← All seriesAgent Governance · 4-part journey · 40 min
4 parts
Governance is the enabler, not the brake
Govern AI agents without becoming the department that says no. It starts with the principle: match the control to the risk, and contain experiments rather than hunting them down afterwards. Then the gap — the Power Platform governance you already have stops where your agents start. Then a three-zone model that gives every agent somewhere to live and a clear path to grow. And finally the decision process: score agents at intake, pre-approve the obvious cases, and save human judgement for the ones that need it.
- 1Governance is an enablement ladder, not a locked doorIf your AI governance can only say no, people will stop asking. That is the part we keep underestimating. Most makers are not trying to create risk. T…
- 2Your Power Platform governance stops where your agents startYou may already have a default environment strategy. You may already have DLP (data loss prevention) policies. You may have Managed Environments, shar…
- 3Your agent needs a zoneBefore you decide what an agent can do, decide where it is allowed to live. Sounds boring, I know. But when you let people build agents you create a p…
- 4Automate the boring decisions. Keep the hard ones human.Manual review feels safe until every useful idea is waiting for the same meeting. It isn't that the organisation doesn't care — the process just treat…