Decagon

The rise of agentic AI is reshaping customer experience – but for most enterprise teams, the space still feels chaotic, overhyped, and hard to navigate. Join Thatcher Foster, VP of Client Solutions at Bilt Rewards, and Max Lowenthal, Agent Product Manager at [Decagon](https://decagon.ai/), for a candid conversation on Bilt's experience evaluating AI agents for real-world customer support.

We’ll explore:

*   **Why now**: Dive into what separates best-in-class agentic AI solutions from legacy chatbot software and most of today’s AI-native offerings.
*   **How to buy**: Walk through a five step checklist for evaluating [AI agents](https://decagon.ai/product/aop) – from response accuracy and tone to security, compliance, and integration requirements.
*   **Implementation**: How to deploy AI that [understands and adapts](https://decagon.ai/resources/why-we-built-aop) to your workflows — then elevates them.
*   **Measuring ROI**: Discover what *great* looks like with real examples from Bilt.

If you're a CX, product, operations, or engineering leader interested in shaping the future of customer experience, you won't want to miss this conversation. You'll walk away with a practical, vendor-agnostic framework for evaluating AI agent solutions — and insights from teams already putting them to work.

[Learn more about Decagon here.](https://na2.hubs.ly/y07TGX0)
