AI Governance Readiness Scorecard
Score readiness across approved use, data boundaries, human review, escalation, logging, fallback planning, and ownership.
Fill this onlineTemplate preview
The exact sections inside the download.
Frame the operating decision
Which uses are approved, restricted, or forbidden? What data can enter the workflow, and what must be excluded? Use the combined view to name the business outcome, source of truth, and owner who will decide whether to proceed.
Set the control boundary
Where must a human approve before output or execution? What records prove what happened and why? State the risk to avoid, review or escalation route, and record needed to keep the workflow controlled.
Commit to the first move
What happens if the AI is unavailable, wrong, or unsafe? Ready, partial, exposed, or not ready? Record the smallest safe scope, baseline, owner, evidence, decision date, and next action.
Decision summary
Ready, partial, exposed, or not ready? Which missing control creates the most operational exposure? Summarize the proposed move, operating benefit, and the evidence that supports it.
Evidence and control
Which governance layer should be designed first? State the source, review boundary, accountable owner, and condition that would require revision or pause. Keep the decision receipt with the workflow record.
Next review
Record the decision owner, evidence source, review date, and the explicit condition to scale, revise, defer, or stop. Confirm how the resulting decision will be communicated, implemented, and retained in the operating record.
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.