Confidence in Every Conversation: How Leading Enterprises Validate AI Agents Against Real Customer Behavior
Most companies build customer personas from surveys, CRM records, support tickets, and periodic workshops. Sources that are siloed, incomplete, and quickly out of date.
By the time you dust them off for AI Agent testing, they reflect how teams think customers behave, not how they actually do.
AI Agents don't fail on the happy path. They fail on the customers you didn't see coming.
Join this session to see how to use your own conversation data to build and validate AI Agents with confidence:
- Generate realistic, representative customer personas from your own conversation data, grounded in real language, behavior patterns, and traffic volume, so your testing reflects how your customers actually show up
- Use those personas to simulate real-world conversations and pressure-test AI Agents against the frustration, topic-shifting, and unpredictability that show up in production
- Deploy with confidence by turning requirements into trusted evaluators, auto-generating test cases from real conversations and production signals, and validating every update before it reaches a customer
The data you need to confidently build and deploy AI Agents is already in your conversations. Join us on June 30 to see how to use it.
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