Are you tired of test automation that breaks every time a developer changes a button ID? For years, we've built armies of "dumb robots", brittle scripts that are fast but blind, requiring constant maintenance and failing on the smallest, most insignificant UI change. They can follow a path, but they have zero understanding of the business rules they are meant to enforce. What if we could build something better?

What if your AI test agent could read the project requirements, the policy documents, and the user acceptance criteria... and then decide for itself what to test?

Welcome to the next revolution in software testing. In this session, we're building a truly autonomous agent that moves beyond just following orders to understanding intent. Using the full power of the Microsoft Azure stack, we'll give our agent the ability to "think" and a long-term "memory". We will implement the crucial Retrieval-Augmented Generation (RAG) pattern, transforming your scattered internal documents into a centralized, queryable knowledge base.

Join us for a live, code-first demonstration where you will see this agent:

Learn: Ingest a real-world policy document and understand its specific business rules, such as spending limits and eligibility criteria.
Strategize: Autonomously devise a multi-step test plan designed to validate those rules, including positive, negative, and edge-case scenarios.
Act: Execute the generated plan using .NET and Playwright, taking control of a live web application to hunt for bugs.
Discover: Successfully identify a critical business logic bug that traditional, "blind" automation would have completely missed.

This isn't just another talk about the "what-ifs" of AI. This is a practical, hands-on blueprint for the future of automation testing. We'll cover the crucial "last mile" with a production-readiness checklist.
You will leave not just with inspiration, but with a GitHub repository containing the complete solution and a new mental model for building intelligent systems that can reason, act, and add real value to your development lifecycle.