AI governance is not a point-in-time project. It is an ongoing function that needs to keep pace with adoption, monitor new risk, review incoming use cases, and report to leadership as AI scales. The Managed AI Governance Office provides that function — externally, on a recurring monthly basis.
Each month: use-case intake review, risk register update, AI system inventory maintenance, and governance reporting. New AI tools and use cases are reviewed against the governance framework before adoption — not after risk has already entered the organisation.
Each quarter: a board-ready AI governance report covering AI programme status, risk register summary, governance health indicators, and any matters requiring board decision or attention. Governance that does not reach the board is not governance.
On a rolling basis, we monitor regulatory and standards developments and recommend policy updates when the governance framework needs to reflect new requirements. AI governance frameworks built once and never maintained decay within months.
A Managed AI Governance Office (MAIGO) is an ongoing, externally-delivered governance function that provides the oversight, monitoring, reporting, and policy maintenance your AI programme needs — on a recurring basis, without requiring you to build and staff a full internal governance team.
A one-time governance engagement builds the framework — policy, accountability structures, risk register, and reporting. The Managed AI Governance Office maintains that framework over time: monitoring new AI use, updating the risk register, reviewing use-case intake, and ensuring board reporting stays current as adoption evolves.
Designed to be minimal. A monthly check-in with the relevant internal owner, a quarterly board reporting session, and ad-hoc escalation support are the typical internal time requirements. The governance work is done externally.