S5E1: When AI manages risk, who manages the AI?

Autonomous IRM is moving from the lab into the core of enterprise risk, compliance, and security and the stakes couldn’t be higher. When a self-learning agent flags threats, scores claims, or polices policy violations, who is accountable, how do we intervene, and what proof can we show regulators and customers? We unpack the three frameworks shaping credible answers: ISO/IEC 42001 as a certifiable management system that embeds AI governance into everyday processes, the EU AI Act as hard law with high‑risk tiers and eye‑watering fines, and the NIST AI Risk Management Framework as a practical playbook for building trustworthy systems.

We start with the boardroom view: why ISO 42001 pays off in demonstrable maturity, how the EU AI Act elevates AI to enterprise risk with penalties up to seven percent of global turnover, and where NIST establishes a common language (fairness, transparency, security, and accountability) that unites legal, risk, and engineering. Then we translate strategy into execution. You’ll hear how to build an AI Management System on PDCA, run gap assessments for high‑risk use cases, design human-in/on‑the‑loop oversight, and stand up continuous monitoring, logging, and post‑market incident reporting. We also break down NIST’s Govern‑Map‑Measure‑Manage flow so teams can pilot on a few use cases, validate bias and robustness, and scale with confidence.

Finally, we tackle the accountability puzzle of autonomous agents. ISO demands end‑to‑end auditability and explainability across the lifecycle. The EU AI Act limits unchecked autonomy, mandates human oversight, and bans dangerous applications like social scoring and manipulative systems. NIST frames the agent as a socio‑technical system that needs named owners, security guardrails, bias evaluation, and contingency plans. Through scenarios (cyber threat detection in banking, fraud triage in insurance, and an autonomous IRM assistant) we show how to layer the frameworks: law sets the what, ISO and NIST deliver the how.

If you’re a leader or operator wrestling with when to certify, where to place the human, and how to future‑proof global deployments, this conversation gives you a clear path forward. Subscribe, share with your risk and engineering teams, and leave a review with the one governance action you’re committing to this quarter.


Podcast Episode Chapters

0:46 - Framing Autonomous IRM

2:37 - Why ISO 42001 Matters Strategically

3:57 - The EU AI Act’s Non‑Negotiables

5:09 - NIST RMF as Practical Benchmark

6:18- Turning Strategy into Operations

7:32 - Preparing for EU High‑Risk Systems

8:50 - NIST’s Govern‑Map‑Measure‑Manage

11:23 - Governing Autonomous Agents

12:47 - Three Real‑World Governance Scenarios

16:38 - Executive Takeaways and Open Questions


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Please contact us directly at info@wheelhouseadvisors.com or feel free to connect with us on LinkedIn and X.com.

Visit www.therisktechjournal.com to learn more about the topics discussed in today's episode.

Wheelhouse Advisors

Wheelhouse Advisors, headquartered in Atlanta, Georgia, is a premier risk management advisory firm established in 2008. We specialize in regulatory compliance, enterprise, operational, and technology risk, delivering data-driven insights and industry-leading practices to help clients manage risks effectively. Our comprehensive approach empowers clients to drive sustainable growth and maintain resilience in a dynamic risk landscape.

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S4E11: Behind Boardroom Doors - The New Era of UK Corporate Transparency