AI Maturity Model¶
The assessment companies are scored against in M02. It produces the baseline that anchors the whole engagement and lets us recommend a path. Five dimensions, five levels each. Score 1–5 per dimension; the profile (not just the average) drives the recommendation.
The five dimensions¶
- Data — Is the company's information captured, organized, and accessible?
- Tools — What software is in use, and how connected/automatable is it?
- Skills — How literate and confident are the people with AI?
- Process — How much of the work is documented and repeatable (vs. in people's heads)?
- Leadership — Is there sponsorship, budget, and a willingness to change how the company works?
The five levels¶
| Level | Name | Description |
|---|---|---|
| 1 | Unaware | No deliberate AI use. Data scattered. Work tribal. No sponsor. |
| 2 | Curious | Ad-hoc ChatGPT use by individuals. Some SaaS tools. No strategy. |
| 3 | Adopting | Teams use AI regularly for tasks. Tools partly connected. A sponsor exists. |
| 4 | Operating | Automations run. Data is connected and queryable. AI is part of process. |
| 5 | OS-native | An AI operating system runs the company's memory, reasoning, and connectors. |
Scoring grid (what each level looks like per dimension)¶
| L1 Unaware | L2 Curious | L3 Adopting | L4 Operating | L5 OS-native | |
|---|---|---|---|---|---|
| Data | scattered, paper/email | some in SaaS, siloed | centralized in a few systems | connected & queryable | unified memory layer |
| Tools | manual | a few SaaS apps | SaaS with some integration | automated workflows | tools = OS connectors |
| Skills | none | 1–2 dabblers | most use AI weekly | builders + operators fluent | whole org AI-native |
| Process | undocumented | partly documented | documented, manual | partly automated | self-running |
| Leadership | absent | interested | sponsor named, small budget | committed, resourced | AI is the strategy |
How M02 uses it¶
- Score each dimension 1–5 from a short interview + evidence.
- Plot the profile. The lowest dimensions are the constraints — they set the starting modules.
- Map to the path: low Skills → start Stage B; strong everywhere but no automation → jump to Stage D; strong across the board → fast-track toward M12.
- Record the baseline in the Company Readiness File. Re-score at Gate 3 and after M12 to show movement.
Recommendation heuristics¶
- Skills ≤ 2 → Stage B is mandatory before anything technical.
- Leadership ≤ 2 → fix sponsorship in M01 before spending effort; otherwise the program stalls.
- Data ≤ 2 → M09 (data integration) will be the hard part; flag it early.
- All ≥ 4 → candidate for an accelerated path straight toward the OS.
The goal of the program is to move every dimension toward Level 5 — OS-native, which is, by definition, a deployed Analytica AI OS.