Free resources
Practical prompts for leaders turning AI interest into responsible action.
Useful tools for the next practical step.
Free downloadable toolkit
Three practical resources. One short form.
Share your contact details to unlock the complete PDF toolkit. The resources are designed for leadership workshops, discovery sessions and practical planning.
- AI Readiness: evidence checklist, maturity score and 90-day plan.
- Automation: weighted scorecard, risk screen and pilot canvas.
- Responsible AI: governance prompts, decision record and go-live checks.
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01 · Checklist
Build an AI readiness baseline.
Use these five questions before approving a pilot or buying another platform.
- 01
Name the business outcome before choosing a tool.
- 02
Identify the accountable owner and the people affected.
- 03
Check data quality, access and permission constraints.
- 04
Define acceptable risk, human oversight and escalation.
- 05
Choose one measurable pilot with a clear review point.
02 · Scorecard
Map work worth automating.
Score each candidate workflow from 1–5 against these criteria. High value with manageable risk is usually the strongest place to begin.
- Frequency
- How often does the work occur?
- Friction
- How much delay, rework or manual coordination does it create?
- Rules
- Is the work repeatable enough to describe clearly?
- Risk
- What is the consequence of an incorrect or incomplete result?
- Value
- What capacity, quality or service improvement would success release?
03 · Discussion guide
Ask the responsible-AI questions early.
Bring these prompts into sponsor, design and governance conversations.
- 01
What decision or task is the system supporting?
- 02
Which data does it use, and is that use appropriate?
- 03
Where must human judgement remain?
- 04
How will errors, bias and unexpected outcomes be detected?
- 05
Who can pause, change or retire the solution?
Need a second pair of eyes?