As AI agents become more capable, regulated industries face a unique challenge: how do you unlock the benefits of autonomous systems without compromising security, compliance, or governance? This panel brings together leaders deploying AI in sectors such as finance, healthcare, government, and insurance to discuss what it takes to build production-ready agents in highly regulated environments. From data privacy and model governance to human oversight, auditability, and evolving regulation, hear practical lessons on balancing innovation with risk while delivering AI systems that organizations and regulators can trust.

AI strategy should start with the value we want to create, not with the technology. This talk shows how that value has moved over a decade, from 2021 to 2031. It started with helping individuals finish tasks faster, and it is moving toward reliable workflows, redesigned operations and new kinds of business. Most organizations now use AI, but few have turned it into dependable business results. We close with a practical approach: break work into tasks, define how each initiative will be measured, and build a portfolio of bets that we scale, revise or stop based on evidence.