AI Kick Start
Use this plain-English assessment before buying tools or launching training. It checks the foundations that decide whether AI becomes a useful system or another abandoned subscription.
AI readiness measures how prepared your business is across technology infrastructure, data quality, team skills, leadership support, governance, and use-case clarity. A team with clean data, clear workflows, and a named owner can start safely. A team with scattered files and no review process needs preparation first.
Score one point for each yes: we have a repeated workflow worth improving; the workflow has a named owner; source documents are easy to find; sensitive data is understood; approved tools are defined; the team has basic AI literacy; leadership supports measured adoption; success can be measured; review checkpoints exist; and someone can maintain the system after handover.
Eight to ten yes answers means you are ready for a focused first AI sprint. Five to seven means you are ready with preparation. Three to four means build readiness before automating. Zero to two means start with the basics: data hygiene, workflow ownership, and training.
Pick one workflow with a clear owner, low data risk, and a measurable result. If the score is low, do not force an automation build. Fix the workflow, organise the source files, and train the people who will review the output.
FAQ
Eight to ten yes answers is a strong signal for a focused sprint. Five to seven can still work if the first build includes preparation and governance.
Start with workflow mapping, data cleanup, tool rules, and team training. That preparation is usually cheaper than launching a poorly owned automation.
Yes. The workflow audit turns this checklist into a scored opportunity map with a recommended first build and risk controls.
Start here
Bring one workflow, one growth problem, or one team that needs to get moving. We will map the first useful system.
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