Future-Proofing Your Organization with Smart AI Governance Presented by Landon Tooke
Presented to HBMA's 2026 Innovation Conference held March 9th-11th, 2026.
Presentation awards 1 CEU.
AI governance is no longer theoretical. Regulators, standards bodies, and industry alliances are regularly publishing frameworks designed to guide risk management and responsible AI deployment. This session provides an executive deep-dive into leading frameworks and off ers a pragmatic method for building or upgrading an AI governance platform. Attendees will learn how to tailor these high-level frameworks for sector-specific compliance, audit readiness, and operational resilience. The session will feature practical tools for integrating AI governance into existing compliance programs and measuring program maturity.
Course Participants will be able to:
- Identify widely accepted AI governance frameworks shaping responsible AI adoption and risk management.
- Tailor high-level AI governance frameworks to meet sector-specific compliance, audit, and operational requirements.
- Integrate practical AI governance tools into existing compliance programs for enhanced oversight and maturity measurement.
- Promote organizational readiness by applying governance strategies that support compliance, resilience, and continuous improvement in AI initiatives.