Method

From audit to production,in twelve weeks.

An AI project rarely fails on technology. It fails on scoping, adoption and compliance. Our method locks down these three risks, with committed durations and outputs delivered at every phase.

Full cycle: 12wksat most, from immersion to production
First prototype: 4 sem.on your real cases, from deployment
Data: Monacoor private European cloud for your project data
Your contacts: 2 partnersinvolved at every stage of the engagement

The four phases

A method in four stages.

An AI project rarely fails on technology. It fails on scoping, adoption or compliance. Each phase locks down one of these risks, with a committed duration and delivered outputs.

Immersion & scoping

We start in your offices: interviews with management and teams, observation of real workflows, timing of recurring tasks. In parallel, we document your confidentiality constraints, which shape the entire architecture that follows.

Outputs delivered

Process map, quantified in hours
Register of confidentiality and compliance constraints
Engagement scope approved by management

1 to 2 weeksOn site, in the Principality: no data leaves your premises at this stage.

Diagnosis & prioritisation

Each opportunity is scored on four criteria: time freed, implementation complexity, data sensitivity and return on investment. We prioritise with you, not for you.

Outputs delivered

Quantified, prioritised opportunity matrix
Business case for the first use case: gains, costs, timelines
Scoping file compatible with the Fonds Bleu

1 weekThe gain is quantified in hours and euros before a single line of code.

Deployment

A prototype runs on your real cases within four weeks. Weekly iterations with users follow, up to a gradual go-live in your existing tools.

Outputs delivered

Tool or agent in production, integrated with your IT
Documentation and processing register ready for the APDP
Acceptance tests signed off by users

4 to 8 weeksHosted in Monaco, partitioned data, logged access.

Measurement & follow-up

Indicators are set during the diagnosis: hours freed, processing times, team adoption. A quantified review every month, a strategic check-in every quarter.

Outputs delivered

Performance dashboard, continuously updated
Quantified monthly review during the first quarter
Roll-out plan for the next use cases

OngoingYour teams are trained to run the tool: it belongs to you.

Charter of commitment · Minervia

A method is only worth the promises it keeps.

Four commitments, kept on every engagement.

1review / month
Article 1
Measured results
Every engagement starts with quantified indicators and is steered through a monthly review.
MCor private European cloud
Article 2
Sovereign data
Your project data hosted in Monaco or on a private European cloud, compliant with law n°1.565. It never trains third-party models.
D0confidentiality
Article 3
The discretion of the Principality
A non-disclosure agreement from the first conversation, and no reference published without your written consent.
0lock-in
Article 4
Your autonomy
Trained teams, complete documentation, no lock-in: the tool belongs to you.