START WITH OWNERSHIP
Turn an AI conversation into a clear control plan.
AI governance needs more than a list of tools. It needs an accountable owner for each agent, a reason for its access and a process for reviewing what it does. The review focuses on a defined part of your environment so the findings can lead to decisions your team can act on.
What the review is designed to produce
Confirm the evidence available and the exact outputs during scoping. The proposed review brings the selected agents into one working record.
01
Agent ownership map
A record of the agents in scope, their purpose, their business owners and the people responsible for technical decisions.
02
Access and data map
A view of the identities, permissions, connectors and data locations that need attention.
03
Prioritised findings
A risk register that distinguishes immediate control gaps from decisions that require more evidence.
04
Practical next steps
A proposed control plan with responsibilities and a route into separately agreed implementation or adoption work.
Coverage depends on the agreed scope, platform support and the evidence you authorise us to review. Changes to live access or policies are agreed separately.
A clear route from discovery to action
01
Agree the scope
Identify the business use case, the agents to include, the stakeholders and the authorised evidence.
02
Review the controls
Work through ownership, access, data use, approval points and lifecycle responsibilities.
03
Decide what changes
Review the findings together and agree priorities, decision owners and the next piece of work.
A useful starting point when AI is moving faster than the rules.
01
Agents are entering everyday work
Teams are building or introducing agents, but the business does not yet share one view of ownership and purpose.
02
Access needs a closer look
You need to understand which identities, connectors and data sources support the selected agents.
03
A wider rollout is approaching
A pilot is ready to expand and the next decision needs a practical security and governance view.
Connect governance to the Microsoft environment you use.
Microsoft Agent 365 describes its approach as Observe, Govern and Secure. The review uses that structure to guide the conversation, alongside the identity, data and threat controls relevant to your environment. Licence, configuration and supported-agent requirements are checked for the agreed use case.
BEFORE YOU DECIDE
Practical questions.
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Is this a free audit?
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Does it discover every agent in our organisation?
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Do we need Microsoft Agent 365 first?
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Will the review change our live permissions?
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Can we begin with one business process?
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What happens after the review?
Review Microsoft security priorities.
Explore the identity, data and security workflows relevant to your next AI decision.
LET’S GROW.
Give your next AI decision a clear owner.
Begin with the part of the business you need to understand. Agree a focused review and leave the next decision with the right people.
