Posts
All the articles I've posted.
The AI Middle Office: How Agents Will Rewire Approvals, Reporting, and Controls
Published: at 12:00 AMAgentic AI is creating a new middle-office layer across finance, procurement, HR, risk, and operations. The winners will use agents to prepare decisions, route exceptions, compile reports, and generate audit evidence without surrendering control.
The Board AI Risk Report: What Directors Will Expect from CIOs in 2026
Published: at 12:00 AMBoards no longer need generic AI updates. In 2026, CIOs need a board-ready AI risk report that shows material use cases, incidents, model changes, third-party dependencies, data exposure, ROI, and unresolved exceptions.
From Model Cards to Runtime Governance: Operationalizing AI Risk Management for Production Agentic Systems
Published: at 12:00 AMModel cards and static documentation are no longer enough for production agentic systems. CIOs need runtime governance: live monitoring, drift detection, permission boundaries, rollback paths, and audit evidence that proves controls worked.