Overcoming the challenges of generative AI adoption is quickly emerging as a significant priority for businesses in every industry. According to a McKinsey report, while general AI adoption levels have remained consistent in recent years, 40% of companies are increasing their AI investments, specifically with a focus on unlocking the benefits of generative AI.

The versatility and power of large language model-powered generative AI solutions can pave the way to astronomical business growth. Not only do generative AI tools improve productivity and efficiency, reducing operational expenditures, but they can boost profits too.

In the customer service landscape, for instance, generative AI solutions can empower companies to implement strategies that increase customer satisfaction and retention. According to studies, satisfied customers spend 140% more than other consumers, and help to drive new buyers to your business.

Unfortunately, while generative AI solutions have limitless potential, the implementation of this technology comes with its fair share of challenges.

Here are some of the most significant challenges of generative AI adoption business leaders need to consider today (and how you can overcome them).

The 8 Challenges of Generative AI Adoption

Adopting generative AI technologies isn’t as simple as installing new apps and tools for your contact center or back office teams. There are numerous hurdles to consider, from training and fine-tuning AI models to suit your specific use cases, to preserving security and compliance.

While the biggest challenges facing your organization will vary depending on your specific circumstances, most companies will need to overcome one or more of the following hurdles.

Challenge 1: Aligning Data and Resources

Like many artificial intelligence solutions, generative AI systems are reliant on large volumes of high-quality data. If the data you use to train and inform your models is incomplete, erroneous, or bias, the output you get from your apps and bots will be unreliable.

Unfortunately, many companies struggle to unify and clean their data ecosystem prior to generative AI adoption. To overcome this issue, businesses need to take a multi-faceted approach to data readiness. This starts with identifying which data will be essential to your AI models, based on your intended use cases.

For instance, if you’re building bots to help improve agent training initiatives, you’ll need to access data from previous training initiatives, customer service tools, workforce management apps, and knowledgebase documents. Next, you’ll need to:

• Evaluate and clean your data: Regularly review and sanitize your databases, searching for inaccuracies and potential biases. Ensure that your databases include diverse data sets to enable more holistic responses, and eliminate bias issues.
• Prioritize integration: Choosing a generative AI platform that can integrate and consolidate data from multiple different environments will save you a lot of time and money. Ensure your solution is flexible enough to integrate with your existing resources.
• Leverage human-led tuning: Don’t rely exclusively on your generative AI bots to learn and improve over time. Make sure your data analysts and IT team members are constantly evaluating bot performance for inaccuracies and problems.

Challenge 2: Generative AI Skill Shortages

Limited resources account for many of the challenges of generative AI adoption. In particular, many companies are struggling to access the skilled data analysts and development professionals they need to fine tune and optimize generative AI models.

Around 6 in 10 IT workers say their companies are still struggling with a shortage of AI skills in 2024. As competition for talent increases, companies need a way to overcome this skills gap. One option could be to implement generative AI training initiatives designed to teach employees how to use the latest tools ethically, and effectively in their workflows.

Another option could be to outsource generative AI development and implementation tasks to specialists with experience leveraging large language models and frameworks. One of the easiest ways to overcome the generative AI skills shortage, is to implement solutions and technologies that put the user experience first.

Innovative generative AI platforms, like the Cempresso AI Studio eliminate the need for extensive developer knowledge, by giving users access to a simple drag-and-drop environment where they can configure and design AI models for various applications. With this user-friendly and accessible platform, companies can empower all employees to work together on AI development and implementation, regardless of their experience in the landscape.

Challenge 3: Ethical Concerns and Accountability

Ethical concerns have emerged as a major consideration for many companies implementing generative AI tools. Though generative AI frameworks and algorithms are growing increasingly advanced, they’re not foolproof. Many solutions still suffer from “AI hallucinations”, which mean they can confidently give incorrect answers to questions.

Some solutions can also blur ethical boundaries by stealing copyrighted information from other environments, leading to potential fines and legal repercussions. Working with an AI solution platform that gives you complete transparency and insights into how your AI systems and models work, and where they’re sourcing data from can help you to eliminate these issues.

Additionally, establishing and implementing ethical guidelines that inform employees on how they should use generative AI tools will help to reduce risk. Another good strategy is to regularly review the responses generated by your AI tools, or set up automated solutions that notify your team when a response is considered risky, or unethical.

Challenge 4: Maintaining Legal and Regulatory Compliance

Just as it’s important to ensure your organization is ethical and transparent about the way it uses and trains AI algorithms, it’s crucial to ensure your strategies align with evolving regulatory and compliance guidelines.

While generative AI tools can actually help you to mitigate compliance risks, monitoring suspicious activities and helping you track the flow of data, there are hurdles to address too. Some organizations may need to consider sourcing insights from legal experts, to help them identify potential compliance risks in the way they use data to train and support bots.

Others will need to consider conducting regular compliance audits, ensuring they’re tracking potential issues within AI operations and outputs that could lead to threats. In all industries and environments, it will be important to implement flexible generative AI platforms. After all, regulatory guidelines and compliance frameworks are constantly changing as generative AI continues to evolve.

A flexible platform will allow you to update workflows, policies, and strategies to ensure you remain compliant, no matter how your industry evolves.

Challenge 5: Data Privacy and Security

As mentioned above, most generative AI solutions are powered by “large language models” which rely on access to huge volumes of data from throughout your business ecosystem. The vast amount of data utilized by AI systems poses significant data security risks, with the potential for breaches and misuse. Additionally, companies need to ensure they’re protecting the privacy of individuals whose data is utilized for training and tuning purposes.

The steps mentioned above for improving ethical AI use and compliance will help with these issues. However, companies will also need to ensure they’re implementing layers of security in other areas. This could mean tuning AI bots to remove sensitive information from data collected and stored in business ecosystems, to reduce potential threats.

It could also involve using access control mechanisms to limit which employees have access to certain AI-powered workflows and data. In all cases, adopting top-tier encryption technologies will be essential to securing data inputs and outputs. Ensure the generative AI solutions you implement have the right security measures in place to protect you from data breaches and leaks.

Challenge 6: Huge Computational Resources and Costs

While there are various plug-and-play examples of generative AI tools out there, like Microsoft’s Copilot solutions, or ChatGPT, these technologies rarely offer the purpose-driven functionality modern businesses need. To ensure they’re getting the most value out of their generative AI tools, companies need to be able to customize and fine-tune their AI models.

Unfortunately, training generative AI models doesn’t just require a huge investment in skilled personnel. It can also require companies to spend significant money on computational resources, such as high-performance GPUs. Many smaller businesses can struggle to adopt generative AI solutions, simply because they don’t have the right infrastructure.

The easiest way to address this issue is to invest in a generative AI platform that helps to reduce the impact on your computational resources. For instance, the Cempresso AI Studio can leverage both pre-built open source LLMs and proprietary frameworks, based on your available resources.

It also offers access to an existing back-end infrastructure, which houses the logic for your AI builder, a large vector library, and scalable internal database. The flexible nature of Cempresso AI Studio ensures companies can tap into the benefits of generative AI, without breaking their budget.

Challenge 7: Overcoming Resistance to Change

Throughout every industry, employees are growing more open to the idea of adopting generative AI tools. However, there are still many employees throughout the workforce who believe the adoption of these technologies will render them obsolete, paving the way for hyper-automation to replace human roles.

The reality is that cutting-edge AI technology should empower and augment, not replace human employees. It should help companies to accomplish more with less, by ensuring they can automate repetitive tasks, improve employee productivity and efficiency, and reduce workplace errors.

Showing your team members that you’re committed to a strategic alignment between human expertise and AI innovation will help you to overcome change resistance. Demonstrate to employees how your AI tools can help them spend less time on repetitive tasks and more time on creative work.

Show them how AI tools can provide them with consistent coaching and guidance, helping them to achieve their professional goals faster. Provide teams with a sense of psychological safety, by helping them to understand how their roles will be affected by generative AI innovation. Additionally, make sure you’re consistently investing in training and resources that support adoption.

Challenge 8: Ensuring Scalability and Adaptability

Finally, as your organization evolves, and continues to explore new use cases for generative AI solutions, it’s important to ensure you have the freedom to scale your solutions. The technology you embrace for generative AI modelling and development should offer access to a modular environment that consistently adapts to suit your changing needs.

For instance, Bulb Tech’s Cempresso AI studio is designed specifically to support business agility and scalability. It can integrate with a range of different LLM solutions and APIs, comes with configurable blocks that make it easy to design and customize flexible flows, and enables rapid access to new resource libraries and tools.

With Cempresso AI Studio, companies can implement generative AI into their ecosystems at a pace that suits them, gradually increasing their investment and unlocking new opportunities. More importantly, they can access step-by-step guidance and support from the Bulb Tech team, to help them identify new opportunities for AI automation and areas for growth.

Businesses can combine their AI-powered modelling system with tools for chatbot and virtual agent development, proactive network management, self-service solutions and more. This incredible level of scalability and flexibility ensures businesses from all industries can tailor their generative AI roadmap to their specific needs, and increase return on investment.

Overcome the Challenges of Generative AI Adoption

Generative AI is quickly emerging as a must-have part of the modern business technology stack. Used correctly, it has the potential to reduce operational costs and improve productivity, enhance customer experiences, and even streamline everyday processes.

However, technologies as transformative as generative AI can be challenging to implement. Companies need a strategy to overcome countless hurdles, from change resistance, to security and compliance threats, and even end-to-end integration issues.

Fortunately, Bulb Technologies offers the perfect platform to help address all of these issues. With our flexible, secure, customizable, and easy-to-use Cempresso AI Studio platform, any company can unlock the benefits of generative AI, without the risks.

Whether you’re designing state-of-the-art self-service bots, creating real-time coaching solutions for team members, or just using AI to unify data and leverage valuable insights, our platform can help.

Contact the Bulb Technologies team today to learn how we can help you overcome the challenges of generative AI adoption, and maintain a competitive edge in your industry.

 

Here’s our complete guide to the true ROI of AI in customer support.

A difficult economic environment means every business is striving to accomplish more with less. Even the biggest brands are slashing budgets related to technology investment, hiring, and marketing. Yet despite all this, demand for advanced AI solutions continues to grow.

Some studies show that by the end of 2024, enterprises will spend more than $100 billion on AI solutions and infrastructure. The main reason for this consistent focus on AI evolution, is the return on investment intelligent solutions can deliver.

The trouble is, while many companies already investing in AI have seen the benefits of the right technology for themselves, newcomers to the landscape often struggle to calculate the true ROI of AI tools. It’s easy to get bogged down focusing on clear numbers, like how much an AI system costs.

However, if we dive a little deeper, we can see that the potential AI has to not only save companies money, but increase their revenue, is astronomical.

Calculating the ROI of AI in Customer Service

The benefits of AI are well-documented in the contact center. The right tools can boost productivity, enhance customer experience and retention rates, and transform efficiency. What’s not as clear is the impact AI could have on your bottom line.

There are a few studies out there sharing valuable quantitative insights. For instance, one of the major challenges contact centers face today, comes from the costs associated with long waiting times, and longer average handling times, resulting in a higher “cost per call”.

A study of 18 large companies found that the average cost per call is currently between $2.70 and $5.60, but AI can help companies reduce their costs to well below this benchmark. For instance, generative AI-enabled virtual assistants and chatbots can automate the handling of numerous customer queries, reducing the strain on team members.

However, to quantify the true return on investment of AI, we need to go beyond simply looking at “cost per call” metrics. Let’s dive a little deeper into the financial benefits of an AI investment.

Automating Expensive, Time-Consuming Tasks

One of the most obvious ways AI in customer service saves companies money, and opens the door for higher revenue, is through automation.

With a tool like Cempresso AI Studio, companies can create bots that can automatically triage customer support tickets and messages, streamlining the process of routing customers to the right agent. The right bot can even improve call deflection, determining when a customer’s questions can be answered by a chatbot, and when they need to be transferred to an agent.

You can also design a generative AI bot that can answer common questions for customers 24/7, giving agents more time to focus on more complex, high-value interactions that can’t be automated. This reduces the number of agents you actually need in your contact center, and improves the overall performance of the employees you do have.

McKinsey found that one company increased its resolution rate by 14% per hour, reduced handling times by 9%, and increased customer satisfaction rates, just with generative AI. The analyst noted that applying generative AI to customer care functions could lead to a productivity value boost of between 30-40%. However, AI isn’t just an excellent tool for capitalizing on “call deflection” opportunities with self-service solutions.

It can also automate a range of other processes, such as:

• Recording and transcribing calls, then uploading data about a customer to a customer data platform, or CRM system, without human intervention.
• Analyzing customer sentiment and previous calls, to detect at-risk customers, and opportunities for cross-selling or up-selling, increasing revenue.
• Generating self-help content for customers, such as FAQ pages, guides, articles, and even step-by-step video content.

Enhancing Agent Productivity Through AI Empowerment

One of the major benefits of AI in customer support, is the ability to empower and enhance agent performance. The more productive and efficient your team members are, the less you’ll pay to run your contact center overall. According to Zendesk, it’s AI tool can increase productivity by 10%, yielding a potential $146,000 in annual savings.

Often, companies align the productivity cost savings of AI with the concept of automation. While automation certainly helps to reduce operational costs (as mentioned above), AI doesn’t just automate, it also empowers and informs.

Generative AI tools can summarize conversations for agents, providing agents with real-time step-by-step guidance that helps them reduce call resolution times. AI systems can automatically surface information for an agent about a customer during a discussion, responding to keywords spoken, and insights into sentiment.

They can even save employees time in the long-term, with predictive analytics. Predictive insights can help teams forecast future customer behaviors and trends in advance. This means teams can implement strategies to mitigate the need for customers to call their contact center. For instance, if you know you get an influx of calls about delivery times around the holiday period, you can send a message out to all of your customers letting them know about delivery delays.

AI can even help employees complete everyday tasks more effectively, from creating personalized email follow-up messages, to analyzing data.

Driving Higher Quality Customer Interactions

Similar to the ROI of AI in customer service, the overall return on investment you can expect from delivering an excellent customer experience can be difficult to quantify. However, there are various ways that excellent customer experiences contribute to a company’s bottom line. For instance:

• Improved customer retention: The more customers you can retain, the higher your customer lifetime value will be. Studies show that existing customers are significantly more profitable than new customers, often spending 31% more on each purchase.
• Greater customer loyalty: Loyal customers don’t just spend more with your company, they also help to drive new customers to your organization. Word of mouth marketing from happy customers can reduce your promotional costs, and your customer acquisition costs.
• Increased revenue: Studies show that 84% of companies who improve their customer experience also increase their revenue. That’s because customers spend up to 140% more when they have a positive experience with your brand, and 86% will actively spend more if they know they’ll get a great experience.

In fact, brands who view customer service as a value center, rather than a cost center, achieve 3.5 times greater revenue growth. While there’s more to delivering an excellent customer experience than simply implementing the right AI tools, it’s a good start.

Studies show consumers who engage with conversational AI are typically more satisfied, because they benefit from reduced holding times, and get a more personalized experience.

Generative AI tools can conduct sentiment analysis in real-time, and provide guidance to employees that helps them to deliver a more meaningful, empathetic interaction. Additionally, because these tools can offer 24/7 service, speed up call routing and handling times, and provide employees with access to personal customer data, they can enhance experiences in a variety of ways.

AI Increases Revenue Opportunities

As we noted in the previous section, generative AI has an incredible ability to increase your potential to earn revenue, in any industry. It’s not just improved customer experiences and retention that increase your revenue either.

Generative AI algorithms can analyze customer preferences and purchasing histories over time, and provide agents with guided strategies for upselling and cross-selling. This opens the door to significantly increase the average order value of each customer. Additionally, AI-powered bots can use the same data to send personalized recommendations to customers on your website, or via a messaging app, driving more customers to your product or service.

With predictive AI tools, companies can determine which customers are most likely to buy a new product, or figure out when someone needs to make a repeat purchase, and reach out to them proactively. AI can even help to prevent customers from abandoning their shopping cart on an eCommerce website.

Installing a bot on your site that detects when a customer is about to leave a page and asks them about any queries or concerns, they had can be a huge revenue saver. It gives you a chance to avoid losing a customer, by addressing their objections, and even offering discounts in real-time.

AI can even automate parts of the lead nurturing process, sending emails and messages to customers at the perfect time to capture their attention and encourage them to buy something. There are even tools that can tailor each marketing message to the location, or previous purchases of your customers.

Streamlining Data Analysis with Artificial Intelligence

When it comes to analyzing the potential ROI of AI in customer service, the impact intelligent tools have on data analysis can’t be overlooked. AI tools can help companies to connect various crucial data points from throughout their ecosystem, for an in-depth guide into ways to reduce operational costs, and increase revenue.

With the right AI technology, companies can evaluate their processes and team performance, looking for potential bottlenecks that could be wasting time and money. You can rapidly identify which parts of your workflow can be automated, and even detect which of your marketing and sales campaigns are driving the biggest return on investment.

AI in customer service also allows companies to gather valuable insights into their target audience. The more you know about your customer’s journey, their pain points, goals, and decision-making process, the more you can optimize your sales and marketing campaigns.

If you know what causes different segments of your audience to convert, you can boost your chances of earning higher profits over time, with data-driven strategies. You can even detect which factors increase the likelihood of customer churn, to improve your retention rates.

For instance, if you notice that customers often abandon your SaaS company after struggling to use the software, you can create an automated AI-driven on-boarding strategy that teaches each customer how to get the most value from their investment.

Reducing On-boarding and Training Costs

While AI augments and enhances agent performance in the contact center, it doesn’t eliminate the need for human specialists. Customer service will always require a human element, as bots can’t replicate the empathy, compassion, and creativity of human beings (yet). However, AI can help you to get the most out of your human staff members, by enhancing training.

Advanced AI solutions, like Bulb Technologies’ Agent AI can provide team members with immersive coaching and training experiences, delivered in real-time. A customized bot can give your team members step-by-step instructions on how to address common customer issues, respond to queries, and even improve their rapport with frustrated customers.

These tools can suggest the next course of action to take in various scenarios, and even automate the process of collecting feedback for insights into agent performance. Plus, they can provide supervisors with valuable overviews of their teams’ strengths and weaknesses, then help them to generate comprehensive training resources, like courses and guides.

With AI, companies can streamline the process of on-boarding and up-skilling their agents, with real-time, automated training, accessible in any environment. This not only improves the agent experience, but it significantly reduces the risk of talent turnover, which can save your company a lot of money, particularly in a skills-short market.

The ROI of AI in Customer Service is Higher than You Think

Ultimately, there are costs involved in purchasing and implementing the latest AI technologies, but the return on investment is much greater than you’d think. AI not only improves operational efficiency, and boosts employee productivity, but it can transform customer service experiences, and open the door to new forms of revenue.

With the right AI tools, companies can increase their customer lifetime value rates, boost retention, and even lower the cost of customer acquisition and marketing. They can also save money on additional personnel, by automating tasks, and simplify the process of on-boarding and up-skilling staff.

When deployed correctly, generative AI can make your customer service strategy more powerful, and more cost effective than ever. Plus, thanks to Cempresso AI Agent Studio, the cost of developing your own intelligent solutions isn’t as high as it once was.

With our innovative and user-friendly platform for AI development and integration, there’s no need to spend a fortune on proprietary models and developers. Anyone can build a comprehensive AI-focused customer service strategy, without the complexity.

Contact Bulb Technologies today to learn how you can save money and increase revenue with Cempresso AI Agent Studio.

 

Countless companies in virtually every industry today are looking for streamlined ways to integrate AI into their existing processes and systems. Why? Because AI has the power to streamline your operations, enhance data insights, empower employees, and optimize results.

More than 55% of firms in one study are implementing AI into their business environments in some way. The trouble is, infusing a powerful new technology into your existing ecosystem can be more complex than it seems. There are a lot of moving parts to consider, various risks to overcome, and challenges to address.

As experts in the creation of powerful, customizable tools for infusing AI into business processes, Bulb Technologies is here to help. Here’s your guide to effective AI integration.

How to Integrate AI into Your Business: Step by Step

Implementing any new technology into your organization requires a comprehensive plan. AI is no exception. You’ll need to establish exactly what you want to accomplish with your intelligent tools, which frameworks, and types of AI you want to use and more.

Let’s dive into the step-by-step process.

Step 1: Define Your Project Goals and Use Cases

The first step is defining your goals and objectives. When you choose to integrate AI into your ecosystem, you’re doing it for a purpose. It might be that you want to streamline customer experiences, with intelligent ticket triaging, or self-service bots. Alternatively, you might want to address complex tasks like data analysis with the help of generative AI tools.

The most common applications of AI in business systems include:

• Automating processes: AI tools can help you automate a range of tasks in your organization. They can streamline everything from scheduling your teams based on demand forecast, uploading data to different environments, and summarizing content. They can also automate customer experience tasks, like triaging tickets, emails, and chats.
• Data analysis: One thing AI tools does a lot better than human beings, is process large amounts of data quickly. Our Cempresso Expert Modeler solution even allows you to create tools that can break datasets down into groups and validate data quality.
• Empowering employees: AI isn’t here to replace your team members, but it can augment them. It can help with things like managing common customer service requests, providing step-by-step coaching to team members, or even surfacing data faster during workflows.

Step 2: Start to Invest in AI Skills

With access to solutions like Cempresso AI Agent Studio, your teams can design workflows without extensive coding knowledge or programming skills, using a simple drag-and-drop environment. However, that doesn’t mean that training isn’t valuable.

Training your team members on how to leverage AI effectively, use technology ethically (and in accordance with your compliance guidelines) and avoid risks is crucial. The good news is there are plenty of resources out there you can access for free. For instance, Microsoft has it’s own AI business school service. Of course, it’s also worth creating your own targeted courses.

Once you decide on the AI tools, frameworks, and even LLMs you’re going to implement, gathering documentation you can share with your employees will help to facilitate adoption.

Step 3: Determine the Data Sources You’ll Need to Use

AI in all of its forms relies on data to function effectively. No matter which Large Language Model, or AI framework you’re going to be using, you’ll need to ensure your technology can draw data from the right resources, to train and refine your AI models.

This step requires a little work. You’ll need to start by assessing what kind of data your bots will need to access, based on your use cases. For instance, if you’re designing bots for customer service, you’ll need data from your CRM system, your customer support software, and your business knowledge base. You then need to clean and process your data, to ensure it’s accurate and useful.

Working with data experts during this stage can be useful, particularly when it comes to ensuring the data sources you’re using align with applicable laws, regulations, and policies.

The good news is once you’ve defined the data sources you need, the right AI model builder should allow you to integrate with the resources and tools you want to access instantly. For instance, with Cempresso, you can access a host of easy integrations for all of your existing tech.

Step 4: Select the Right AI Components

Now you have your data, and your use cases in mind, it’s time to think about the core tools you’re going to need to integrate AI into your current systems. First, you’ll need to choose the frameworks or large language models you want to use. Quick tip: with Cempresso AI Agent modeler, you can choose from a range of proprietary and pre-built LLMs, to suit your needs.

You’ll also need to think about which tools you’re going to use to actually design your AI solutions. Obviously, for this stage, we recommend using the Cempresso AI Studio. Our custom-built solution simplifies the creation of agents, chatbots, and chains, with a drag-and-drop interface.

Plus, it comes with pre-built configurable blocks that can adapt to any requirements you might have. You can use this solution to create all kinds of flows, with minimal restrictions. Plus, the system can easily grow, scale, and adapt to suit your changing needs.

Step 5: Allocate Resources

The right technology can make it easier to integrate AI into your ecosystem without a huge amount of initial investment. However, you’ll still need to ensure you’re allocating and using resources effectively. First, you’ll need to decide whether you’re going to create an internal task force for your project, or rely heavily on the support of an AI solution vendor.

The decision will depend on the project’s scope, the complexity of the task, and the level of expertise you need. Next, you’ll need to think about how you’re going to allocate specific resources to your projects, factoring employees, external experts, and budgetary requirements into the mix.

Step 6: Build Your AI Solutions and Flows

The process of actually building your AI solutions and workflows can be either very difficult, or very straightforward, depending on the technology you access. Based on the use cases you’ve identified, start mapping out flows for your AI solutions, thinking carefully about how you can ensure these intelligent solutions can benefit your employees and customers.

Remember, the strategies you use during the building process can vary depending on your existing IT infrastructure. You might prefer to use pre-built blocks and systems if you have limited resources, or you may choose to host and configure everything yourself. Cempresso’s AI Studio allows you to choose between using cloud-based LLMs, and local LLMs, depending on your resources.

Plus, it gives you the backend infrastructure, proxy servers, vector stores, and database solutions you need to start experimenting with AI-powered chains and tools. We recommend starting with a small project, and testing its functionality extensively, before you make any major changes.

 

Step 7: Begin the Integration Process

Now you have your chains and AI flows, you can begin to integrate them into your existing workflows and systems. If you’re using a solution like Cempresso AI studio, this process should be relatively simple, as our technologies can seamlessly integrate with a range of technologies.

The biggest challenge you’ll face here is adapting your processes and workflows to include AI. Look at the processes you’re going to be changing with artificial intelligence, and start creating new standard operating procedures for your teams.

For instance, if you’re introducing new AI bots into your customer service strategy, you might need to create a new process that looks at how self-service solutions will triage customers, and pass them over to agents when human intervention is needed.

Step 8: Testing and Optimization

Finally, once you integrate AI into your systems and processes, it’s important to ensure you’re monitoring the impact it’s having on your employees, customers, and overall performance. Think about the metrics you can monitor to determine whether your solution is driving results.

For an AI service bot, for instance, you might monitor how many issues your employees handle each day, compared to how many requests are managed by AI. You could look at things like average handling times in the contact center, first-call resolution rates, and customer satisfaction.

It’s also worth gathering feedback from end-users of your AI systems. Ask them what they like and dislike about the solution, and which changes they’d like to implement.

Integrate AI into Your Systems with Bulb Technologies

Learning how to integrate AI into your existing systems and processes can seem complex at first. In the past, the process required a significant amount of technical knowledge, and investment. However, at Bulb Technologies, we’ve designed a simpler way to streamline access to intelligent tech.

With Cempresso AI Studio, any company can create intuitive AI flows and chains, with a range of LLMs, and direct integrations to their existing technologies. Our solution can adapt to any business or industry need, and scale with your organization as you grow.

Contact us today to learn more about the Cempresso AI Studio, and how it’s revolutionizing the process of infusing AI into business processes.

 

The customer service landscape has evolved at a phenomenal rate. In recent years, customers have begun to expect more from the companies they work with.

They want every interaction with a business to be as convenient, streamlined, and personalized as possible, and they’re unwilling to accept anything less than the best. To meet these changing expectations, companies mustn’t only upgrade, train and reskill their service teams. They must also be prepared to adapt to a new age of communication.

Because to achieve the convenience and simplicity they crave, consumers are increasingly turning away from traditional communication channels and embracing the digital age. More than ever, consumers are using self-service channels, online chats, and other tools to engage with brands. If you don’t offer high-quality digital customer service, you can’t compete in the CX space.

What is Digital Customer Service?

Digital Customer Service is essentially a strategy for supporting and advising customers through a range of “digital” channels, including mobile apps, email, chat, and messaging apps. The number of digital communication channels is quickly outpacing traditional methods of engaging with customers, and consumers are demanding more options from the brands they connect with.

With a digital customer service strategy, companies can ensure they’re providing service that fits their customers’ needs and lifestyles. For example, there are now 3.5 billion smartphone users worldwide. They use their digital devices for texting and messaging, buying products and services, consume services. It’s only logical that they’d want to continue using the same tools and platforms when engaging with brands.

Consumers also appreciate the convenience, speed, and simplicity that many digital channels offer. Sending a message to a customer service representative is often easier than waiting for a representative to answer a call. Even if conversations can’t be handled faster through digital channels, these platforms give customers more freedom to engage in other tasks while they wait for assistance.

 

How to Audit Your Digital Customer Service Strategy

Building an effective digital customer service strategy starts with assessing your current CX efforts. Assessing your ecosystem, your customer’s journey, and the pain points customers currently face will ensure you’re on the right path to evolution. For example, take a look at:

 

• How customers engage: Start by asking yourself how your customers are currently engaging with you. Which channels do they use, and which do they prefer to avoid? Do they constantly use email or messaging instead of voice? What kind of communication methods do your customers constantly ask for? Do your customers want or need self-service applications to solve their own problems?
• Your communication channels: What channels are currently available to you for customer communication? Chances are you use at least a handful of methods to connect with your customers, such as email and phone. Ask yourself if you’re providing the right range of solutions based on what you know about your customers.
• The marketplace: How does your CX strategy compare to your competitors’ options? What channels do they offer that you don’t currently have? What new trends are emerging in your industry when it comes to customer service and communications? Are there opportunities for you to differentiate your service?

Areas to Prioritize for Better Digital Customer Service

After examining your current CX strategy, you’ll be in a better position to make some effective changes to your digital customer service. While there’s no one-size-fits-all strategy for keeping customers happy and loyal, focusing on a few key areas can boost your chances of success.

Here’s where you should start if you want to upgrade your digital customer service.

 

1.    Expand Your Omnichannel Strategy

Most companies know that they need to offer an omnichannel customer service strategy if they want to delight their customers in the modern world. While it’s important not to overwhelm your employees with too many channels at once, offering the right set of options can be a great way to stand out from the competition.

For example, in addition to instant messaging, email, and voice calls, you could also offer video-based customer service for VIP customers. Some 24% of retailers are even considering options like augmented reality and the metaverse for customer experiences.

No matter which channels you choose, make sure they’re all properly aligned. Make sure your channels are connected on the backend so you can push information from chatbots to agents and vice versa across a range of platforms. This leads to a more consistent experience.

2.    Leverage the Power of AI

Artificial intelligence is no longer just a buzzword, but an integral part of digital customer service experience. Some 85% of CX experts believe it’s important for companies to take advantage of AI right away.

One of the best and easiest ways to implement AI into your CX strategy is through self-service. Developing self-service apps and virtual assistants that are able to respond to common customer issues, help customers troubleshoot problems, and even route calls to the right agent can provide a number of benefits. Empowering customers to resolve issues on their own leads to higher customer satisfaction and retention.

It also helps you reduce the workload your team members have to handle on a daily basis. With an AI system that solves common problems for customers, fewer calls and messages are likely to be routed to your agents, giving them more time to focus on important conversations.

 

3.    Dive into Automation

Hyper-automation is likely to be one of the most important trends in the CX landscape in the coming years. Numerous companies have already found that effective automation not only improves the customer experience but also has a positive impact on the employee experience. Some 76% of agents say automation helps them focus on more complex tasks that bring actual value to the customers.

Automation options can take many forms for customer service agents. They can use automated routing services to ensure customers are always routed to the agent best suited to handle their calls and inquiries, reducing the need for transfers.

In a customer service environment, you can use automation to eliminate repetitive tasks that employees perform daily. For example, recording calls and updating customer information. You can even use automated bots to provide agents with valuable information in real-time as they deal with customer inquiries and issues.

 

4.    Unlock Your Staff’s Full Potential

Part of building an exceptional digital customer service strategy is recognizing that in today’s world, it’s not just about providing a great customer experience. If you want to stay ahead of the competition, you need to think about the “total experience”. In other words, consider how your employees’ and managers’ experiences impact your operations.

To improve the engagement, productivity, and efficiency of your team members, adopt an all-in-one customer service platform. A flexible platform that is able to connect all of your omnichannel communication strategies will reduce the amount of time your employees spend switching between different applications. You can even connect CRM tools and other useful resources to improve the flow of data between team members. With the use of such platforms, you can empower your team through automated guidance and full-scale automation to diminish repetitive tasks and create a unified process regardless of which agent is completing the steps of the flow.

Regular training and guidance on how to effectively use new digital tools can also be of great benefit. You can even help your employees become developers themselves by teaching them how to use low-code and no-code tools to automate their own workflows.

 

5.    Keep Evolving

Excellent digital customer service doesn’t mean updating your platforms and tools once and leaving it at that. The landscape of customer experience is constantly changing. New technologies are constantly coming to the market, and customer expectations are evolving accordingly. That means it’s important for any business to stay agile.

Leverage open and flexible technologies that can scale your business and evolve over time. Take advantage of analytics and reporting tools that help you track key business performance and employee satisfaction metrics, and then use those insights to make smart decisions. Measure how your processes are performing. This is very important for processes that are only partially automated. Do not operate in the dark, you will trip.

You can even extend your insights by supplementing your analytics and reporting tools with automated surveys of your key customers. This gives you a behind-the-scenes look at what your customers want most from your team.

Prepare for the Digital Age

Digital Customer Experience is quickly becoming the new norm for companies around the world. If you can’t serve and support clients on the right digital channels, you’ll have no hope of competing with the other companies in your industry.

Fortunately, taking advantage of the benefits digital customer service can offer doesn’t have to be difficult. With Bulb Technologies and the Cempresso platform, you can easily begin building a strategy for digital transformation today. Contact us to find out more.

 

 

Figuring out how to meet and exceed customer expectations isn’t as easy as it seems.

All companies know that if they want to compete in today’s marketplace, attract new customers, and retain their existing ones, they need to provide excellent service. However, in recent years, customer expectations have changed and evolved.

Currently, 66% of customers say they expect the companies they work with to understand their needs, and 52% expect every interaction to be personalized. In addition, in a world of digital transformation and same-day shipping, consumers expect every service to be available instantly.

This puts a lot of pressure on companies to develop CX strategies that are fast, efficient, and personalized for each customer. Fortunately, while meeting customer expectations isn’t always easy, it can be done. Below are 8 strategies you can use to ensure you’re aligning your service strategy with your customer expectations.

1.    Get to Know Your Customers

The first step to meeting customer expectations is to understand what your customers want from you. In most cases, many customers value the same things as speed, convenience, and personalization. However, you’ll find that some customers value things like empathy and compassion more than others.

By gathering as much information as you can about your target audience, you can develop a customer service strategy that meets their expectations. Don’t just determine basic demographic information like where your customers live or their age. Find out which communication channels they prefer to use, what their main problems are, and what their goals are.

Using a reporting tool integrated with your contact center is a great way to continuously gather more data about your customers so you can map their service history.

2.    Evaluate Your Competitors

88% of customers say they expect companies to constantly innovate and improve their services. If you stand out from other competing brands, you have a good chance of attracting and retaining customers. But you can only do that if you know what your competitors are offering. Conducting a competitor analysis SWOT can help you do this.

Identify the key competitors in your current market and ask yourself how they address your customers’ needs. Do they offer self-service options while you do not? Can they serve their customers through a variety of different channels, from voice to video?

Knowing what your competitors are doing will also give you clues on how to stand out from the crowd. For example, if none of your competitors offer face-to-face interactions with human agents, consider this strategy.

3.    Prioritize Speed

As mentioned earlier, speed is one of the most important things a customer expects when working with a company these days. With this in mind, you should constantly be looking for ways to make your strategy even more streamlined and efficient. Around 90% of customers today say they consider an “immediate” response from customer service to be important.

While you may not be able to set up a support team that’s available 24/7 to handle inquiries, you can implement automated systems to keep your customers in the loop. For example, you can deploy a chatbot that automatically responds to customer inquiries and gathers information about their concerns before forwarding them to an agent.

You can also use smart tools to help your agents handle calls faster. For example, an all-in-one contact center management dashboard that integrates with your CRM gives your agents access to the information they need to instantly personalize the customer experience. Chat assistants and automated bots that can provide customer profile data to agents can also speed up the service process, as agents spend less time searching for information.

4.    Set Metrics for Success

Impressing and delighting your customers is something you need to work on consistently. You can’t just put policies in place and hope for the best. You need to be able to track and monitor the changing customer service landscape and the success of your teams.

Decide which key support metrics you want to focus on to improve your CX strategy. For example, you might focus on things like first resolution rate, average resolution time, and customer satisfaction scores. Once you have an idea of the metrics you want to monitor, be sure to share them with your staff. Having access to dashboards where team members can track their performance in real-time can help increase engagement and productivity.

It’s also worth keeping an eye on which employees aren’t meeting expectations. By monitoring the right metrics, you can identify where you need to provide additional training and support to your team members.

5.    Connect your Teams

Around 76% of customers say they expect consistent interactions with companies across departments. However, more than half also say they feel that marketing, sales, and service teams never share information. Breaking down corporate silos will help you provide a more connected journey for your customers. So make sure your employees can easily collaborate and share information.

Use automated systems to transfer information between teams and improve the customer experience as customers move from one communication channel to the next. It might even be a good idea to implement internal communication tools for your teams to easily collaborate with other professionals on complex issues.

By linking your Unified Communication System and Contact Centre ecosystem, your employees can easily access additional support without having to constantly refer customers to other employees.

6.    Use the Right Technology

Technology is one of the most valuable tools at your disposal when it comes to improving customer service. With the right tools, you empower your agents. More engaged, better-supported agents lead to happier customers. Think about what tools you can use to improve your employees’ workflow.

An all-in-one ecosystem for tracking messages and requests across channels can help your employees deliver a more connected experience without having to jump back and forth between different applications. Automation tools can reduce the number of repetitive tasks your employees have to complete when handling calls and data entry. That means they have more time to focus on customer service.

You could even consider integrating AI bots and virtual assistants into the agent dashboard for your team members. These tools can offer advice and best-practice guidance, or deliver real-time coaching based on customer sentiment and needs.

7.    Empower your Customers

Today’s customers do not just want companies to make sure their employees are able to serve them effectively. They also want the ability to ask questions and solve problems themselves. Self-service solutions such as chatbots, automated assistants, and FAQs are becoming increasingly popular. By using self-service solutions, you can give your customers the freedom to take control of their service experience whenever they want.

Self-service solutions not only lead to higher customer satisfaction but can also save your business time and money. Self-service solutions can help you deflect frequent and repetitive calls that would otherwise take up the attention of your experts.

Remember, the best self-service tools can help businesses not only with simple issues but also with more complex questions and concerns. The smarter your bots and systems are, the easier it will be for them to provide 24/7 support. Use machine learning, natural language processing, and conversational intelligence to create human-like experiences with automated tools.

8.    Listen to Your Customers

Perhaps the most effective way to ensure you’re meeting your customer’s expectations is to listen to their feedback. Use social and digital listening tools to keep your finger on the pulse of the conversations that revolve around your brand. Find out how your customers feel about your business, and ask yourself if you can identify any trends or patterns in their complaints.

Sending out regular customer satisfaction surveys and asking your customers for reviews and testimonials can help you make sure you know what they really want from you. You can even consider offering your customers rewards and discounts in exchange for their reviews to increase your chances of getting more feedback.

Once you’ve gathered as much information as you can from your customers, use it to make decisions about how to evolve and expand your CX strategy.

Live Up to Customer Expectations

Meeting the expectations of today’s customers can be more difficult than it used to be. Today’s customers expect more from businesses than ever before, and many brands are struggling to keep up. However, if you can ensure that you’re delivering experiences that meet your customers’ expectations, you can achieve phenomenal results.

Contact Bulb Tech today to find out how our comprehensive Cempresso platform can provide you with the resources you need to improve employee and customer experiences.

 

Automation is a hot topic in virtually any business landscape. As workplaces become more distributed, customer expectations evolve, and processes change, companies are turning to automation to reduce costs, boost efficiency, and improve business results.

Currently, the market for automation technology is growing at a phenomenal rate. According to one study, Industrial automation will reach a value of $412.8 billion by 2030. Robotic Process Automation (RPA) is expanding at a CAGR of 23.4%, accelerating toward a predicted value of $43.5 billion by 2029. Even intelligent automation is on the rise, as more companies invest in AI solutions.

Among early adopters, automation has proven itself to be a valuable strategy for minimizing errors in workflows, improving business outcomes, and increasing revenue. Unfortunately, many business leaders and employees are still holding back on adoption.

Why? There are many reasons. However, one core concern is uncertainty about the impact automation will have on human jobs. In a world where virtually everything can be automated, specialists are asking whether the human worker will soon become obsolete.

The Impact of Automation on Jobs: An Introduction

Discussions about whether automation will destroy or disrupt the human workforce have been happening for some time. One of the most commonly cited reports on the subject, created by Carl Frey and Michael Osborne is often cited for suggesting around 47% of existing jobs will be replaced by automation. However, it’s often worth noting this report is frequently taken out of context.

Frey and Osborne actually said that some functions within 47% of jobs will be automated – not that almost half of the jobs we know today will disappear.

This isn’t the first time a new technology has led to concerns in the labor market. Just a few decades ago, the introduction of the internet created a similar panic. Many people assumed the internet would completely eliminate their role and make it impossible to find new work. However, the online world actually created millions of new jobs, comprising around 10% of the US GDP.

It’s fair to say that AI and automation will change the job market. After all, automation will remove the need for certain repetitive tasks, which could lead to some roles disappearing. However, most experts believe the number of jobs “eliminated” by automation will be outweighed by the new opportunities created for professionals.

Additionally, the number of jobs that will be completely eradicated by automation is likely a lot smaller than most people realize. According to a report by the McKinsey Global Institute, around 60% of jobs are made up of around 30% automate-able tasks. However, only 5% of existing professions can be automated completely, according to the study.

The Real Impact of Automation on the Workforce

While there have been a number of reports discussing the potentially negative impact of automation on employment, experts have also produced a huge selection of reports showing that AI and automation are beneficial, not destructive. According to the PWC Global Artificial Intelligence study, AI is set to lead to an estimated 26% increase in global GDP by 2030.

The report suggests the increased productivity and efficiency generated by automation will contribute to around 40% of this increase. While AI and automation may eliminate some jobs, PWC believes any job losses created by automation will be offset by the new jobs created by a larger, wealthier economy. Other reports and studies have backed up this mindset.

The Future of Jobs Report created by the World Economic Forum in 2020 found that around 85 million jobs may be displaced by automation, while 97 million new jobs will be created. Research from the University of Warwick also found that only a quarter of the firms that had introduced AI and automation into their ecosystem had implemented any significant redundancy strategies.

Indeed, the number of jobs that were eliminated from businesses after implementing AI and automation was roughly the same as it had been before the new technology was introduced. Around half of the companies surveyed said investing in AI had actually led to more new jobs being created.

How Automation Will Strengthen the Workplace

Many companies are already beginning to see the benefits of adding AI and automation to their workflows. These intelligent tools can automate repetitive and dangerous tasks, from data entry to assembly line manufacturing, making teams more efficient and productive. Not only do they help to protect employees from risk, but they also empower teams to focus on more value-added tasks.

Rather than spending hours on data entry, teams in a workplace that supports automation can focus their time on making emotional connections with consumers and completing creative, strategic tasks.

Realistically, adding automation to the workplace will inherently lead to new demands from companies. In order to leverage automated solutions correctly, companies will need to hire employees capable of working with and configuring automated workflows. The right automation solutions require continuous updates and improvements, from real human beings.

However, it’s worth noting that the new job market will require more upskilling and reskilling, to ensure employees are capable of handling the new tasks they’re expected to face. The World Economic Forum predicts in the next 5 years, half of all workers will need to access some manner of extra education to prepare for the change that automation brings.

What this tells us is that companies won’t necessarily be looking to replace their workers with bots, but enhance the skills and develop the talents of their existing employees, so they can work in unison with the right intelligent solutions.

Companies that do invest in actively preparing their employees for the age of automation are more likely to see significant benefits. According to research from the Columbia Business School, investing in AI and automation helped companies to increase their revenue by 15%, while also providing them with the tools they needed to expand their product range and market reach.

The more companies grow, the more employees they’ll need to handle the tasks that simply can’t be automated, like building empathetic connections with consumers and coming up with creative solutions to problems.

 

Automation will Disrupt, not Destroy

Any new technology brings change to a business. Just as the internet opened new doors for companies, providing them with different avenues to connect with and engage their target audience, automation will unlock endless opportunities for enhancing and improving business processes. With this evolution will come a change to the way companies hire and train employees.

However, it’s unlikely that automation will actually eliminate the need for human workers. No matter how intelligent and effective automated systems become, there will always be a need for employees who can create, innovate, and communicate empathetically with clients.

Those worried about the impact automation might have on the future of jobs may benefit from remembering that the job market is always, consistently changing. After all, 60% of the jobs we know today didn’t exist a generation ago.

Automation isn’t a threat coming to wipe out the staff of everyday companies. It’s an opportunity to create more immersive, engaging, and create jobs for the professionals of tomorrow. Automation will help companies to grow faster, reach new customers, and even design new job roles for skilled individuals. The disruption in the job market caused by automation may be inevitable, but it doesn’t necessarily need to be a bad thing.

 

 

6 Strategies for CX Success

Good customer experiences are something that virtually every company strives for today.

After all, we know that customers aren’t just looking for great prices or exceptional features when making purchasing decisions, they’re also looking for amazing experiences. In fact, 73% of consumers say CX is a critical factor in purchasing decisions.

While customer experience may be the ultimate battleground for modern businesses, there is no universal definition of what a “good customer experience” should look like.

Virtually every company has its own idea of the perfect customer experience. Some focus on speed, others on the power of empathy, and so on.

So how do you define a good customer experience, and more importantly, how do you craft it?

What is a Good Customer Experience?

According to Gartner, 81% of companies compete with other organizations based solely on their customer service initiatives. To win in this environment, companies must have at least a basic understanding of a “good customer experience” is.

Simply put, a good customer experience isn’t necessarily about providing support faster than the competition or offering a wider choice of communication channels. Rather, it’s about consistently meeting and often exceeding your customers’ expectations.

In other words, a good customer experience is subjective. It depends entirely on what your customers expect most from you. This means that defining what “good CX” should look like in your business starts with one simple thing: you need to get to know your audience.

Gathering insights about your customers’ sentiment, CSAT scores, NPS ratings, etc. will help you define where you should focus your efforts.

How to Deliver Good Customer Experiences

While the exact nature of an excellent experience can vary from company to company, there are some core components that virtually every customer associates with a good experience. If you want to ensure you’re competitive in the CX landscape, your strategy should revolve around these points:

• Convenience
• Speed
• Efficiency
• Proactivity
• Personalization
• Empowerment

Now let’s look at some ways you can integrate each of these components into your CX strategy.

1.    Provide Convenience with Omnichannel Service

Every customer, whether a B2C customer or a B2B customer, wants their interaction with businesses to be convenient. There are a few ways you can eliminate customer service friction with the right CX software, but the easiest way is to meet your customers where they’re and provide support through their preferred channels.

When customers spend most of their time interacting with brands on social media, they don’t want to have to find a phone number and contact a call center to get help; they want to be able to message you on the same channels they use to read news about your company and chat with their friends.

Find out where your customers are most likely to connect with businesses and make sure you’re able to offer support on those platforms. Most importantly, give your customers the ability to move between channels without having to start over.

A true omnichannel customer service strategy allows you to provide a consistent, contextual experience as your customer moves from one platform to the next by ensuring that every agent has access to consistent information about the customer journey.

 

2.    Speed Service with Better Processes

Speed has long been a critical factor in good customer service. Whether your customers are buying a product or trying to solve a problem, they want a quick response. In recent years, the need for speed has only increased thanks to the rise of real-time chat tools, same-day delivery, and other speed-oriented service solutions. That means you need to be faster than ever.

The good news is that there are several ways to increase your speed by streamlining your CX processes. Start by training your employees and giving them the knowledge they need to solve problems quickly. Every employee should fully understand your products and services and have access to the tools they need to find information quickly. Virtual assistants and chatbots are great for giving agents faster access to information. You can also use automation technology to increase speed.

Automating processes like call routing and data entry means customers can get to the right agent faster, and agents can move between calls more quickly without having to complete the process faster.

 

3.    Give Agents the Right Tools to Boost Efficiency

Good customer experiences and good employee experiences are inextricably linked. You can’t have one without the other. According to one report, companies with the most engaged employees also have 81% higher customer satisfaction.

To keep your employees happy, you need to give them the tools they need to do their jobs effectively. Start by creating a unified workspace where employees can access all the tools and information, they need to serve customers in one convenient environment. That way, they spend less time switching back and forth between different applications. Improve workflow by automatically routing customers to the agents with the right skills to resolve their issues and eliminate repetitive tasks.

It’s also helpful to ensure that your agents can work collaboratively on customer issues. When you connect customer experience tools and software with collaboration apps, your agents can easily share ideas and transfer calls without requiring extra effort from the customer.

4.    Use Insights to Become Proactive

A study by Gartner shows that companies need to become more proactive and less reactive to compete in today’s customer service landscape. Good customer service means responding to customers’ needs as they arise, but great service starts with being ahead of the curve.

While no company can predict the future, you can use analytics, reporting, and business insights to effectively improve the way you respond to customers’ needs. With the right real-time and historical reporting tools, you can track customer service trends to identify your customers’ most common problems and find ways to solve them.

You can also use customer data to recommend products to your customers that meet their needs, provide insights into when subscriptions expire, and more. With the right tools, you can even proactively monitor technology remotely and fix problems automatically.

5.    Leverage AI for Personalization

Today’s customers not only want their experience to be fast and efficient, but they also want it to be tailored to their specific needs. When you tailor customer service to your customer’s needs, you lay the foundation for better relationships, stronger loyalty, and higher retention.

The good news is that you probably already have the tools you need to provide a more customized service. Some 83% of customers say they’re willing to share data with companies if they believe it’ll lead to a better customer experience. Using the data, you collect with your contact center and CRM technologies, you can tailor your services to each customer.

With automated screen pops built into CCaaS tools, companies can even give their agents insights into a customer’s preferences, past purchases, and needs before they even pick up the phone or respond to a chat message. Just be sure to protect the data you’ll use for personalization because data breaches can be devastating to a company’s reputation.

6.    Empower Customers with Self Service

Finally, it should be remembered that today’s consumers don’t necessarily need an agent to handle all their requests for them. Many consumers are perfectly capable of solving their problems themselves, provided they have the right resources at their disposal. With this in mind, it’s worth investing some time in developing the right self-service strategy.

You can start with simple solutions, such as the FAQ pages on your website. Or you can develop chatbots and virtual assistants that are able to recognize human speech and respond to individual customer requests. The best self-service solutions make it easy for customers to solve their own problems without human intervention.

These tools can also make it easier for agents to provide a better level of service when a call is transferred to them. A bot or virtual agent can relay information from previous self-service interactions to an agent, so the customer doesn’t have to explain their problem again. Used properly, these tools can’t only improve customer satisfaction, but also increase business productivity.

Achieve Amazing Customer Experience

The reality is that there is no single definition of a “good customer experience. Different customers place different importance on all the above factors. However, investing in these elements should ensure that you can provide at least the level of support your customers expect.

As you continue to gather data about your audience and monitor the evolving market, you can optimize your CX strategies based on what you learn about your own customers.

Of course, it all starts with access to the right tools. Bulb Tech’s Cempresso suite is an all-in-one customer experience solution that combines all the above to give you a much-needed CX boost. Contact Bulb Tech today to learn more about how we can help you redefine amazing customer experiences.

 

For some time now, companies have been focusing more on the concept of “CX” (Customer Experience). They know that they need to provide a perfect balance of personalization, convenience, and innovation in every interaction if they want to succeed in a competitive market.

While it’s a good strategy for any company to prioritize CX, some brands have overlooked another critical experience concept in their quest to become more customer-obsessed: the employee experience.

If you want to keep your customers happy, you must first start with engaged, empowered employees. Happier team members make better agents, and better agents lead to better customer interactions. In essence, CX and EX (Employee Experience) aren’t separate initiatives – they’re two sides of the same coin.

 

What is Agent Experience?

To generate positive EX, organizations must first define what the agent experience actually is. Fortunately, this isn’t a difficult concept. The term “Agent experience” simply refers to all aspects of how your employees interact with your company.

Companies ensure a positive employee experience by prioritizing the well-being of their employees, enabling them to do their jobs effectively, and avoiding frustration as much as possible.

The factors that influence the employee experience vary from company to company.

For example, if you operate a contact center, you can ensure a positive experience by providing employees with access to quality technology, flexible work schedules, and supervisor support. In most cases, you can provide a better experience by simply listening to your employees.

 

Why is Agent Experience Important?

Happier, more satisfied, and more engaged employees ultimately lead to better results for organizations. Studies show that engaged team members are 21% more productive than their peers and also generate up to 20% more revenue than other team members. And why? Because people prefer to interact with other happy, knowledgeable people.

When we approach a customer service team and are connected to someone who is clearly exhausted, frustrated, and just itching to get their paycheck, we can tell. An employee who has had a good agent experience is more likely to be confident, well-informed, and cordial when interacting with customers.

Improving agent experience isn’t just important for CX. It directly impacts your company’s performance by determining how many employees stay with your brand. Talented employees don’t want to work at companies where they feel undervalued or burned out. In an age where people can work from anywhere, not prioritizing agent experience could mean you quickly lose your best employees to the competition.

 

The Challenge of Delivering Great Agent Experience

On the surface, creating happy agents doesn’t seem like an overly complicated concept. You simply pay attention to the needs of your employees and respond accordingly. In recent years, however, mastering the agent experience has become more difficult.

Changing work strategies such as hybrid and remote work offer new flexibility to today’s service agents, but they also bring other challenges, such as feelings of isolation and disengagement.

In addition, 70% of agents say they regularly feel overwhelmed and burned out due to the increasing demands of customer service. In today’s fast-paced service environment, only about 15% of agents are satisfied with their workload.

To make matters worse, many agents are also dissatisfied with the training and support they receive. Only 30% of agents say they feel they’re sufficiently empowered to do their jobs well. All of this shows that companies need to develop new strategies if they want to improve the agent experience and interactions with customers.

It’s not enough to simply offer employees flexible hours and good benefits. Business leaders must also pay attention to the frustrations their employees face daily.

 

How Bulb Technologies Can Help

Bulb Technologies is a leader in developing software solutions and platforms for businesses focused on digital transformation and customer experience. However, we don’t just focus on “CX”. We believe in the power of “Total Experience,” which means our platform addresses all parts of the customer experience ecosystem – including the agent experience.

We develop tools that support agents and customers at the same time, providing more assistance and guidance to both parties in the conversation. In this way, we enable companies to provide agents with a more valuable experience:

• All-in-one omnichannel tools: Switching between a variety of different apps and tools to serve today’s omnichannel customers is time-consuming and frustrating for agents. These disparate tools not only waste time but also make it difficult to retain contextual information throughout the customer journey. Our all-in-one omnichannel environments give agents access to all the information they need for personalized interactions in one convenient place, without the need for complicated interfaces or app changes.
• Implementing AI: Artificial intelligence can be an extremely powerful tool for agent experience. Our chatbots and virtual assistants act as partners to team members in your organization, helping them get more work done without having to worry about it. Virtual assistants can provide instant, useful access to information to streamline your employees’ workflow. At the same time, chatbots provide a useful way for teams to sort through potential customer service requests, so you can reduce the number of calls your employees handle each day.
• Workflow automation: Agent’s work delivers the best results when they can focus on serving and supporting customers. The last thing they want is to spend their days on boring repetitive tasks. Our workforce automation tools make it easy to eliminate the time-consuming chores that would otherwise take up your agent’s valuable time. We even have low-code and no-code solutions available which allow employees to build their own workflow from scratch. This means every employee has the power to improve their work experience.
• Simple, intuitive technology: The platforms offered by Bulb Technologies are simple, straightforward, and require minimal training to learn. They integrate with the tools your customer service representatives are already using, so they have access to all the resources they need in a single place. Users can customize their ecosystem to meet their specific needs, so every team member has all the tools they need at their fingertips.
• In-depth analytics: Informed employees are more productive and efficient. Integrated analytics and reporting tools in Bulb Technologies’ Cempresso DCS platform give your team members access to valuable insights on all metrics and KPIs relevant to their work. The comprehensive tools we offer can make it easier for employees to figure out what they need to do to continue delighting customers. At the same time, supervisors and managers can use their own analytical insights to track employee performance and engagement.

 

Build the Ultimate Agent Experience with Bulb Technologies

With our Total Experience platform, companies can create a powerful employee and customer experience in a convenient all-in-one environment. Our tools are easy to implement, deploy, and maintain, so business leaders spend less time worrying about technology and more time exploring new growth strategies.

An all-in-one environment gives any organization a unified suite to enhance their experience ecosystem with access to endless customization options and integrations. That means you’re not limited to a one-size-fits-all strategy. Find the Agent Experience solution that works best for your team and customers.

Contact Bulb Tech today to find out how we can help you improve your agent experience and engage your employees.

 

 

Customer service is undergoing a massive transformation, driven by the rising expectations and demands of the changing consumer landscape. According to Salesforce, 80% of customers believe that the experience provided by a brand is as important as its products and services. In addition, 66% of customers expect companies to automatically understand their needs and expectations.

Fortunately, companies are starting to respond to this changing landscape. We’ve seen the average “call center” evolve into a contact center designed to deliver a phenomenal customer experience across all channels.

With the aid of artificial intelligence, new technologies consolidate desktop applications, guide customer service agents through interactions, and provide insight into customer sentiment. Companies are even beginning to automate their CX strategies to help their employees and increase productivity. But even as companies struggle to keep up with the latest changes in the customer service landscape, the pace of evolution is rapid.

If you want to stay ahead of the competition, you need to know what’s coming.

What Does the Future of Customer Service Look Like?

While it’s impossible to predict exactly what the future will hold for customer service, we can use the trends uncovered in recent years to determine where CX is headed. Examining the evolving landscape and the many changes that have taken place within the service ecosystem over the past year offers us some important insights into what customers expect today.

Here are some of the trends you should prepare for as we head into 2023 and beyond.

1.    Frictionless, Omnichannel Experiences

In recent years, customers have begun to discover the benefits of communicating with companies across multiple channels and platforms. Long gone are the days when customers relied solely on phone calls to connect with brands. Today’s consumers expect you to know where they prefer to have their conversations and to be accessible on every channel.

Perhaps most importantly, as we develop omnichannel experiences for customer service of the future, every interaction should be “frictionless.” In other words: Not only do your customers want the ability to switch between channels when seeking information and support, but they also want to be able to move seamlessly from one platform to the next.

96% of consumers say they expect companies to make it as easy as possible for them to switch between channels. That means your backend environment should make it easy to move context from one channel to the next as the customer conversation evolves.

2.    Streamlined, Simple Interactions

Customer service in the new age must not only be omnichannel but also free of the usual hassles that today’s consumers are tired of. In today’s fast-paced world, customers are less willing to deal with long wait times, stressful self-service experiences, and understaffed customer service. They want you to solve these problems and provide a simple, flexible experience.

Companies need to upgrade their service strategies with tools that enable employees to get more done in less time. This means investing in solutions that automate repetitive tasks so employees can focus more on developing stronger customer relationships. It also means leveraging artificial intelligence for things like intelligent routing and virtual assistants that give employees quick access to relevant information about each customer’s needs.

Speaking of artificial intelligence, as customers look forward to an era of “predictive” and “proactive” service, it will become increasingly important to use intelligent tools that can detect and prevent problems before they occur. Eliminating potential problems before they occur can greatly improve the customer experience while freeing up the staff responsible for delivering excellent customer care.

3.    Augmented Customer Service Reps

As expectations rise and customer needs become more complex, customer service representatives are under greater pressure than ever before. In a world where most customers can find solutions to simple problems through a simple online search, many will only communicate with a customer service representative when they have a more complicated problem to solve.

Customer service representatives are facing increasingly complicated scenarios requiring further training and extended support. Fortunately, there are tools available to help these employees succeed. As mentioned earlier, automation solutions can help eliminate some of the repetitive tasks from an employee’s to-do list, allowing them to focus on the issues that really matter.

At the same time, smart solutions can provide team members with additional support when it comes to managing the increasing volume of support requests they receive each day. Smart chatbots can gather information about a customer before routing them to an agent, and even walk them through troubleshooting specific issues in advance.

4.    More Comprehensive Self-Service

According to Gartner, 70% of customers now use self-service channels at some point in their customer experience journey. However, only 9% of customers can fully complete their interaction with self-service applications alone. The main reason for this is that many old-fashioned bots and self-service tools simply don’t have the power to solve more complex customer problems.

As customers increasingly turn to self-service solutions to quickly resolve issues without human assistance, companies need to invest more time and effort into making these tools as intuitive and efficient as possible. This means they need to invest in solutions powered by AI, machine learning, and natural language processing and include automation.

The right tools should be able to intelligently respond to any customer question, using information from the company’s database and CRM solution. Modern self-service solutions should handle even complicated interactions without having to constantly refer customers to an agent, so customers can resolve issues faster and companies can make the best use of their human resources.

 

5.    Hyper-Personalization is a Must

As the future of customer service becomes increasingly digital, consumers are unwilling to trade personal, human experiences for convenience. They want every interaction tailored to their specific needs. This means companies need to do more to provide each customer with a unique interaction based on their specific needs.

Companies have already begun to focus more on hyper-personalized interactions by giving consumers more choices in how they interact with a brand. Today’s customers can request a video call if they want a representative to walk them through the steps of setting up a new system, or they can request a call back from a representative if a service representative is unavailable.

In the coming years, however, it’ll be critical to take this personalization strategy to the next level. Service workers, both human and digital, must be able to access up-to-date insights about a customer directly from embedded CRM systems and tools within their communications ecosystem. An all-in-one environment that gives employees instant access to relevant information will be critical to ensuring that the service offered is unique to each customer.

 

Transforming the Future of Customer Service

Perhaps one of the most important things that all the upcoming trends in the customer service landscape have in common is that they all point to a future where digital interactions are the norm. Companies clearly need to invest in a digital transformation strategy for their service initiatives if they want to keep pace with their customers’ demands for hyper-personalized, intelligent, and optimized service experiences.

However, simply adding new tools to your ecosystem isn’t enough to create a frictionless digital solution for customer service. Building a plan for true innovation requires a careful strategy and a platform capable of adapting to the ever-changing needs of your business.

Contact Bulb Technologies today to find out how our powerful Total Experience platform can help you empower your workforce, improve customer service, and drive self-service strategies – all at the same time, without breaking your budget.

 

Regardless of the industry you’re in, you probably already know that the customer experience is the key to success.

More than any other factor, the convenience, practicality, and speed of service you can provide your customers will determine whether they become loyal advocates or frustrated naysayers. In a world where consumers have more opportunities to share their negative thoughts about a company than ever before, one bad experience can destroy the reputation of your entire business.

Part of delivering a phenomenal customer experience is engaging your audience through the right channels. Unfortunately, there’s a lot of debate about which channels businesses should actually use. Most companies don’t have the budget or time to make sure their employees are accessible everywhere.

So, do you go for the traditional voice calls or do you invest in the new opportunities that chat offers? Let’s find out.

The Benefits of Calling over Chat

Since the 1960s, the telephone has been the primary service channel for most conversations between brands and consumers. However, that is beginning to change rapidly. Today, 75% of Millennials say they’d rather give up the ability to make a phone call than the ability to text.

Phone support has a number of weaknesses. Not only is it far from a preferred option for most consumers to call, but it’s also not particularly cost-effective. In a business environment, phone support staff can only answer one call at a time and support a single customer. That means you need more staff to handle a larger volume of contacts.

Not to mention that even with a reasonable number of employees, you may suffer from long queues and long wait times at peak times. Another problem is that phone calls aren’t always recorded and documented as well as they should be.

So why do companies still use telephones at all? It’s simple: they still have value. 95% of customers say they still want the opportunity to speak with an employee in person, even if they won’t use that option.

Phone calls also enable:

• Personal, human connections: Phone interactions capture the emotions, tone, and inflection of the speaker. This can help build a personal relationship between an agent and a customer. Also, it can pave the way for better relationships in the long run.
• Better management of complex issues: When faced with a complicated problem, most customers would prefer to call and speak directly with an agent.
• Instant responses: Although customers may have to wait on hold for a call to be answered, they can usually resolve their concerns the same day. On the other hand, it might take longer for agents to resolve chat messages completely.
• Data insights: Many phone systems allow companies to collect valuable data about customers, figuring sentiment from the tone of voice, and capturing other important details. It’s also possible to track information about call handling and quality.

The Benefits of Chat over Calling

Although the importance of making phone calls in the contact center hasn’t completely disappeared, phone calls are certainly less popular than they used to be. In fact, some studies show that businesses that use chat services are 2.8 times more likely to convert customers.

Chat comes in several varieties to suit virtually any business need. Businesses can offer asynchronous chat services during the day so employees can handle multiple questions at once, and then switch to chatbots when customers aren’t available. In particular, “asynchronous” chat has some serious advantages for brands.

Is asynchronous chat the hidden gem?

With asynchronous chat, employees don’t have to answer every question immediately. Instead, they can handle one question at a time, depending on its importance. This means that companies can ensure that the most pressing issues are addressed first. Also, with asynchronous chat, customers don’t have to wait at the end of the phone line for a call to be answered.

Customers can send a message to a team and simply get a response as soon as someone is available. This ensures that individuals can continue with other tasks while waiting for a resolution or response. Perhaps most importantly, asynchronous chat gives companies the ability to respond to the belief that businesses today should be available 24/7.

Even if an employee isn’t available to answer a message right now, a customer can still reach out, voice their concern, and put the issue in your hands. This takes some of the stress off your customer. In some cases, chatbots and AI assistants can help customers resolve their issues without waiting for an available agent.

The key benefits of chat in the contact center include:

• 24/7 Service: Companies can combine asynchronous chat with chatbots and virtual assistants to provide customers with constant answers to their questions. Customers can ask their questions immediately and then get on with their lives without having to wait for a response. They also often get answers a lot faster
• Improved employee experience: Great customer experience starts with a good employee experience. If your employees are overwhelmed and stressed by endless calls, they’re more likely to rush service, damaging the customer relationship. Asynchronous chat reduces stress levels and keeps teams happy.
• Better customer experience: With a normal phone call, a customer must wait on hold for their call to be answered, often without the opportunity to do anything else. With a chat system, they can continue their day with relative ease and simply receive a message when a representative is available. This makes life much more convenient for most customers.
• Reduced repetition: Chat is a great way to consistently log conversations between your customers and your employees. When someone picks up the chat, he doesn’t have to start from scratch and ask the customer about his problems. He can review previous messages and CRM data and gather more details before starting the conversation. This leads to faster resolutions and less repetition.
• Improved productivity: Even if a customer decides to start a customer service exchange with a chatbot, it provides useful information that your employees can pick up later. When an employee takes over the conversation, they have all the information they need to provide an appropriate response. Employees can run troubleshooting tests and find information about an issue before answering the question to get almost instant results.
• Fewer transfers: With a chat system, it’s easy to deliver customer questions and queries directly to the agent with the right skills for the task. An agent can work with another agent on the back end of the system to get answers to a question. This way customers don’t have to be passed from one agent to the next. This streamlines conversations and reduces customer frustration.
• Better rapport:  A chat system can easily store information about previous conversations with a customer in a CRM or database. Consequently, it’s easy to gain behind-the-scenes insight into each of your customers. This means that company employees can have a better experience by tailoring the conversation to the needs of the business.

 

Which is Better: Calling or Chat?

Overall, chat offers today’s customers and teams many more benefits than the average phone call system. It’s more streamlined and effective, helping to improve the customer and employee experience simultaneously. Asynchronous chat helps reduce agent frustration, strengthen customer relationships, and improve productivity.

However, that doesn’t mean calls should be ignored entirely. Rather, the best customer service is usually delivered on an omnichannel basis. While many companies start with chat as a core part of their strategy, they’ll likely still include the option of calling in case the conversation needs to be escalated. Fortunately, Cempresso Digital Customer Service makes it easy to create a workflow that works for any customer base.

Reach out to Bulb Technologies and leverage Cempresso. Cempresso makes it quick and easy to set up powerful asynchronous chat workflows, complete with access to data insights, custom integrations, and powerful AI chatbots. You can even include the option to escalate a chat into a call without losing previously collected data about customers.