Pragmatic solutions to make artificial intelligence a source of performance that is measurable, well governed and compliant.
Competitiveness, rigour and data control.
Artificial intelligence has become a key source of productivity for SMEs and mid-caps. It delivers real gains, provided it is brought in methodically. Our approach rests on a simple requirement: deliver measurable performance within a controlled and compliant framework.
Every recommendation starts from a business issue. Gains are costed in euros, process by process, never as generic productivity promises.
We classify each use case by the sensitivity of the data involved. The architecture (SaaS, managed API, on-premise solution) is chosen in proportion to the level of risk.
GDPR and the EU AI Act are assessed from the moment a use case is identified, not at the end. Getting it right early costs less than fixing it later.
We receive no commission on the tools we recommend. Claude, Mistral, local open-source models: the choice depends solely on your situation.
Identification, quantification & recommendation
Alignment with leadership on business priorities, constraints and operational objectives.
Identification of high-potential processes and on-the-ground quantification with the relevant teams (volumes, time, costs).
Quantification of expected returns per process and architecture recommendation matched to data sensitivity.
Presentation of results to leadership and delivery of an actionable three-phase roadmap.
ROI modelled in euros on a transparent grid: volumes, unit times, adoption rates, ramp-up.
Systematic classification of use cases by data sensitivity and matched infrastructure choice.
GDPR and EU AI Act verification integrated into every recommendation.
No commission on tools. Recommendations are guided by your needs, not by commercial partnerships.
Deployment, governance & follow-up
Selection of solutions (SaaS, API, local or hybrid models), governance framework, usage policies and data handling rules.
Deployment of the first high-ROI processes to deliver value quickly and bring teams on board.
Deeper integrations (automated workflows, business APIs, local solutions for critical data) in line with the priorities identified.
Audit documentation, regulatory monitoring (EU AI Act, GDPR), maintenance and gradual scope expansion.
Quick wins come before larger projects. Value is proven at every step.
Documentation, internal training and team autonomy are part of every engagement.
High-risk AI use case register, EU AI Act and GDPR compliance built into deliverables.
Financial, technical and regulatory: AI integration draws on all three competences in parallel.
Culture & upskilling
AI skills in an organisation cannot be decreed: they have to be passed on. Romain Berrou, BeMaterial partner and PhD in sustainable finance, leads the Sustainable Intelligence Academy - AI culture for a sustainable future: corporate conferences, executive training and operational modules for teams. A dedicated upskilling offer, designed to complement our diagnostic and integration engagements.
Explore training programmesLet's discuss your needs and see whether an AI diagnostic would pay off for you.
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