A webinar companion to the white paper from Core Solutions and OPEN MINDS
Behavioral health organizations are adopting AI faster than they are governing it — and the consequences are showing up in clinical documentation, compliance exposure, and eroding clinician trust.
This webinar draws on the findings of Beyond Ambient, a new white paper from Core Solutions developed in partnership with OPEN MINDS and the Core Solutions AI Advisory Board. It translates the paper’s governance framework into practical guidance for behavioral health executives who are already using AI — or deciding whether to.
The session will examine what distinguishes those organizations that are getting real value from AI from those accumulating tools without outcomes. Attendees will leave with a framework for building and governing ethically-built AI — one that asks better questions before the next contract is signed, and gives leaders a clearer picture of how to measure whether the tools already in use are actually supporting clinical care.
In this webinar, you will learn:
- How to structure an AI governance committee with real decision authority — including who needs to be at the table from day one, and why frontline and lived-experience voices are the seat most often cut and the most consequential.
- How to assess your organization’s readiness to adopt AI — including the clinical, operational, cultural, and compliance dimensions that determine whether an implementation is likely to succeed or stall, and the questions leaders must answer before signing a contract or standing up a pilot.
- How to apply a 90-day pilot model to evaluate AI tools before committing to scale — including how to define success criteria upfront, what clinical and operational metrics to track during the pilot window, and how to make a disciplined go/no-go decision based on the data.
This session is designed for C-suite and senior leaders at behavioral health organizations — CEOs, CMOs, COOs, CFOs, compliance officers, and clinical directors — who are making or overseeing AI adoption decisions. It is equally relevant for leaders who have already deployed AI tools and those approaching their first implementation.
