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How do you make AI a lever rather than a risk?
Artificial intelligence
No miracle promises, no timidity: AI applied with discernment, in service of your strategy.
- Data and AI assessment: maturity, high-impact use cases, expected gains; AI due diligence for investors
- Strategy and roadmap: priorities, business cases, choice of solutions and partners
- Client-side project support: specifications, vendor selection, project steering through to deployment
- Governance, ethics and compliance: AI committee, risk management, AI Act
- Support for leaders and teams: AI literacy and change management
Assessment carried out by a Bpifrance-accredited expert and co-financed by the Diag Data IA programme for eligible French SMEs and mid-sized companies. We do not carry out technical development (agents, integrations): we entrust it to specialised partners and steer its delivery.
Client case · International business promotion network
For a network of 50 offices worldwide, we led, in partnership with Araïko, a Diag Data IA assessment co-financed by Bpifrance. Some twenty interviews in France, Germany and Italy made it possible to identify and prioritise 21 use cases, three of which were studied in depth, with estimated gains and costs. The 18-month roadmap starts with the essentials: building the teams’ AI literacy and an AI usage charter, before the first tools are deployed.










































