AI Readiness Diagnostic
AI on dirty data doesn't give you intelligence. It gives you automated hallucination. Find out if you're ready.
Built for: CEO, CTO, Head of Data
AI on dirty data does not give you intelligence. It gives you automated hallucination: wrong answers, generated faster, with more confidence. Before anyone buys seats or builds agents, it is worth ten minutes to find out whether your foundations can actually support it.
Eight questions across semantic layer, lineage, freshness, governance and use-case clarity. You get a readiness score, a traffic-light verdict, and the specific gaps to close before AI work is anything but theatre.
What you get
A readiness score and a green / amber / red verdict
A dimension-by-dimension breakdown: semantic layer, lineage, freshness, hallucination risk, decision latency, automation, governance, use-case clarity
The concrete gaps to close, in order
A report you can put in front of whoever is asking "why are we not doing AI yet?"
How it works
Step 1
Answer a few questions
Plain-language questions about your situation. No setup, no credentials, nothing to install.
Step 2
AI analyses your answers
The analysis runs against the patterns I use in real engagements, the same frameworks, pointed at your numbers.
Step 3
Keep and share the report
A structured result you can save, re-run later, and take straight into a leadership conversation.
Questions, answered honestly
Pairs well with
Free tools that pick up where this one leaves off.
The Data Health Diagnosis
Identify the four pathologies hiding in your data organisation, from the Trust Deficit to the AI Hallucination. Get a clinical prescription.
Data Governance Generator
From chaos to the NorthStar Zone: generate a governance document that balances control with freedom to explore.
Cost of Chaos Calculator
Your data mess has a price tag. Quantify it with board-ready numbers that make the case for change.
Run it on your own numbers
Sign in free, answer the questions, and get a personalised result you can keep, re-run and share. It takes minutes, and it is the same framework I use in paid engagements.
30-minute call, no obligation. If it isn't the right fit, I'll say so.
Prefer a human? The full version of this analysis is part of the fixed-fee audit.
When the foundations are ready, the semantic layer and metric definitions are part of my rationalisation work. Want help interpreting your result? .