New guide: assessing organisational readiness for Microsoft 365 Copilot. Read the guide

Microsoft Copilot and AI

AI Governance

Decision forums, approval gates, model inventory and assurance reporting for AI capability at scale.

Technologies

  • Microsoft Purview
  • Power Platform
  • Microsoft Entra ID
  • Azure AI Foundry

Once several AI capabilities exist, governance becomes a portfolio question: what is running, who owns it, what data it touches and how quality is assured.

Business outcomes

Portfolio visibility

A maintained inventory of what is running and who owns it.

Consistent approval

One route to approve or stop a scenario.

Assurance evidence

Reporting that satisfies internal audit without a scramble.

Capabilities

Governance operating model

Forum, membership, cadence and decision rights.

Model and agent inventory

What exists, its purpose, data sources and owner.

Approval gates

Defined checkpoints proportionate to assessed risk.

Assurance reporting

Periodic evidence of control operation.

How we deliver it

  1. Assess

    Evaluate data readiness, permissions, licensing and candidate scenarios against value and feasibility.

  2. Prepare

    Curate content, review permissions, assign ownership and establish the governance position.

  3. Pilot

    Build and evaluate with a cohort whose daily work matches the scenarios, measured against a baseline.

  4. Scale

    Extend to further scenarios with champions, enablement and a standing content backlog.

  5. Operate

    Monitor quality, review gaps weekly and maintain grounding sources on a fixed cadence.

Next step

Considering AI Governance?

We will give you an honest view of the effort involved, the prerequisites and the risks, before anyone signs anything.

Talk to an expert Solutions