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Shadow AI Policy

Problem page

Shadow AI Policy

Create a shadow AI policy that makes invisible AI usage visible and defines allowed, restricted and blocked usage.

AI Governance Policy: Shadow AI Policy

How do you create a policy for shadow AI?

Short answer

A shadow AI policy must make usage visible and provide approved alternatives. Otherwise it is a ban that productive teams work around.

01

Decision moment

How do you create a policy for shadow AI?

02

Cluster

AI Governance Policy

03

Recommended path

AI Governance Consulting

Tirion method

How this decision becomes workable

The page is built as a decision surface, not as a generic article. The goal is to make scope, risk and next move visible.

01Make rules decision-ready

Do not just write policy. Define allowed, restricted and blocked usage.

02Define approval paths

Which use cases need business, IT, security or legal approval.

03Reduce shadow AI

Which guardrails allow usage without losing data control or accountability.

Scorecard

What leadership should score before action

Visibility

Which AI usage already exists?

Data rule

Which data is blocked or review-only?

Alternative

Which approved path is fast enough?

Red flags

Signals that the page should lead to governance before build

  • The policy is only prohibitions.
  • Leadership follows different rules.
  • There is no fast path for new use cases.

Decision questions

Questions to answer before the next move

Why do teams use shadow AI?

Which data has already been copied into external tools?

Which approved tools can cover the need?

Tirion artifacts

Outputs this work should create

Each page points toward concrete material leadership can review, not abstract advice.

Decision memo

One page with risk, value, owner, non-goals and the next move.

Scorecard

A reviewable matrix for data, risk, effort, readiness and leadership control.

Execution path

A 30/60/90 path with approvals, pilot boundary and accountable owners.

Example pattern

A practical decision pattern

Situation

Employees use AI because processes are slow, but the organization does not know tools, data or risk.

Intervention

Tirion combines discovery, data classes, tool rules and a simple approval path.

Decision

Shadow AI is moved into approved usage, review cases and clear prohibitions.

Start now

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