Choosing the wrong AI agent use cases can stall adoption and erode confidence fast. This guide shows CX leaders how to identify high-impact customer service use cases using real interaction data. So, you can launch faster, prove value early, and build a scalable automation roadmap that reduces labor costs without compromising customer satisfaction.
Finding the right AI agent use cases for customer service
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Finding the right AI agent use cases for customer service
Figuring out how to get started with a generative AI agent might seem like a daunting task. But it doesn’t have to be. Ensuring a successful deployment depends on choosing the best use cases to target first. We make it simple with a reliable, data-driven approach to identify interaction types with high automation potential.

What you'll learn
How to choose which use cases to target
Why you don’t have to overhaul your knowledge base to get started
How to prioritize additional use cases for future expansion
How to choose which use cases to target
Why you don’t have to overhaul your knowledge base to get started
How to prioritize additional use cases for future expansion
What to consider when including a human in the loop
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Finding the right AI agent use cases for customer service
Choosing the wrong AI agent use cases can stall adoption and erode confidence fast. This guide shows CX leaders how to identify high-impact customer service use cases using real interaction data. So, you can launch faster, prove value early, and build a scalable automation roadmap that reduces labor costs without compromising customer satisfaction.





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