AI Readiness Self-Assessment

Data Readiness

How would you describe the data available for the process you want to automate or improve with AI?

1 We do not track this systematically — it lives in emails, spreadsheets, or people's heads. 2 We have some data, but it is inconsistent, incomplete, or spread across multiple systems. 3 We have reasonably consistent data, but it needs cleaning or restructuring before it can be used. 4 We have clean, accessible, up-to-date data that directly relates to the task.

Process Definition

How well-documented is the process you want to automate?

1 It lives entirely in people's heads. Nothing is written down. 2 There is an informal shared understanding, but no documentation that a new person could follow. 3 We have documentation but it is incomplete, outdated, or differs from what people actually do. 4 The process is fully documented, consistently followed, and a new employee could run it on day one.

Governance Structure

If an AI system made a significant error on this task, how would you catch and correct it?

1 We have not thought about this. There is no review process. 2 Someone would probably notice eventually, but we have no system designed to catch it. 3 We have an informal review step, but it is not documented or consistently applied. 4 We have clear approval gates, a named reviewer, and a defined escalation process.

Team Capability

How confident is your team in using and reviewing AI-generated outputs for this task?

1 My team has no experience with AI tools and would not know how to evaluate outputs. 2 My team has tried AI tools but is not confident in reviewing or questioning what they produce. 3 My team uses AI tools regularly and can spot obvious errors, but deeper review is uncertain. 4 My team can confidently review, challenge, and correct AI outputs without specialist support.

Measurement Framework

Do you have a baseline measurement for what you are trying to improve?

1 We have not decided what we would measure. There is no defined success outcome. 2 We know roughly what we want to improve but have not measured where we are starting from. 3 We have some baseline data but it is incomplete or not directly tied to the AI use case. 4 We have a clear baseline and know precisely what we will measure to confirm improvement.

Your Result

/ 20

Data Readiness

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Process Definition

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Governance Structure

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Team Capability

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Measurement Framework

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