AI governance / Buyer intelligence
Start with the sentence that sounds most like your situation. We will show you what it means, what to check and where to go next.
No AI governance experience neededChoose your starting point
You can start anywhere. Pick the statement that feels closest to your problem.
Your next step · Discover
First find every AI system and agent already in use.
You cannot assign owners, apply rules or compare platforms until you know what exists—including tools people use without approval.
Start with visibilityKnown systems, shadow AI and autonomous agents.Your next step · Assign
Make it clear who decides, who operates and who answers for the result.
Then connect each system to the data, tools and actions it can reach. This shows where permissions and approvals must sit.
Make authority visibleOwners, permissions and approval boundaries.Your next step · Translate
For every rule, define what happens, who acts and what evidence is saved.
This turns broad policy language into controls that people and platforms can actually apply, test and improve.
Translate expectationsFrom policy language to controls that can be tested.Your next step · Choose
Choose according to the control outcome you need—not the longest feature list.
Visibility, runtime enforcement, evidence and agent security are different needs. Your shortlist should reflect which problem matters most.
Compare by outcomeMatch capabilities to the control problem.Your next step · Prove
Keep the chain from the risk you found to the result you verified.
Good evidence shows what happened, who decided, what action was taken and whether the risk was actually reduced.
Retain defensible proofRisk, decision, action and verified outcome.Latest insights
Articles connect policy, operating models and product capabilities to the decisions enterprise buyers actually need to make.
Discovery & inventoryHow to distinguish a declared register from continuous discovery—and turn visibility into a usable control surface.
Agent securityA practical review of identity, delegated authority, tool access and approval boundaries.
Runtime governanceWhat separates dashboards and alerts from controls that can constrain, escalate or stop risky actions.
Operating modelSeparate business accountability, technical operation and control ownership without creating a governance maze.
Buyer guideWrite requirements around decisions, control points and evidence instead of an undifferentiated feature list.
Evidence & assuranceMeasure coverage, control effectiveness and verified remediation—not activity for its own sake.
How we work
We prioritise primary sources, distinguish verified capabilities from supplier claims, and turn governance language into practical buying questions. AI Control Map is a market-screening resource, not a legal opinion or supplier endorsement.