As AI becomes embedded in operations, many organizations are struggling to adapt oversight mechanisms fast enough to match the technology’s pace. The legal, financial, compliance, and enterprise risk implications of AI adoption are mounting.
This webinar recording, presented in collaboration between Crowe and Saul Ewing, is specifically tailored for leaders tasked with navigating governance and accountability frameworks for AI. Presenters offer insight into the 2026 regulatory and legal landscape with a focus on key cross-border and cross-regulatory themes.
The session includes a walkthrough of a practical AI governance playbook covering ownership structures, life cycle documentation, role-based controls, data and third-party vendor risks, and ongoing human oversight. Presenters discuss a realistic maturity model to benchmark their organization’s AI governance posture and plan for next steps.
Crowe and Saul Ewing professionals close with a Q&A to help participants translate AI governance structures into measurable outcomes that enable both risk reduction and innovation.
Webinar viewers will leave with a clear framework for action, guidance on evolving responsibilities across functions, and defensible strategies for embedding AI accountability in enterprise controls.
After watching this webinar recording, you should be able to:
Note: Only attendees of the live webinar are eligible for CPE or CLE credit for qualifying webinars. If you view the webinar recording on this page you may not be eligible for CPE or CLE. For questions about CPE, contact [email protected].