Description
Presented by OnBoard.
Directors are adopting AI faster than their boards learn how to govern it. That leaves the people who carry the duty of care relying on consumer tools for the most sensitive material they touch. The boards that close that gap, with written policy and governance-grade AI, rate themselves dramatically more effective.
There is a quieter cost, too. When each director preps in their own ChatGPT or Copilot account, every one of them uploads different documents, keeps different context, and ends up working from a different version of reality. The board splinters into a dozen private workflows.
This ATLAS Leadership webinar brings together OnBoard CTO Robin Fleming and security advisor Rick Doten. They will get specific about what should never go into a public model, how to tell whether your board’s information is even ready for AI, and who answers when AI gets something wrong. Our speakers will also discuss some of the findings from OnBoard’s 2026 Board Effectiveness Survey. You will leave with clear, practical, actionable takeaways grounded in real experience.
What you’ll take away:
The board information that should never touch a public AI tool, and how to spot it before a director pastes it in.
Rick Doten's three-layer test for whether your board's data is in good enough shape for AI to give you answers you can trust.
The AI maturity ladder: how to see where your board sits today, from no policy, to a written one, to governance-grade AI that enforces it by design.
A practical line on accountability: what AI can take off a director's plate, and what stays a human's responsibility no matter what.