Agents Don’t Ask Twice:
Why Data Trust Is Now a Business Imperative
This probably sounds familiar: The board wants big AI results yesterday, but risk, legal, and data teams are raising red flags on things they can’t even fully articulate.
Most AI failures aren’t actually model failures. They are data failures.
And data trust, the thing that prevents them, isn’t new. We’ve always needed it to run the business.
What’s new is the speed. A human analyst pauses when a number looks off, but an AI agent doesn’t ask twice. It runs with whatever you give it and hands back a clean, confident answer that no one can trace.
This isn’t a new playbook, just the next chapter.
In this session, you and 15 other senior data leaders will:
- Unpack the unwritten “ship vs. block” rules everyone is using behind closed doors.
- Stress-test what actually makes a dataset “AI-ready” before an agent gets to use it.
- Collaborate on a repeatable, trusted process to certify data as “AI-ready”.
How it works
- Request your invitation. We review every request to keep the room small and senior.
- Once approved, you’ll receive a confirmation email and a calendar hold with the date, time, and Zoom meeting link.
- Join us on Wednesday, August 26 at 1:00 PM ET for a candid, off-the-record discussion with your peers.
Host
Your host and facilitator for this session is Larry Hunt, Field CDO at Ataccama. With more than 25 years in senior data leadership, Larry has spent his career turning data into a competitive advantage. Before Ataccama, he held executive roles at Bank of America and Wells Fargo, leading large-scale data modernization, governance, and regulatory programs across finance, risk, and operations. Today he helps Ataccama’s customers do the same.