# AI Readiness Assessment — Implementation Workbook

Version: 1.0
Published: 2026-07-27
Last updated: 2026-07-27
Owner: Rusaka Research
Review frequency: Every 6 months

## Decision statement

What decision must this workbook support?

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## Scope and exclusions

In scope:

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Out of scope:

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## Baseline evidence register

| Evidence item | Source | Date | Owner | Verified by | Status |
|---|---|---|---|---|---|
| | | | | | |
| | | | | | |
| | | | | | |

## Assumption register

| Assumption | Rationale | Decision affected | Downside case | Test | Owner | Review date |
|---|---|---|---|---|---|---|
| | | | | | | |
| | | | | | | |

## Options and decision criteria

| Option | Outcome | Feasibility | Cost | Time | Risk | Reversibility | Recommendation |
|---|---:|---:|---:|---:|---:|---:|---|
| | | | | | | | |
| | | | | | | | |

## Implementation plan

| Phase | Entry evidence | Actions | Owner | Control | Exit evidence | Due date |
|---|---|---|---|---|---|---|
| 1. Design — AI Readiness Assessment | | During design, use AI Readiness Assessment to turn an ambiguous question into a scored and prioritised action plan. Start with dated process evidence, performance measures, cost, risk, stakeholder input, and an explicit assumption register. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a completed assessment, evidence notes, and prioritised actions. | |
| 2. Pilot — AI Readiness Assessment | | During pilot, use AI Readiness Assessment to turn an ambiguous question into a scored and prioritised action plan. Start with dated process evidence, performance measures, cost, risk, stakeholder input, and an explicit assumption register. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a completed assessment, evidence notes, and prioritised actions. | |
| 3. Scale — AI Readiness Assessment | | During scale, use AI Readiness Assessment to turn an ambiguous question into a scored and prioritised action plan. Start with dated process evidence, performance measures, cost, risk, stakeholder input, and an explicit assumption register. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a completed assessment, evidence notes, and prioritised actions. | |
| 4. Operations — AI Readiness Assessment | | During operations, use AI Readiness Assessment to turn an ambiguous question into a scored and prioritised action plan. Start with dated process evidence, performance measures, cost, risk, stakeholder input, and an explicit assumption register. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a completed assessment, evidence notes, and prioritised actions. | |
| 5. Discovery — AI Readiness Assessment | | During discovery, use AI Readiness Assessment to turn an ambiguous question into a scored and prioritised action plan. Start with dated process evidence, performance measures, cost, risk, stakeholder input, and an explicit assumption register. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a completed assessment, evidence notes, and prioritised actions. | |

## Measures and thresholds

| Measure | Definition | Source | Baseline | Target | Threshold | Owner | Frequency |
|---|---|---|---:|---:|---:|---|---|
| | | | | | | | |
| | | | | | | | |

## Risk and control register

| Risk | Cause | Impact | Preventive control | Detective control | Owner | Residual risk |
|---|---|---|---|---|---|---|
| | | | | | | |
| | | | | | | |

## Review checklist

- [ ] 1. Data governance: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 2. Capability and resourcing: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 3. Scale readiness: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 4. Review and renewal: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 5. Decision boundary: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 6. Stakeholder map: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 7. Current-state baseline: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 8. Evidence design: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 9. Operating model: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 10. Architecture and integration: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 11. Risk and compliance: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 12. Economics and value: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 13. Delivery sequencing: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.
- [ ] 14. Vendor and partner assessment: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear.

## Approval record

| Role | Name | Decision | Conditions | Date |
|---|---|---|---|---|
| Accountable owner | | | | |
| Subject-matter reviewer | | | | |
| Risk or control reviewer | | | | |

## Authoritative references

- https://www.nist.gov/itl/ai-risk-management-framework — Authoritative reference 1 for the evidence and standards relevant to Artificial Intelligence and Automation. Confirm the current version and applicability before relying on it.
- https://oecd.ai/en/ai-principles — Authoritative reference 2 for the evidence and standards relevant to Artificial Intelligence and Automation. Confirm the current version and applicability before relying on it.
- https://developers.google.com/machine-learning — Authoritative reference 3 for the evidence and standards relevant to Artificial Intelligence and Automation. Confirm the current version and applicability before relying on it.

## Related Rusaka resources

- https://www.rusaka.com/resources/tools
- https://www.rusaka.com/resources/calculators/ai-roi-calculator
- https://www.rusaka.com/resources/guides/ai-governance-guide
- https://www.rusaka.com/resources/tools/transformation-readiness-assessment
- https://www.rusaka.com/resources/tools/cyber-risk-assessment-tool
- https://www.rusaka.com/resources/calculators/ai-cost-calculator
- https://www.rusaka.com/resources/glossary/ai-prompt-library
- https://www.rusaka.com/resources/guides/ultimate-ai-guide

## Important limitation

This educational workbook does not replace legal, investment, tax, accounting,
security, clinical, regulatory, or other qualified professional advice. Confirm
current requirements and obtain formal organisational approval where applicable.