Skip to content

Automate

AI Readiness Score

Twelve questions about your data, your processes and your team. Most AI projects fail on the first two, long before anyone writes a prompt.

Customer records live in one system

Not four spreadsheets and a WhatsApp group.

That system is searchable and current
Enquiries arrive in a structured form, not free text
You can tell where a lead came from
Your processes are written down somewhere
Your systems have APIs or export cleanly

If the answer is "we print it", score this low.

Someone owns data quality as part of their job
You measure first response time
Repetitive tasks are identified and listed
Staff would use a tool that changed their workflow
You have a clear rule for what needs a human
There is budget to run and maintain it, not just build it

33/100

Groundwork first. Automation now would automate a mess.

DataRecords, structure, and knowing where leads came from
4/12
ProcessDocumentation, integrations, ownership, measurement
4/12
People and budgetAppetite, boundaries, and money to run it
4/12
Weakest areaStart here, not with the tooling
your data
Talk about where to start
How this is calculated
  • Twelve questions, scored 0 to 3 each, reported out of 100.
  • All three areas are weighted equally. In practice data problems sink more projects than the other two combined.
  • This is a self-assessment. It is only as honest as the answers, and people tend to score their own data generously.