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March 6, 2025 • 28 mins

AI is not a one-size-fits-all technology, yet it’s often treated that way in governance discussions. Boards need to distinguish rule-based automation (RPA), predictive AI, decision-making IA, and Agentic AI—each requiring a different governance model, risk approach, and oversight structure.

In this episode, we explore:
 ✅ The 3C AI Governance Model—how boards can classify AI and apply the right oversight controls.
✅ The risk of misclassifying AI systems—and why it could lead to compliance failures, reputational damage, or liability issues.
✅ Agentic AI vs. IA—the new frontier of autonomous AI decision-making and what it means for accountability in governance.

Boards don’t need to be AI experts—but they do need to ask the right questions. Tune in to learn how to future-proof AI governance and lead with clarity.

🎙 Navigating OnBoard: Your Guide to Governance Insights

To help you easily find the episodes most relevant to you, we use a simple emoji system to categorize our content. Whether you're here for technical deep dives, board strategy, or practical NED advice, this guide will help you tune into the right conversations:

💡 = Innovation & Emerging Topics → Covering AI governance, future boardroom trends, and technology disruptions.
💪 = Expanding Governance Practice → Exploring governance frameworks, board leadership, and fiduciary responsibilities.
🎯 = Practical Boardroom Skills → Tactical advice on NED positioning, leadership development, and board effectiveness.
🔥 = Critical Risks & Challenges → Addressing regulatory shifts, ESG strategy, crisis management, and corporate risk.
🎙 = Thought Leadership & Expert Insights → Featuring guest interviews and in-depth discussions on the evolving board landscape.

Every episode will include its emoji category in the title—so whether you’re looking to stay ahead of AI risks, refine your board strategy, or hear from governance experts, you’ll know exactly where to start.

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