Diagnostic
Decision & data diagnostic
Assess data maturity, processes, existing tools and priority use cases.
Services & support
Move from an AI idea to an operational public decision.
Consulting, diagnostics, training and pilots for traceable public decision-making.
Solutions alone are not enough. MAATAI-LAB helps organizations scope use cases, assess data readiness, train teams, design pilots and govern decisions augmented by AI.
Engagement pathv1.0
01
Scope
Define the decision, users and constraints.
02
Pilot
Test on a limited and measurable perimeter.
03
Transfer
Train teams and document governance.
Support
A useful tool is also a tool teams can take ownership of.
Diagnostics, pilots, training and governance are meant to improve practices, not simply install technology.
Why services matter
The hubs define where we work. Services define how we start.
Every engagement must produce something usable: a diagnostic note, data map, prototype, training session, governance memo or pilot report.
Pilot
Operational pilots
Test MAATAI Sentinel, MAATAI Nomen, MAATAI Forensic, VELODIT, ECODIT or FRAÎCHEUR on a limited scope.
Training
AI, data & public decision training
Train leaders, analysts and operational teams to understand, question and govern AI tools.
Formats
Short, concrete formats linked to both hubs.
The format depends on the maturity of the organization, the data available and the decision to improve.
01
Scoping workshop
Clarify the problem, stakeholders, constraints and success criteria.
02
5-10 day diagnostic
Assess processes, data quality, governance and priority use cases.
03
4-8 week pilot
Build a focused prototype with indicators, limits and recommendations.
04
2-5 day training
Train teams in useful AI, data analysis, explainability and governance.
Governance
Support also covers what must be justified.
A decision assisted by AI must remain understandable, documented and defensible.
Explainability
Readable criteria and signals
Turn scores and alerts into elements that teams can understand.
Traceability
Documented decisions
Preserve rules, data versions, overrides and justifications.
Responsibility
Human in the loop
Clarify what the tool suggests and what the human validates.
Need scoping before choosing a solution?
A first exchange clarifies your context, data, constraints and the most useful engagement format.