Decision moment
What belongs in an AI governance policy?
AI Governance Policy
Decision assetAI governance policy for companies: approved usage, data classes, approvals, tool rules and accountability.

What belongs in an AI governance policy?
An AI governance policy does not need to be long. It must clearly tell employees which usage is allowed, restricted or blocked and who approves use cases.
What belongs in an AI governance policy?
AI Governance Policy
AI Governance Consulting
Tirion method
The page is built as a decision surface, not as a generic article. The goal is to make scope, risk and next move visible.
Do not just write policy. Define allowed, restricted and blocked usage.
Which use cases need business, IT, security or legal approval.
Which guardrails allow usage without losing data control or accountability.
Scorecard
Which tools and data are green?
What needs review?
Which data or actions are off limits?
Red flags
Decision questions
Which AI tools are approved?
Which data classes must never be used?
How does a team request a new use case?
Tirion artifacts
Each page points toward concrete material leadership can review, not abstract advice.
One page with risk, value, owner, non-goals and the next move.
A reviewable matrix for data, risk, effort, readiness and leadership control.
A 30/60/90 path with approvals, pilot boundary and accountable owners.
Example pattern
AI is already being used, but rules are scattered or too abstract.
Tirion turns governance into usable rules, approval paths and decision questions.
The policy becomes a working instrument for safe usage, not a document for storage.
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