Managed AI Governance Office — Ongoing AI Governance — Strategen AI
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.
Monthly Governance Cycle
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.
Quarterly Board Reporting
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.
Policy and Framework Maintenance
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.
What you receive (monthly)
Monthly use-case intake review — new AI tools and applications assessed before adoption
Risk register update with current risk status and any new flags
AI system inventory maintenance
Quarterly board-ready AI governance report
Policy and framework update recommendations as regulation evolves
Incident escalation support when something goes wrong
The APIG method on this engagement
The Managed AI Governance Office monitors all four APIG dimensions on a recurring basis — ensuring the governance function keeps pace with adoption across actors, practices, infrastructure, and governance obligations.
Actors: Tracking which teams, roles, and vendors are using AI, and ensuring accountability remains clear as the AI landscape changes
Practices: Monitoring how AI use is actually evolving in operations — not just what was approved, but what is happening
Infrastructure: Reviewing new tools, integrations, and vendor relationships as they enter the organisation
Governance: Maintaining the policy framework, risk register, and board reporting to reflect the current state of AI adoption and risk
Frequently Asked Questions
What is a Managed AI Governance Office?
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.
How is this different from a one-time governance engagement?
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.
How much of our team's time does this require?
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.