AI adoption in risk and compliance functions carries specific and elevated stakes. Unlike many enterprise technology rollouts, accuracy and accountability are non-negotiable here. Errors do not just create inefficiency, they create liability, regulatory exposure, and eroded trust. That reality demands a change-management approach calibrated to the risk context, not borrowed from a generic enterprise playbook.

This session will examine what AI-specific change management looks like for risk leaders: how to address the trust deficit that precedes most deployments; how to upskill teams without disrupting operations; and how to move people from skeptics to informed participants in AI-enabled workflows. You’ll get practical frameworks, real examples, and honest conversation about what actually works.