An AI department, run like your own.
In plain wordsNo AI team? We become your AI department.
The challenge
Building an internal AI team takes time: hiring senior profiles, structuring the function, choosing the technology. Meanwhile, the business keeps waiting.
- Months of recruitment for each senior profile
- High fixed costs before the first result
- One hire cannot cover strategy, architecture and delivery
- Needs that change from one quarter to the next
What we take on
Leadership
An AI lead who owns the roadmap, works with your business teams and reports to management.
Technical direction
Architecture, model and vendor choices, security and quality standards.
Engineering team
Specialist engineers who build, integrate and maintain your AI systems.
Continuous delivery
You set the priorities each month. Regular releases and transparent reporting on progress, risks and costs.
Your rules and your assets
We follow your security policies and IT standards. Code, models, documentation and data belong to you, in your repositories and environments.
We build it, run it, then hand it over
You retain control of your solutions.
Build
We set up your AI department: priorities, architecture, first systems in production.
Run
We run it month after month, with transparent reporting.
Recruit and train
We help you recruit your own team, and train it on your systems.
Hand over
Systems, documentation and skills are transferred step by step, until your team takes the lead.
Examples of use cases
Typical situations where this formula applies.
Creating an AI function
- Context
- A company has no AI team and a growing backlog of requests from its business units.
- Outcome
- A structured AI function, a roadmap and the first systems in production.
Taking over from a stretched IT department
- Context
- The IT department is busy with its own projects, and the business units’ AI requests are waiting.
- Outcome
- The AI function taken on, in step with IT: priorities, architecture, systems in production.
Taking over AI systems in production
- Context
- Systems built by a previous provider are live but no longer maintained.
- Outcome
- Audit, stabilisation and continuous improvement under clear ownership.
Supporting an international rollout
- Context
- A group wants to extend an AI system from its headquarters to subsidiaries in Europe and Asia.
- Outcome
- A rollout plan, localisation and coordinated support in English, French and Japanese.
Benefits
- No long, costly recruitment
- The right specialists, without recruiting them
- Capacity that follows your needs
- One team accountable from use case to production
A monthly engagement, adjusted to your needs
- 01
Onboarding
We learn your context, systems and constraints, and agree on a first set of priorities.
- 02
Monthly cycle
Planning, delivery, review. Each cycle ends with tangible results and a written report.
- 03
Steering
Regular steering meetings with your management and IT leadership.
- 04
Adjustable capacity
The team grows or shrinks with your roadmap, without hiring on your side.
Let’s discuss your AI department.
We will look at your current setup, your priorities and the capacity you need.