How ready is your company
for AI?
Twelve statements about your company, each rated from one to five. Nothing to fill in about yourself. In about three minutes you get an honest read across the four things AI depends on — on screen, straight away.
Four dimensions.
Three statements each.
AI programmes rarely fail on technology. They fail on one of these four. The check tells you which one is holding yours back.
Data
What your business generates, captures, and ignores. The raw material AI runs on.
Direction
Where your senior team agrees AI should move the needle. Consensus before code.
Driver
Who owns AI outcomes. An internal driver inside your business, and an external driver who has done it before. You need both.
Domain
The competitive knowledge unique to your company. The moat AI is meant to widen.
How this scores
Twelve statements, three per dimension. You rate each from 1 (not started) to 5 (leading). Each dimension scores out of 15 and lands in one of four bands; the company band is the same scale applied to all twelve.
Data
- We have identified and documented all the data our business generates — sales, operations, customer interactions, production, and communications.
- Our key business data is stored digitally in structured systems (ERP, CRM, spreadsheets, databases) — not primarily in paper records or people's heads.
- We track data consistently across departments and over time — the same metrics, same formats, same frequency.
Direction
- Our senior leadership team has discussed AI as a strategic priority — with formal time allocated, not just casual conversation.
- We have identified at least one specific business problem we want to solve with AI in the next 12 months.
- There is consensus among our leadership team about where AI should be applied first.
Driver
- There is a specific person in our business who is responsible for our AI function — not as a side project, but as a genuine priority.
- Alongside that internal owner, we have an external driver who has done this before — someone who can evaluate options and challenge vendors from experience.
- That person (or team) has the authority to make decisions on tools, vendors, and AI implementation approach.
Domain
- Our business has documented its key processes, decision rules, and institutional knowledge — not just in people's heads.
- We understand what makes our domain knowledge unique compared to competitors — and protect it accordingly.
- We have considered how AI could be trained on our domain knowledge to create proprietary capabilities.
Little in place yet. Foundations before any tool.
Foundations are forming, unevenly across the business.
Solid in most places. The work now is sequencing and speed.
Ready. The question is what to build first, and with whom.
This is the short version. Atlas Lite runs the full questionnaires with your teams, in about three weeks.
Which industry are you in?
This shapes the examples in your read. Nothing else.