Who should complete the assessment?

A founder, operations lead, product owner or department head who understands how the work is done today.

Do we need clean data before using AI?

Not perfect data, but the information must be findable, understandable and legally usable for the workflow you want to improve.

What score means we are ready?

A score of 17 or more means the foundations exist for a controlled rollout. Lower scores are not failures. They point to the smaller operational step that should come first.

Does a high score mean every process should use AI?

No. Readiness means you can evaluate and operate AI safely. The right decision may still be to leave some processes unchanged.

AI Readiness Assessment for Business

QUESTION 1Is there one repetitive workflow you can describe step by step?

Not yetRoughlyYes, clearlyYes, with volume and timing

QUESTION 2How accessible is the information needed for that workflow?

Scattered or unavailableMostly in people's headsAvailable in a few systemsStructured and accessible

QUESTION 3Is the work repeated often enough to measure?

RarelyA few times a monthEvery weekEvery day at meaningful volume

QUESTION 4Is one person accountable for improving the workflow?

No ownerShared informallyA clear ownerAn owner with time and authority

QUESTION 5Can a person review the AI output before it causes harm?

No review pointOnly after the factA review step is possibleReview and escalation are already defined

QUESTION 6How will you know the automation is working?

We have not defined itAnecdotal feedbackTime or quality can be measuredA baseline and target already exist

QUESTION 7Can the team change the current process if the pilot shows a better way?

NoWith difficultyYes, with approvalYes, the owner can decide

QUESTION 8How much experience does the team have operating automation?

NoneA few experimentsOne useful workflowSeveral monitored workflows

THE SHORT ANSWER

Readiness is operational, not theoretical

A business is ready for AI when it has a repeatable workflow, accessible information, a responsible owner and a way to review the output. This assessment checks those conditions before recommending a pilot or a larger rollout.

A readiness score out of 24
The right next step for your current stage
The gaps to fix before investing further

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Is your business ready for AI?

Readiness is operational, not theoretical

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