Decision moment
How do you create a policy for shadow AI?
Shadow AI Policy
Problem pageCreate a shadow AI policy that makes invisible AI usage visible and defines allowed, restricted and blocked usage.

How do you create a policy for shadow AI?
A shadow AI policy must make usage visible and provide approved alternatives. Otherwise it is a ban that productive teams work around.
How do you create a policy for shadow AI?
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 AI usage already exists?
Which data is blocked or review-only?
Which approved path is fast enough?
Red flags
Decision questions
Why do teams use shadow AI?
Which data has already been copied into external tools?
Which approved tools can cover the need?
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
Employees use AI because processes are slow, but the organization does not know tools, data or risk.
Tirion combines discovery, data classes, tool rules and a simple approval path.
Shadow AI is moved into approved usage, review cases and clear prohibitions.
Related pages in this cluster
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Use the AI & Cloud Leakage Score to identify the right starting point, owner model and next decision.