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The Board Doesn’t Know Who to Ask: A Unified Reporting Model for Cross-Functional Agentic AI Risk

As organizations give AI agents greater authority to make decisions, execute transactions, access data, and interact across systems, traditional governance structures can leave boards without a clear view of who is accountable. This white paper introduces the Agentic Risk Reporting Spine (ARRS), a unified framework connecting business purpose, delegated authority, controls, human oversight, observed behavior, business impact, and assurance. It also outlines an Agent Mandate, autonomy levels, cross-functional risk taxonomy, board metrics, escalation procedures, and a four-view reporting model to help organizations establish accountability, manage systemic risk, and scale agentic AI with stronger oversight.

The Board Doesn’t Know Who to Ask: A Unified Reporting Model for Cross-Functional Agentic AI Risk
Format:
  • White Paper
Topics:
Author(s):
  • Alok Ranjan Shur
Published:August 12, 2026
License:Copyrighted
Copyright:© Alok Ranjan Shur, 2026. All rights reserved.
Tags:AI governanceartificial intelligence (AI)digital transformationrisk managementtechnology
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