AI Innovation and Industrialisation Centre

Experimenting today with the use cases of tomorrow

Artificial Intelligence models, tools and use cases are evolving very quickly.

For Infotel, the objective is not to follow every new development, but to identify and test those that can genuinely improve information systems, projects and the way teams work.

The AI Innovation and Industrialisation Centre makes it possible to test new approaches, assess the latest model versions, design prototypes and prepare use cases that can then be integrated into the Group’s offerings and projects.

Vincent Boisrobert’s perspective

” Since 2024, we have been developing the AI Innovation and Industrialisation Centre to test new use cases, design agents and turn experiments into concrete solutions. Today, this work has already resulted in projects for more than 30 clients. Managed from Paris and supported by teams across the regions, the Centre continuously tests new models, tools and architectures. It enables us to keep pace with AI innovation and quickly turn the most relevant developments into solutions for our teams and clients. “

Vincent Boisrobert
Head of the AI Innovation and Industrialisation Centre

Technology monitoring driven by real-world needs

The Centre monitors developments in AI models, tools and architectures.

It tests new versions of LLMs, agent frameworks, RAG approaches and tools that can support the development, maintenance and operation of information systems.

Topics are selected when they address a need identified in projects, service centres or internal activities.

They are then tested on concrete use cases to assess their value, limitations and the conditions required for their use.

The Centre can then design prototypes, demonstrators or accelerators before deciding, together with the relevant teams, whether to take their development further.

A national organisation, close to the teams

The Centre is managed from Paris and relies on contributors and local teams across several regions.

Developers, architects, consultants, project managers and business experts contribute to its work from Paris, Lille, Rennes, Lyon, Toulouse and other Infotel offices.

This organisation provides common coordination while remaining close to teams, projects and locally identified needs.

Pilot projects can therefore originate in the field, be shared across regions and then be further developed at Group level.

One national centre, expertise across the regions

  • Coordination and management from Paris
  • Contributors and local teams across Infotel offices
  • Experiments shared across the Group
  • Expertise available close to projects

A community open to expertise from across the Group

The Centre brings together technical, functional and business profiles.

This diversity makes it possible to quickly assess new ideas against the real constraints of information systems, including security, data quality, integration with existing applications, maintainability and user adoption.

Infotel offices, service centres and project teams can raise needs, suggest topics and contribute to experiments.

Main areas explored

The Centre’s work notably covers:

  • augmented development;
  • application understanding and documentation;
  • application modernisation and migration;
  • agents and multi-agent systems;
  • business assistants;
  • information retrieval and document analysis;
  • automation of certain maintenance and operational activities.

This list evolves according to business needs, feedback and available technologies.

From experimentation to operational solutions

Selected use cases can then be integrated into different Group initiatives:

  • Infotelia for internal needs;
  • the AI Software Factory when they relate to delivery;
  • IAS when they address a client need;
  • the AI Campus to support adoption by teams.

The Centre prepares and tests use cases. Their deployment then depends on the results achieved, the context and the teams responsible for operational integration.

Test before industrialising

Initiatives follow a progressive approach.

Observe

Monitor technological developments and needs raised by teams.

Test

Assess a model, tool or approach within a limited scope.

Prototype

Build a demonstrator to assess feasibility and operational value.

Measure

Analyse the quality of results, potential gains and constraints.

Prepare for scale

Transfer components, methods and lessons learned to the teams responsible for operational integration.

Sharing skills across the Group

The Centre does not concentrate innovation within a single team.

It organises the sharing of work, methods and feedback across regions.

Local teams can contribute to topics, test solutions in their own environments and progressively develop their skills.

This organisation helps build a shared AI community while maintaining a direct connection with projects carried out in each region.

Preparing tomorrow’s use cases

The Centre helps Infotel maintain a direct link between innovation and operational reality.

It enables the Group to test new technologies, build on feedback and prepare use cases that can then be adopted by teams, platforms and Group offerings.