20 questions · about 8 minutes

Find out which one is actually stopping you.

Most companies assume the blocker is technology. It is usually data access, an undefined process, or an organisation that cannot absorb the change — and it is rarely the one people expect.

Answer honestly, including where the answer is unflattering. A scorecard built from optimistic answers describes a company that does not exist.

What happens next

QuantaumAI scores your answers and writes up the result — your standing on each of the three dimensions, the constraint holding the others back, and the first thing worth doing about it. It arrives by email within two business days. Nothing is scored or shown on this page.

First, who is this for?

The breakdown is written for your situation, so this is not optional padding — company size and role change what the recommendation is.

Full name *

Work email *

Company *

Your role

Company size

Data readiness

Whether the information a system would need is reachable, trustworthy, and owned by someone.

Where does the data behind your most important business process actually live?

Spreadsheets and individual inboxesIn systems, but each department keeps its ownMostly shared systems, with manual reconciliationIn one place the whole business trusts

If someone asked for last quarter's numbers broken down a new way, how long would it take?

Weeks, and we would argue about which version is rightDays, and one specific person has to build itHours, from a model that already existsMinutes, and they could do it themselves

How would you describe data quality where it matters most?

Unknown — nobody has measured itKnown to be poor, cleaned by hand each timeReasonable, with recurring gaps we know aboutMeasured and monitored, with owners for fixes

Is it written down who is responsible for your most important information?

NoInformally — people know who to askFor some areas, in writingYes, with named owners and real accountability

Can information be got out of your systems without someone retyping it?

Mostly not — what you see on screen is what you getSomeone can export it manually when askedMost systems can hand it over on a scheduleYes, and it already moves between systems on its own

How much of what this process relies on is buried in documents — contracts, email, tickets, notes?

Almost all of it, and you cannot search itA lot, kept somewhere but not organisedSome, and it is reasonably well organisedLittle, or you can already search it easily

Could you show an auditor your data retention and privacy rules?

NoInformal practice, nothing written downWritten policy, inconsistently appliedWritten, applied, and reviewed on a cycle

Process readiness

Whether the work itself is understood well enough that a machine could be told what correct looks like.

Think of the process you would most want to improve. Is it documented?

No — it lives in people's headsPartially, and the document is out of dateDocumented and roughly accurateDocumented, current, and actually followed

How consistently is it executed across the people who do it?

Everyone has their own wayBroadly similar, with significant variationConsistent, with justified exceptionsStandardised and measured

Do you know what that process currently costs you, in hours or money?

NoA rough guessMeasured for parts of itMeasured end to end

How are exceptions and errors handled today?

They surface when a customer complainsSomeone catches them downstream, by handThere is a defined exception pathTracked, categorised, and reviewed for root cause

Have you automated anything in this area before?

NoWe tried, and it did not stickYes — something is running in the business todayYes, and we actively maintain and extend it

How clear is the definition of a correct outcome here?

It is a judgment call, and people disagreeMostly judgment, with some rulesClear rules, with contested edge casesClear enough that someone could check the output

Could you explain and evidence how a decision in this process was reached?

No, and we would be required toOnly by asking the person who made itYes, from records, with effortYes — decisions are logged and reviewable

Team readiness

Whether the organisation can sponsor it, absorb it, and keep it running after go-live.

Who owns the outcome if this succeeds or fails?

Nobody specificIT, by defaultA business sponsor, informallyA named executive with budget authority

What is the realistic budget position?

No budget identifiedExploring — a business case would be neededBudget exists for a pilotApproved for pilot and production rollout

How did the last significant system change land with the people who had to use it?

Badly — adoption never really happenedMixed, and it took far longer than plannedFine, after some pushingWell, and we tracked whether it was being used

Do you have people internally who could look after what gets built?

No oneOne or two people already at capacityA small team that could own it with supportA team that already keeps systems running day to day

How would you describe leadership's expectations of AI?

That it will remove headcount, quicklyUnclear — expectations vary a lotCautiously optimistic, open to evidenceSpecific, measurable, tied to a business metric

What happens to the people whose work this changes?

It has not been discussedWe assume they will adaptDiscussed, but there is no plan yetPlanned — redeployment, training, or role redesign

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