Enterprise AI readiness check

When two systems disagree about a customer, which one is right?

Each record has a named ownerWe know which system wins, and who keeps itFor some recordsA few are settled, the rest are argued outNobody decidesWhoever is in the meeting picks a numberNot sureWe would have to find out

How joined are your main systems?

Most share data on their ownChanges flow between them without anyone moving themA few links, some by handExports, spreadsheets and a connector or twoEach one stands aloneData moves when someone copies itNot sureWe would have to find out

Does a customer have the same ID everywhere?

Yes, one ID in every systemA join is a lookupIn some of themThe rest are matched by handWe match by name or emailA join is a guessNot sureWe would have to find out

When two teams report the same number, do they agree?

Yes, each is defined onceWritten in one place, read the same everywhereAfter someone reconciles themThey agree by the end of the meetingOften notEach team has its own versionNot sureWe would have to find out

How would AI reach those systems?

As each person, with their own permissionsThrough single sign-on, as the person askingThrough one shared accountA service login that reaches everythingWe haven’t decidedNothing is connected yetNot sureWe would have to find out

Is there a written AI use policy?

Yes, and people know itIt is short, current and followedA draft, or an old oneWritten once, rarely readNot yetPeople decide for themselvesNot sureWe would have to find out

Where are you with an AI platform?

Still choosingNothing bought yetLicenses bought, few use themSwitched on, tried, leftIn use across teamsPeople rely on it every weekOur own modelsOpen weight models on hardware we control

What makes a company ready for enterprise AI?

Its systems, more than its platform. An assistant answers from what it can reach, so it needs records that agree, a customer it can follow from system to system, numbers defined once, and a way to sign in as the person asking. The average company runs 957 applications and connects 27% of them, and Gartner expects 60% of AI projects without AI-ready data to be abandoned. Our research on joining systems before the AI has the sources.

Questions

Are our answers sent anywhere?

No. The check runs in your browser. Your answers reach us only if you choose to send them to our team, and you can read and change them in the contact form first.

Is this an audit?

No. It is where to start, from what you know today. A working call checks each foundation in your own systems, and the written plan after it says what we would fix first and what it would take.

We already bought licenses. Is it too late?

No, and it is the most common place we start. The foundations can be fixed under a platform that is already in use, and its answers get better as each one is.

Why does a shared account come first?

Because it is the one answer that can leak. A connector set up with one shared account reaches whatever that account can, whoever is asking. Connected as each person, an assistant sees only what that person may.

Where it goes next

Every project is built the way we work: we listen, build one useful thing first, run it, and stay.

Is your company ready for enterprise AI?

What makes a company ready for enterprise AI?

Questions

Where it goes next

Tell us about the work. We’ll show you the AI for it.