MaturIA is DataFish's Data & AI maturity audit platform.
From interviews with your teams to project tracking, then round again: each new audit measures how far you have come.
1Capture
Structured interviews with your teams, across four areas: data, AI, processes and culture. Every answer is scored from 0 to 5.
Extracts from MaturIA, with our demo project. Example, fictional data.
2Consolidate
Interviews are brought together and quantified: scores by area and by department, maturity radar, tool adoption rates.
Extracts from MaturIA, with our demo project. Example, fictional data.
3Recommend
From the results, AI proposes recommendations and use cases, with their impact and effort. The consultant reviews them.
Extracts from MaturIA, with our demo project. Example, fictional data.
4Report
A summary of pain points and goals, then reports ready to share with leadership and teams.
Extracts from MaturIA, with our demo project. Example, fictional data.
5Track
An action plan with owners and due dates, a schedule, and new interviews to update priorities. The history is kept.
Extracts from MaturIA, with our demo project. Example, fictional data.
Thirteen questions from the audit, five minutes, your scores across four areas: a short version of MaturIA.
Your company
Quick diagnostic In progress
Interview questions
How would you rate your knowledge of your department's business data?
Key data, indicators, data flows, sources
How much time do you spend each week on repetitive tasks?
Data entry, copy-paste, reminders, formatting spreadsheets
Do you use artificial intelligence tools? *
ChatGPT, Copilot, Gemini, Claude, Mistral or business tools with AI
How often do you use AI?
How would you rate the overall quality of your data?
Reliability, completeness, consistency of the data used day to day
Do you have a single source of truth for your key data?
A central, authoritative reference (e.g. the CRM for customers, the ERP for accounting)
Do you have rules for using generative AI?
Usage charter, restrictions, validation of outputs
How would you rate your department's level of digitalisation? *
Is there a data governance policy? *
Who is responsible for which data, and under which rules
Are your business processes formalised?
Documentation, written procedures, defined workflows
Are you satisfied with your current tools? *
0 = not at all, 5 = fully
How involved is leadership in data and AI topics? *
How do you react to changes in tools or methods? *
How open are you to automating your tasks?
0 = resistant, 5 = very enthusiastic
What is your main day-to-day frustration? (optional)
A few words are enough.
Details
Average of your answers in each area, from 0 to 5.
Maturity radar
YouDemo project (13 interviews)
One recommendation per area, in order of priority.
What stands out from your answers.
Strengths
Points to watch
Your main frustration
Go further
What DataFish offers a company at your level, and where to start.
See what we offer at your levelA consultant reviews your situation and replies with concrete proposals.
Request my diagnosticOver 100 questions, interviews with your teams, an action plan and tracking over time.
14-day free trialA 30-minute call to see where to start.
Book a callScores by interviewee
DataAIProcessesCulture
| Full name | Role | Department | Overall score | Status |
|---|---|---|---|---|
| User A | Data project manager | Delivery & Support | 2.0/5 | Completed |
| User B | Data Engineer | Data Engineering | 2.8/5 | Completed |
| User C | Data project manager | Consulting & Strategy | 2.9/5 | Completed |
| User D | Data Engineer | Data Engineering | 3.3/5 | Completed |
| User E | Data Engineer | Data Engineering | 2.9/5 | Completed |
| User F | Data Scientist | Data Science & AI | 2.1/5 | Completed |
| User G | Data Scientist | Data Science & AI | 3.3/5 | Completed |
| User H | Data Engineer | Data Engineering | 2.9/5 | Completed |
and 5 more interviews
Comparison by department
DataAIProcessesCulture
Culture: Data Science & AI (2.8) is 0.5 points behind Delivery & Support.
Tools & infrastructure: adoption rate
Frequency of AI use
Appetite for change
Organisation & governance
Needs & priorities: AI summary
Prioritisation matrix
Automated reporting consolidation Processes Partial
Feasibility: 4/5 ROI: 5/5 3 monthsSmart search across documentation AI Autonomous
Feasibility: 4/5 ROI: 4/5 4 monthsAssisted drafting of meeting minutes AI Supported
Feasibility: 5/5 ROI: 4/5 2 monthsUnified customer reference Data Partial
Feasibility: 3/5 ROI: 5/5 6 monthsAutomatic quality checks Data Autonomous
Feasibility: 3/5 ROI: 4/5 5 monthsWorkload forecasting per project AI Supported
Feasibility: 2/5 ROI: 4/5 9 monthsShared deliverable templates Processes Partial
Feasibility: 4/5 ROI: 3/5 3 monthsShared prompt library Culture Autonomous
Feasibility: 5/5 ROI: 3/5 2 months| Status | Action | Owner | Due |
|---|---|---|---|
| Done | Publish the generative AI charter | Leadership | 31/03/2026 |
| In progress | Define the shared tracking model | Consulting & Strategy | 30/06/2026 |
| In progress | Automate source collection | Data Engineering | 31/07/2026 |
| To do | Map critical data | Data Engineering | 30/09/2026 |
| To do | Choose the reference per domain | Consulting & Strategy | 31/10/2026 |
| In progress | Roll out assisted meeting minutes | Delivery & Support | 31/08/2026 |
| Blocked | Industrialise the first model | Data Science & AI | 30/11/2026 |
| To do | Name a data contact per department | Leadership | 31/12/2026 |
Complete PDF exports for the audit debrief.
Maturity scores (4 areas and overall score), interview comparison, AI summary, strengths and weaknesses, recommendations, action plan.
Comparison table of the people interviewed, individual scores per area, comparison chart.
Sector, size, maturity scores, tech stack and its analysis by AI, recommendations, action plan.
Full interview grid, organised by section, with the scoring grid per area.
For each person: scores, strengths and weaknesses, personal improvement plan.
Four ways to benefit from it, depending on who leads the transformation.
You lead the data and AI transformation, across several departments.
SaaSHosted in your cloud
You lead the transformation yourself and want to stay in control.
SaaSHosted in your cloud
You run maturity audits for your clients.
SaaS
You would rather delegate: we run the audit for you, with MaturIA.
As SaaS to start right away, or hosted in your cloud to keep control of your data and models.
SaaSmaturia.info
Hosted in your cloudOn your infrastructure
30 minutes with us, by video if possible or by phone, with no commitment. You tell us about your situation, we tell you frankly where we would start.
The questions we get asked most often.
Why MaturIA rather than a one-off audit?
Because history is kept: you measure progress from one audit to the next instead of starting from scratch, and recommendations are updated with new feedback from the teams.
Can DataFish run the audit for us?
Yes, that is the guided audit: our consultants run the audit with MaturIA, on site or remotely.
Which AI models process our data?
As SaaS, the models are selected and managed by MaturIA. With MaturIA hosted in your cloud, you choose the models (Mistral, GPT, Claude or open models) and your data stays with you.
Can we try it for free?
Yes: the Quick diagnostic (5 min), higher up on this page, and a 14-day free trial of the full version on maturia.info.
Try MaturIA live