Self-check · 5 minutes
How ready is your data for AI? An honest self-assessment.
Eighteen questions, three for each pillar of the Truth Score™. You get a self-reported indication for each pillar and a count of what nobody could answer. It is what you believe about your data, not a measurement of it.
Runs in your browser. Nothing is sent unless you choose to send it.
The self-check
Answer for today. Not after the next project.
“Don’t know” is a real answer here, and it counts separately rather than as a zero. If you aren’t sure, choose it.
Your indication · self-reported
Your answers
What this is not
Not a Truth Score™, not a band and not a benchmark. It reflects what you believe about your data; the records may say otherwise, in either direction.
A Truth Score Read measures the same six pillars from exports of your own systems, compared record by record, within 5 working days of complete exports.
A second opinion
Send us your answers. We’ll say which pillar to measure first.
Your indication for each pillar and the count of unanswered questions come with the form. To keep them yourself, copy the page address: your answers are saved in it.
Self-reported versus measured
What people believe, and what the records say.
This self-check
What your team believes.
Quick, and useful for finding the questions nobody can answer. It can’t see a customer who is active in the CRM and missing from billing.
A Truth Score Read
What your records show.
Exports from two or more systems, matched between them. A Truth Score out of 100, a Leverability read on the AI in question (which AI ideas you can use now, after fixes, or not at all) and the red flags between systems, in a signed memo. See a real sample memo.
The gap between them
Often the finding.
Where belief and records disagree is where an AI proposal is most likely to stall. 8% of businesses say their data is fully ready to support AI at scale.
Source: Dun & Bradstreet AI Momentum survey of 10,000 businesses, November 2026.
Questions
About the self-check.
What the indication is, what it isn’t, and what happens to your answers.
Book the callIs this a Truth Score?
No. A Truth Score™ (a score out of 100 for how far your data can be trusted) is measured from your records: exports from two or more systems, matched between them, with every red flag checked by hand. This self-check records what you believe about your data. It gives an indication per pillar, not a number out of 100 and not a band.
Why is there no overall score?
Because a score built from opinions looks more precise than it is. Six plain indications, plus a count of the questions nobody could answer, are more honest and more useful.
Why does “don’t know” count separately?
Because not knowing is not the same as a bad answer, and it can be the most important finding. If nobody can say whether the CRM and billing agree, that is the first thing to measure.
Who should fill it in?
Whoever will sign off the AI spend, ideally with the person who runs finance or revenue operations. Answer for how things are today, not how they will be after the next project.
Are my answers sent anywhere?
No. The self-check runs in your browser, and your answers are kept in the page address so you can copy the link and share it with your team. Only if you choose to send them to us do we receive a summary of your indication with your details, and nothing else.
You’ve said what you believe. Now see what the records say.
Exports from two or more systems, compared record by record. Your Truth Score™ and a Leverability read in a signed memo, within 5 working days of complete exports.
Starts with a 30-minute call. Commits you to nothing.