AI Governance

Microsoft Purview's DSPM for AI gives you something most agencies lack: visibility of how AI is already being used across the tenant and where oversharing would surface the wrong information. We deploy it, tune it and turn its findings into a prioritised remediation plan.

Oversharing is the real Copilot risk. An assistant is only as safe as the permissions beneath it, so we audit sharing links, site permissions and stale access before any AI sees your content.

Sensitivity labels, DLP policies and access governance are the difference between AI that leaks and AI that helps. We build or repair these foundations so protection travels with the information, into prompts, drafts and agent outputs.

The same work pays for itself beyond AI: a labelled, governed tenant is easier to secure, audit and eventually assess, whatever the next framework asks of it.

The Commonwealth's policy for responsible use of AI in government expects agencies to know where AI is used, who is accountable and how it is monitored. We draft usage policies that satisfy that expectation while staying practical enough for people to follow, and we stand up the registers and review cadence behind them.

Then we make the investment pay: governed Copilot and agent rollouts with defined use cases, guardrails switched on from day one, and outcomes reporting so executives can see value rather than licence spend. Governance first is what makes fast adoption possible.