The Product, Engineering and Design division in FreeAgent has been testing the following hypothesis: “We believe that by adopting agentic tooling across our team, we will ship customer value features with more confidence, at a faster rate, without compromising on the quality level that continues to differentiate our product experience.” This talk will explain how people across P&E, from execs to engineers were aligned towards testing this hypothesis, the experimentation frameworks used, the challenges faced throughout and how we plan to move forward. Attendee Takeaways - How Product can solve the problem using the three layers of AI capability: Ways of working (in the - Product Development Life Cycle), Tool usage, Tool capability and Data integration - A model for rapid test-and-learn - A model for measuring results of AI