AI Readiness Scorecard
Where is your company ready for AI, and where isn't it?
Twenty statements across data, process, people and governance. Score each one 0, 1 or 2, add up each section, and see where to focus first.
Score each statement: 0 · Not true · 1 · Partly true · 2 · True
Data
- The data behind your most important decisions lives in systems you can query, not in spreadsheets on someone's laptop.
- You know which system is the source of truth for customers, orders and products.
- Someone owns data quality, and errors get fixed at the source.
- You could export a year of the data a pilot would need within a week.
- Documents that drive work (contracts, orders, tickets) are stored where software can reach them.
Data total: / 10
Process
- Your most repetitive workflows are written down, step by step.
- You can say what each of those workflows costs today, in hours or errors.
- Exceptions and edge cases have a known owner and a known path.
- Changes to a workflow go through a review before they ship.
- You measure the outcome of a process, not just whether it ran.
Process total: / 10
People
- A named leader owns AI adoption, with time set aside for it.
- The people who do the work are involved in choosing what to automate.
- Staff use AI tools at work today, with guidance on how.
- Someone in-house can evaluate an AI vendor's claims.
- Teams have time in their week to learn a new way of working.
People total: / 10
Governance
- There is a written policy on what data can go into AI tools.
- You know which AI tools are in use across the company.
- AI output that reaches a customer is reviewed by a person, or checked automatically.
- Security and legal know how to assess a new AI tool, and how long that takes.
- Each AI project has a success measure agreed before it starts.
Governance total: / 10
Reading your scores
- 8 to 10 in a section: a strength. Lean on it when you pick your first use case.
- 4 to 7: workable. A pilot can start, but plan to close the gaps as part of it.
- 0 to 3: the likely reason a pilot would stall. Fix this first, or pick a use case that doesn't depend on it.
Your lowest section is usually the one to work on first. A high total with one very low section still means a pilot is likely to stall there.
Let's find where AI pays off in your business.
Thirty minutes with Daniel. No pitch deck: you talk about your business, I tell you honestly where AI fits and where it doesn't.