AI risk has arrived in the boardroom. The boards that govern AI well treat it as a strategic and operational risk simultaneously — and demand the inventory, the assurance, and the reporting that make oversight possible.
What boards should ask for.
An AI inventory with risk classifications.
A quarterly AI risk dashboard covering performance, drift, incidents, compliance.
An assurance plan with internal audit and external assurance cadence.
A clear risk appetite statement on AI use cases.
A named accountable executive for AI risk.
How Kanz.ai supports boards.
We design board-level AI governance, design and run the reporting layer, and provide independent advisory on AI risk and assurance for boards and audit committees.
Frequently asked questions.
Should AI sit on the audit committee or the risk committee?
Most large enterprises now have a dedicated AI risk sub-committee, with a reporting line to the board risk committee.
How much board time does AI need?
At least one full agenda item per quarter, plus an annual strategic review.
Should the board approve high-risk AI use cases?
Yes — at least the highest tier. Otherwise the accountability chain breaks at the executive layer.
How does Kanz.ai work with boards?
Through independent advisory, governance design, board education sessions, and external assurance support.
Design the AI capability your board will actually approve.
Talk to Kanz.ai about a structured engagement — strategy, readiness, governance, or implementation — tailored to enterprises in Dubai, the UAE, and the GCC.
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