Supercharge your tech stack with an integrated AI Agent

Use cases for an integrated AI Agent

Now that we’ve seen how you can integrate your AI Agent with your tech stack, let’s take a deeper look into the different use cases of an integrated AI Agent. There is of course an unlimited number of ways you can use an integrated AI Agent, but we are going to highlight the most useful cases.

Customer service

The most obvious department to utilise the power of an AI Agent is of course the customer service department. Overwhelmed with questions from customers, your customer service colleagues often find themselves lacking the time to help every customer adequately. Time for your AI Agent to step in!

Earlier we looked at the example of your AI Agent answering questions about order statuses by asking customers for their order number and automatically looking up the necessary data in the correct system. This is an excellent example of an integrated AI Agent in action.

But what if your service goes beyond order statuses? What if a customer wants to return a product? Here your AI Agent can again ask for all the information it needs; order number, product details, reasons for returning, etcetera. Your AI Agent can then use this information to process the return request in the corresponding system and confirm with the customer that their request has been submitted and instruct them on how to proceed. Another great example of cross-system automation, without any human interference!

Lead generation

If you think your AI Agent is a customer service superstar, don’t be too surprised to find out it has some serious Sales talent as well. Marketing teams everywhere are constantly finding new and creative ways to get potential leads through their funnels and to their conversion points. But more often than not, you find your precious leads lingering there without taking the right actions. We can do better than that!

By actively guiding your leads towards conversations with your AI Agent, you already increase the chances of conversions without pushing too hard towards a call to action. If your AI Agent can then ask the right questions and provide the right information, you can easily warm up your leads to the point of converting. And that’s when your integrations come into their own.

Of course your AI Agent can ask leads for their contact details and have your Sales team do their follow up, but that takes extra time and every minute you wait, your leads get colder. So while your AI Agent is already working them into the hot zone, why not go that one step further and actually have your AI Agent convert them for you?

Instead of asking for contact information (which is an unnecessary barrier by itself), your AI Agent can immediately schedule an appointment with one of your Sales colleagues, directly in their calendar, whilst simultaneously updating your CRM system with valuable data. By eliminating unnecessary steps and letting your AI Agent take quick cross-platform actions, you don’t give your leads the time to cool down and your Sales team can get to work with their new potential customers.