A documentary assistant
Select the documents and procedures that answer the team’s recurring questions.
Partner programme · Business advisers
AI adviser: make the company’s knowledge useful.
Starting from everyday problems makes AI concrete: finding a procedure, drafting minutes, passing on a method. That is an AI adviser’s work.
Use cases within your reach
AI adviser: start where your expertise counts.
Better-prepared tasks
Support the drafting of summaries, letters and minutes, with human approval.
Adoption that lasts
Train the users, set the rules and let the corpus grow with the company.
Your service offering
AI adviser: engagements the client understands.
Diagnosing the need
Choosing a first scope and identifying the sensitive data.
Getting started and training
Building the base and getting to grips with it on real situations.
Ongoing follow-up
Reviewing the uses, refreshing the content and extending to other departments.
How the client progressesOne base, then several.
See the client's plansOne base, then several.
Your support follows the need.
The client starts on Simple. A new team or a public-facing use may justify a separate corpus. The calculator compares plans according to the bases and users required.
La plateforme et vos prestations restent lisibles.
Le client identifie son abonnement et le travail que vous réalisez. Les modèles, les traitements sensibles et les actions externes sont cadrés avant activation.
Comprendre les rôles partenairesFrequently asked questions
What you want to know about the AI adviser role.
Which need should we start with at a client?
With a task you can observe: a question that keeps coming back to support, minutes that take too long to write, a procedure nobody can find. A narrow scope gets going quickly and can be measured.
Do I need to know about language models?
What you mainly need is to ask the right questions about the data: where it comes from, who may see it, what must stay out. Choosing the models comes afterwards, with our support.
What form does the support take?
Scoping, getting started, then follow-up. Companies rarely give up over the technology: they give up when nobody picks up the sources or the uses again after a few months.
AI adviser: let us look at your first client project.
A conversation to identify the right path and the skills to bring in.
