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AI Governance Readiness Scorecard

Score readiness across approved use, data boundaries, human review, escalation, logging, fallback planning, and ownership.

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PDF · A4 · 4 pagesv1.235 minEN + FR available

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35 min EN / FR
01

Use approval

Which uses are approved, restricted, or forbidden?

02

Data boundary

What data can enter the workflow, and what must be excluded?

03

Review gate

Where must a human approve before output or execution?

04

Traceability

What records prove what happened and why?

05

Fallback

What happens if the AI is unavailable, wrong, or unsafe?

06

Readiness band

Ready, partial, exposed, or not ready?

01 / 03

Frame the decision

Name the real operating need before designing a solution.

Name the specific workflow, assistant, agent, or system being assessed.

Internal support, customer-facing output, decision support, execution, or analysis.

Name who owns safe operation and ongoing review.

How to use it

Start with one real decision.

Complete the canvas with the workflow owner, then use the blank areas to expose missing context and controls.

Before you begin

What Canadian suppliers must prove as public AI procurement demands sovereignty, auditability and accessibility

Read the guide

Need a starting point?

Place this workflow in your architecture.

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