Scaling AI with Context, Control and Confidence

About this session

Putting AI into production exposes a different class of problems than most teams expect. Changing data, evolving workflows, and expanding use cases introduce failure modes that don’t appear in demos. This talk explores where production AI breaks down and offers a practical framework for preserving context, control, and confidence as systems evolve.