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Free · About seven minutes · Instant result

Find out where a data or AI build would actually stall.

Eighteen questions across the six dimensions that decide whether an AI system reaches production and stays there. You get your score and a prioritized list of what to fix first, on this page, immediately. Scoring happens in your browser — nothing leaves it unless you ask for the report by email at the end.

18Questions
6Dimensions scored
~7 minTo complete
NoneEmail required

0 / 18 answered

This assessment needs JavaScript to score itself. The questions below are worth reading either way — they are the six things that decide whether an AI build survives contact with production. If you would rather talk them through, book a strategy call, or see the two-week Assessment Sprint, where we score these against your systems rather than your answers.

Data foundation

Whether anything reliable exists to build on

0 of 3

Can someone get a trustworthy answer out of your core data in under a day?

Is there one agreed source of truth for the numbers leadership reports on?

Would your production data — with its gaps, duplicates and version drift — be usable by a model today?

Governance and review path

Whether a working system could actually launch

0 of 3

Is there a defined path for legal and security to review an AI system before it ships?

Do you know who is accountable when an AI system makes a wrong call?

Has anyone written down what your organization will and will not let AI decide on its own?

Evaluation and assurance

Whether you could prove it works

0 of 3

Could you prove to a risk committee that an AI system is accurate enough to deploy?

Do you have a labeled test set that a system is scored against before each release?

Would you detect it if a model change quietly altered how a system behaves in production?

Cost and portability

Whether it stays affordable at scale

0 of 3

Do you know your cost per transaction for any AI system you run today?

Could you move a workload to a cheaper model without re-testing everything by hand?

Has anyone modeled what your current AI usage costs at ten times the volume?

Adoption and literacy

Whether the organization uses what you build

0 of 3

Do the people who receive the output know how to act on it?

Can your managers ask sensible questions about an AI system they are shown?

Is anything you have already built being used daily rather than occasionally?

Security and AI risk

Whether the exposure is understood

0 of 3

Has any AI system you run been tested against prompt injection or data exfiltration?

Do you know whether sensitive data can reach a third-party model?

Is AI covered by your existing security review, or has it been treated as an exception?

Answer all three to continue.

Data Products · Readiness Report

AI & Data Readiness Assessment

Prepared —
Reference —
Scored in your browser
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Your result

0%Overall readiness across the six dimensions
0Dimensions at or above the production threshold
0Dimensions flagged as a gap — 2 of 6 or below

Readiness by dimension

Each bar is your score out of 6. The marker sits at 4, the level where a production build usually stops being rework. Hover or focus a row to see which of its three answers pulled it down.

What is holding up

    Where the risk sits

      What to fix first

      Ordered by where you scored lowest, with ties broken toward the more foundational layer. Fixing these in another order usually means doing the work twice.

      View the scores as a table
      Your score for each of the six readiness dimensions, out of 6.
      DimensionScoreOfStanding
      Total036—
      Talk through your result Get it verified

      Prefer to keep a copy? — it is a PDF, not a mailing list.

      The two-week version

      The version that is not self-reported.

      Everything above rests on your own answers, and everyone in the room will know it. The AI & Data Assessment Sprint is two weeks that replaces those answers with evidence — your pipelines read, your gaps ranked, your costs sized at your volumes.

      01 Readiness scorecard

      The same six dimensions, scored against four evidence criteria by people reading your systems rather than a questionnaire you filled in about yourself.

      02 Gap register

      Where a build actually breaks, named specifically enough that someone can put a number against fixing it.

      03 Order-of-magnitude cost view

      What each path costs to stand up and to run, sized at your volumes — enough to know whether the number is five figures or seven.

      04 Prioritized next steps

      One sequence with the reasoning attached, so the order can be argued with rather than taken on faith.

      Two weeks, fixed fee. It is designed as a low-risk way in, and the output is yours to use whether or not you take the work further with us. When a decision needs more than that, there is a longer engagement above it.

      See the Assessment Sprint
      Being straight about it

      What this is, and what it is not.

      It is a structured self-assessment

      Eighteen questions drawn from the reasons builds actually fail — thin data foundations, no review path, no evaluation harness, unmodeled cost, no adoption, unexamined exposure. Answering honestly is the whole method.

      It is not a diagnosis

      It scores what you tell it. It cannot see your architecture, read your contracts or interview your people, and it will not catch a problem you do not know you have.

      Nothing is collected unless you ask

      Scoring happens in your browser. Your individual answers are never transmitted. The one exception is deliberate: if you ask for the report by email at the end, your address and the six dimension scores are sent to us so we can send it. Skip that and nothing leaves your machine.