DMIA · AI Maturity Diagnostic
Where does your organization stand on AI?
DMIA locates your organization’s AI maturity across six dimensions, separates what is genuinely equipped from what remains declarative, and shows where to start.
Three ways in
The first two are self-service and open. The third is a facilitated workshop.
AI maturity diagnostic
You get a profile across six dimensions, your priorities and a downloadable report.
≈ 12 minutes · 18 questions
Frugal AI diagnostic
Twenty-three practices drawn from the AFNOR SPEC 2314 framework, to situate how frugal your AI projects are and know where to start.
About 10 minutes
Full diagnostic in a workshop
The full diagnostic, run in session: every sub-dimension is rated item by item, and twelve dilemmas locate your real trade-offs.
3-hour workshop
What the diagnostic is built on
Two research papers, one public framework
The DMIA maturity scale — six levels, from “Inactive” to “Transformational” — is that of the AI Capability Maturity Model by Hansen and co-authors (2024), built from expert interviews and then three organizational case studies. Its three-pillar structure — technological, organizational, environmental — gives the diagnostic its backbone. Akbarighatar and co-authors (2023), after reviewing more than fourteen hundred articles, add the principle that governs the model’s balance: artificial-intelligence maturity does not reduce to technical sophistication, it results from the joint adjustment of the technical system and the social system. That is why skills, adoption and responsibility weigh as much here as data and infrastructure. The frugality strand draws on the AFNOR SPEC 2314 framework and on the thirty-one good practices it rates for gain and effort.
What the model measures
Your organization is described by six dimensions and eighteen sub-dimensions, each placed on the six levels of the scale. Two numbers come out of it and they are never conflated. The first is a continuous score, which feeds the radar and reads as an average. The second is your claimable maturity level: it is non-compensatory, meaning that a lagging capability caps the whole instead of being offset by a strength elsewhere. The target level, finally, is not the maximum by default: it depends on your sector, your regulatory exposure and your ambition; the diagnostic establishes it before measuring any gap at all.
What you get out of it
Six indicators summarize the position: the maturity index, the target coverage rate, the spread across dimensions — a high spread signals the trap of pilot projects piling up —, blocking capabilities, critical gaps, that is, the sub-dimensions two levels or more below their target, then the sub-dimensions above their target, which conversely signal investment out of proportion to the context. The last three are what makes the roadmap. In a Deep workshop you also get your position on six strategic dilemmas, which locates your real trade-offs, then the dissensus rate, which measures disagreement in the room — often more instructive than the scores themselves.
References
Hansen, H. F., Lillesund, E., Mikalef, P. & Altwaijry, N. (2024). Understanding Artificial Intelligence Diffusion through an AI Capability Maturity Model. Information Systems Frontiers, 26(6), 2147-2163. 10.1007/s10796-024-10528-4
Akbarighatar, P., Pappas, I. & Vassilakopoulou, P. (2023). A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review. International Journal of Information Management Data Insights, 3(2), 100193. 10.1016/j.jjimei.2023.100193
The Deep workshop — for collective alignment
Facilitated by a member of the Mana team, from questionnaire to decision.
What is included
- Access to the DMIA platform via a dedicated code
- In-depth pass: every sub-dimension rated item by item
- Twelve dilemmas to locate the real trade-offs
- Guided debrief: profile, gaps and priorities
- PDF report, plus mission exports (JSON, CSV, radar)
Price
Beyond a dozen participants, or for a wider scope (multi-team, multi-site): on quotation.
Format adaptable to your needs and your cohorts — get in touch.