Networks & sector expertise

AI for sector networks: a shared method, separate data.

Give your members a framework for supporting their clients: AI across a sector network rests on training, demonstrations and reference material that can be reused.

Across the network

AI for sector networks: passing on a method without mixing the companies.

The network head

Sets the training path, the materials and the references that may be circulated.

The adviser or the agency

Rolls that method out to its clients, within the scope of its engagement.

The client company

Keeps its own space, its data, its subscription and the rights it grants.

Reference material worth having

AI for a sector network: your expertise becomes
a shared footing.

A sector reference base can complement the knowledge specific to each company, according to the rights granted and what the project allows.

Shared references and clients’ documents must stay distinct. Circulating a corpus means settling its licences, its audiences and its upkeep.

The network programme to frame

  • Training and support for members.
  • Scope of the base and assistant templates.
  • Rights to use the sector references.
  • Following the rollout, with no implicit access to documents.
  • Dedicated commitments and commercial terms.
Frequently asked questions

What you want to know about AI for sector networks.

Is members' data kept separate?

Yes. Each company has its own space and its own bases. The method and the reference material are shared; clients’ documents are not.

Who trains the network members?

The network head carries the method; we support the initial training and the sector demonstrations. The aim is for the network to become self-sufficient on scoping.

Can we start with a pilot group?

That is the safest way to begin: a few willing members, two or three precise needs, success criteria agreed in advance and reviewed together.

Let us build a first pilot rollout.

A group of members, a few precise needs and shared success criteria.

RDV démo

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