AI in Internal Audit

A knowledge worker watching their own profession get disrupted—and documenting it.

Notes on AI, automation, and the future of knowledge professions. By Mike Broekhof.

Vision

80 / 20 — The future of internal audit

A twenty-slide argument for where internal audit is heading.

80% knowledge work 20% intelligence work

20 essays distilled into one deck View the presentation

Human Where You Must. AI Where You Can.

Organizations engage internal audit for two different reasons, and we have never had to separate them because both arrived through the same door. AI separates them. Formal assurance stays human. Advisory becomes something the business reaches in five minutes instead of six weeks.

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More Writing

OpenAI Built the Access Controls Your Organization Hasn't

· 6 min

OpenAI gated its exploit-writing model behind identity verification, scoped authorization, hardware keys, and sandboxing. That control set is the template for an audit question most functions have not scoped: who inside your walls can now reach offensive AI, and on whose authority.

The Audit That Knows Your Organization

· 8 min

A chip company published how it built an internal knowledge base that now fields 15,000 questions a day. Read past the infrastructure and it is the audit planning phase, rebuilt as a standing asset instead of something we throw away at the end of every engagement.

Nearly Half of Finance Leaders Can't Confidently Explain Their Agents to You

· 7 min

A survey of more than 1,500 finance leaders this month found 44% are only somewhat confident they could explain an AI agent's action to an auditor, and only 7% put governance ahead of speed. That gap is not neglect. It is a rational response to incentives, and that changes how you audit it.

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About

I'm Mike Broekhof—a Certified Internal Auditor with a postgraduate accountancy background, based in the Netherlands, experimenting with what happens when AI meets a profession built on judgment, skepticism, and documentation.

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What I'm Building

Automated audit workflows, continuous control monitoring agents, and AI governance frameworks. The goal isn't to replace auditors—it's to understand what parts of the profession can be automated.

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