Implementation guide
The AI Readiness Guide
A practical guide to getting your organisation ready to move AI from experiments into governed, measurable production.
What it is
AI readiness is the gap between running AI experiments and operating AI as a dependable, governed part of the business. This guide walks through assessing that gap and closing it deliberately.
Why it matters
Readiness is the strongest predictor of whether AI delivers ROI rather than cost.
It surfaces governance and data gaps before they become exposure.
It tells you exactly which step to start on, so you don’t boil the ocean.
How to do it
1
Score the gap
Benchmark AI, data and governance maturity objectively.
2
Fix the foundation
Close the data and governance gaps that block real use cases.
3
Ship one use case
Take a high-value case to production with monitoring and ownership.
4
Measure and expand
Prove ROI, then broaden coverage from a position of evidence.
Readiness checklist
0 of 6 completeTools you’ll use
Readiness assessment
Scores your exact maturity stage.
ROI calculator
Quantifies the opportunity.
AI governance checklist
Keeps it safe at scale.
AI business case template
Secures the funding.
Risks to watch
Boiling the ocean
Start with one high-value, feasible use case — not ten.
Skipping governance
Stand up guardrails before, not after, production.
No baseline
Agree the metric and starting point before you build.
What to measure
6 mo
to first measurable ROI
1
governed case live
100%
cases with an owner
Run this guide with us.
Start from a readiness baseline and we’ll implement it with your team, tied to outcomes.