Services

From the AI strategy to the system people use.

Six things we do for large companies, by one senior team. We decide with your executive committee what AI should do for the business, then we build it, on your servers or your cloud.

Book a strategy callWays to start
01 · AI strategy

Decide where AI pays, in writing.

An AI strategy diagnostic. In 2 to 4 weeks: where AI creates value in your business, what it is worth and what to do first.

  • Every AI idea sized by value, effort and risk
  • A ranked plan your executive committee can approve, with owners
  • Governance designed with your risk teams for the EU AI Act and DORA
4 wksTo an approved AI plan · French mutual insurer
02 · AI for IT & Business

AI agents inside your IT and business workflows.

Assistants and AI agents in your CRM, ERP and IT tools. AI prepares the work; your people decide.

  • IT operations: tickets, incidents and requests handled in your tools
  • Business workflows across finance, operations, sales and customer teams
  • Measured before and after, with the teams who use it
−73%Credit review time · European corporate and investment bank
03 · AI-driven SDLC

An AI software factory, from idea to production.

Engineers, AI agents and quality checks take ideas from requirements to tested, deployed software. Engineers review key decisions.

  • AI software factory: specification, architecture, build, testing, deployment and improvement
  • Shared project context across requirements, code, tests and releases
  • Engineers in charge of every decision, from specification to release
04 · Voice AI

Voice AI built for enterprise customer service teams.

Voice agents answer and make calls, act in your systems and hand over to a person. Copilots guide agents live on calls.

  • Customer service voice agents for inbound and outbound calls, inside your CRM
  • Conversation intelligence: customer needs, call quality, improvement opportunities
  • Runs on your private cloud or on‑premise
3×Faster incident reports · Energy company
05 · Data for AI

Your data, made usable by AI.

Documents, archives and databases put in order so AI can use them, with every answer traced to the source it came from.

  • Pipelines from your existing systems and archives
  • Every answer linked to the document it came from
  • Access follows your existing permissions
850Engineers using one maintenance assistant · Aerospace supplier
06 · Infrastructure for AI

On your servers or your cloud, under your rules.

AI systems that run inside your perimeter, under your security rules, with code you own.

  • On-premise or in your cloud, your data stays under your control
  • Built to pass your security and compliance reviews
  • Your teams trained to run it after go-live
320Analysts using it on the bank’s own servers
Ways to start

Three ways to start. The same team in each.

2–4 weeksStart here

AI strategy diagnostic

Where AI creates value in your business, what it is worth and what to do first.

  • Interviews across the business
  • Every AI idea sized in hours and euros
  • Risk review with compliance
  • A ranked, written plan
You hold at the endA plan your executive committee can approve
First system

One AI system in production

One use from the plan, built into your tools and live with the people who use it.

  • Assistant, agent or voice system
  • On your servers or your cloud
  • Every answer traced to its source
  • Measured before and after
You hold at the endA system people use every day
Ongoing

Embedded AI team

Strategy and engineering alongside your teams, one use after another.

  • Senior people working with your teams
  • The plan kept up to date
  • New uses built in order
  • Your teams trained to run them
You hold at the endAn AI programme that keeps shipping

Trusted by CAC 40 companies and global groups

First step

Not sure where to start? Thirty minutes will tell.

Tell us where your AI work stands. You will leave with a clear view of what to do next.

Book a strategy call