Every big innovation starts with an idea. But ideas alone aren’t enough—they need direction, validation, and a solid plan to turn them into something impactful. If you’re at the stage where you’re excited about LLMs but not sure what idea to chase, how to sell it internally, or how to prove it can work, you’re not alone. In this session, you’ll hear directly from the team at Drata on how they started their AI journey, focusing on choosing the right tools and strategies to quickly validate and bring their ideas to life.

Now that you’ve built the v1 of your AI system, it’s time to evaluate how reliably it can run — across many test cases. Session II will focus on the strategies, metrics and goals you should set to prepare your system for production. Join us for an in-depth look at how Redfin successfully developed their AI-powered virtual assistant, Ask Redfin, using a test-driven development approach.

Building upon the foundations laid in Sessions I and II, this final session will equip you with the strategies and framework needed to seamlessly transition your LLM applications from prototype to production.