Governance readiness

Free Canadian small business workbook

AI Governance Readiness Scorecard

A worksheet for assessing whether AI-supported work has enough ownership, review, and traceability to scale.

7 pages · PDF workbook · No email required

Actual working-record worksheet from the AI Governance Readiness Scorecard, page 3 of 7.
Preview all 7 pages Read the complete workbook before downloading.
Preview the complete PDF All 7 pages · Free to explore

Scroll through the full workbook below. Download the PDF for selectable text, printing and your own working copy.

Workbook page 1 of 7. For selectable text, use the free PDF download.
Page 1 of 7
Workbook page 2 of 7. For selectable text, use the free PDF download.
Page 2 of 7
Workbook page 3 of 7. For selectable text, use the free PDF download.
Page 3 of 7
Workbook page 4 of 7. For selectable text, use the free PDF download.
Page 4 of 7
Workbook page 5 of 7. For selectable text, use the free PDF download.
Page 5 of 7
Workbook page 6 of 7. For selectable text, use the free PDF download.
Page 6 of 7
Workbook page 7 of 7. For selectable text, use the free PDF download.
Page 7 of 7

What’s inside

A working guide
for a real decision.

Score readiness across approved use, data boundaries, human review, escalation, logging, fallback planning, and ownership. Use this guide to make the operating choice explicit, test it with evidence, and record who owns the next decision.

Who this is for

Teams turning architecture work into a reusable operating artifact.

Bring the people who own the work

Include the workflow owner, a person who performs the work, a reviewer with authority to approve or stop it, and the relevant data or tool owner.

Includes an explainer, working worksheet, three illustrative examples and practical considerations. This is a planning PDF, not prebuilt automation software.

Use it with your own work

Five questions
to work through.

Choose one workflow. Record enough context to support a decision, then use the worksheet to name the owner, evidence and next review.

  1. Use approval

    Which uses are approved, restricted, or forbidden?

  2. Data boundary

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

  3. Review gate

    Where must a human approve before output or execution?

  4. Traceability

    What records prove what happened and why?

  5. Fallback

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

Illustrative examples from the workbook

Where this becomes practical.

Consulting Practice

Assess proposal-assistant readiness

Staff already use AI informally, but source permissions and client-facing approval rules are undocumented.

Independent Retailer

Assess customer-support readiness

A response assistant has current FAQs but no clear escalation for refunds, allergens, or complaints.

Accounting Practice

Assess client-summary readiness

The workflow has reviewers, yet retention, audit, and fallback rules are incomplete.

AI-supported role
Gather evidence for approved use, data boundaries, review, logging, fallback, and ownership.
Human authority
A named leader scores readiness and remediates the highest-risk gaps before scale.
What to measure
Track open control gaps, overdue owners, incidents, and re-review completion.

Illustrative scenarios, not client results or a promise of performance. The workbook includes additional case-specific prompts.

A useful first step

Use the workbook.
Bring us the next question.

Download and use it without booking a call. If you want help applying it, email Chris with the workflow you’re considering and what you want to improve.

Discuss your workflow

Further reading in the library

General operational guidance only. These resources are not legal, privacy, cybersecurity or regulatory advice.