AI, adopted for real.

AI strategy, governance and roadmap

Leadership alignment, use-case prioritisation, make-or-buy method, design of shared foundations.

POCs, agents and technical foundations

Design, build, test and continuous improvement of agents; orchestrator and LLM access portal for business units.

Major railway infrastructure manager — Solutions

Monitoring managed by the monitoring team, offering everyone tailored intelligence with no effort and no new tools to master.

Context and needs : Unevenly informed teams, losing a lot of time searching for useful information with mixed success, and little shared culture on cross-cutting innovative topics.

• APAIA Watch
• Monitoring

Independent mutual insurer — Delivery

A sovereign agent that builds reports and ad hoc studies from raw unit-level data.

Context and needs : Heavy time loss consolidating data, limiting high-value ad hoc studies: pricing adjustments, loss-making contracts, trend anticipation, compliance. Personal data and strong regulatory-compliance stakes.

• Sovereign
• Agent

Major engineering group — Consulting

Balanced governance between IT and business units to deploy AI.

Context and needs : Multiple uncoordinated initiatives, fast-growing shadow IT, little visibility on priorities and stakes at executive-committee level.

• Organisation
• Governance