Perspectives
The work is about the decisions boards, executives, and governance leaders face when regulation, technology, incidents, and accountability collide.
- Why Boards Need to Rehearse AI Governance Decisions Board papers can show that AI governance exists. Rehearsal shows whether management can make, challenge and evidence an AI decision before the organisation is already committed.August 2026
- Fraud AI Creates Governance Clashes That Do Not Resolve Cleanly Fraud AI creates real clashes between control uplift, AML expectations, privacy limits and legal constraints. Governance has to draw the boundary.July 2026
- Privacy Training Does Not Work If the Right People Are Not in the Room Privacy training can improve knowledge without building the judgement people need to shape a consequential decision together.July 2026
- Fraud Detection Is Where AI Meets the Limits of Privacy Law Fraud detection is a strong AI use case, but broader monitoring and inference quickly test purpose, proportionality and privacy-law limits.July 2026
- Scrutiny Is Not Accountability Independent challenge matters, but it cannot make the business own a privacy, data or AI decision it was never required to make properly.July 2026
- Compliance Automation Is Not a Starting Point Compliance automation only works when the data, evidence and ownership foundations are mature enough to support the assurance it produces.July 2026