What Ways is Generative AI Being Used in Contact Centers?

The use of artificial intelligence (AI) in contact centers has been a recent hot topic in the industry, and it isn’t going to die down anytime soon. In fact, as generative AI has differentiated itself from traditional AI by providing accurate sentiment analysis, enhanced creativity and more personalized conversations with customers, contact centers must consider how they can most effectively use this tool in their operations.

Generative AI relies on large language models (LLMs) to learn and improve, which means not only is the technology becoming increasingly proactive, but it is also becoming even more valuable for call centers. Its growing ability to understand human emotion (and even express empathy) broadens its use cases in the call center, extending from simple frequently asked questions (FAQs) to upselling and beyond.

What exactly does the rise in generative AI mean for contact centers? For starters, it helps take the load off agents’ shoulders, thereby boosting productivity. But that’s not all – it also positively impacts customers as they are able to self-serve in a more efficient, proactive and personalized way. In short, if it’s implemented correctly, generative AI is a win-win situation for agents, consumers and contact centers.

But how exactly can call centers navigate the challenges of integrating contact center generative AI into their operations?

Generative AI in contact centers

When it comes to implementing generative AI into your daily operations, it is important to first determine which generative AI use cases for contact centers will be most applicable to you. Are you wanting to streamline your after-call work, simplify order processing and appointment scheduling, improve agent training or all of the above? Narrowing down which goals you are trying to achieve with the use of contact center generative AI will help you achieve success. 

Your contact center software provider should be a great resource not only when it comes to helping you decide how generative AI will best be used in your business, but also when it comes to the actual implementation process.

For example, TCN has a strategy set in place to empower its clients to leverage AI to achieve unprecedented levels of efficiency, compliance and customer satisfaction. Plus, it also excels at simplifying implementation so that AI is accessible for all businesses. 

Generative AI use cases for call centers

Let’s explore some of the most popular (and useful) ways you could utilize contact center generative AI within your organization:

• Troubleshooting: Thanks to generative AI’s ability to decipher what problem a customer is facing based on simple information (such as a photo), it can excel at providing troubleshooting assistance to clients. This can be valuable for contact centers in a variety of industries, whether customers typically call in for help with billing, technology problems or anything in between.
• Specialized knowledge: Because generative AI can be deeply knowledgeable in a variety of areas, it can save contact centers money in terms of agent training and productivity. 
• Agent augmentation: Don’t worry, contact center generative AI isn’t here to completely replace the need for the human touch – but it is here to make your agents’ jobs much easier and more efficient. For instance, generative AI can assist agents with tasks in real time in addition to taking menial tasks off their plates. 

We’re only scratching the surface of all the ways generative AI could be an asset in your organization. Whether your goals include bolstering your customer satisfaction or getting a clearer picture with more accurate analytics, this new technology can contribute to the success of your business.

Generative AI chatbot challenges for contact centers

Of course, utilizing generative AI in your contact center does not come without its challenges. However, being prepared to face them can help you be proactive. 

Perhaps one of the most prominent difficulties when it comes to generative AI in the contact center is learning how to strike the delicate balance between helping agents work in tandem with AI without losing the human touch. 

To defend your contact center against this difficulty, be sure to utilize training programs that ensure agents are aware of how to appropriately utilize contact center generative AI and their own emotional intelligence.

Additionally, ensuring real-time quality monitoring (and plans for how to implement needed corrections) are in place is another great way to make your transition to more fully utilizing generative AI go more smoothly. 

Bringing generative AI into your contact center with TCN

If you’re looking to stay competitive and effectively implement generative AI in contact centers, TCN is here to help. Not only do we help you reap the benefits of the technology, such as optimized efficiency, without worrying about the technicalities, but we also have a range of AI-enhanced products to choose from.

Learn more about how TCN should be your contact center software platform of choice – especially when it comes to AI-powered solutions.