What we build

Internal AI assistant

An internal AI assistant is a conversational tool trained on your own documents — procedures, contracts, spec sheets, project history — and hosted on your infrastructure. It answers your teams' questions from your own content, without any document leaving the company.

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The difference from a consumer tool fits in one sentence: this one knows only what you give it, and what you give it goes nowhere. That is what makes the exercise possible in a company handling quotes, employee files or client contracts.

In practice the value isn't in the conversation — it's in the time your people stop losing to searching. The question "what's our procedure when a client asks for a refund after 30 days" has a written answer somewhere. The problem is that finding it takes eleven minutes, so the person asks a colleague instead, who stops what they were doing.

When an internal assistant is justified

Your teams ask the same questions repeatedly and interrupt the same people to get answers
Your procedures exist but are scattered across an intranet, PDFs and two employees' memory
Onboarding a new hire takes weeks because the knowledge isn't reachable
You can't hand your documents to an online service, for confidentiality or compliance reasons

When it isn't

If your documentation is thin or out of date, an assistant will only amplify the problem: it will answer confidently from wrong content. In that case the real project is the documentation, not the AI. We'd rather tell you than sell you a tool that will work against you.

What gets delivered

An assistant reached through a browser, using your organisation's accounts and permissions
Indexing of your documents in the formats they're already in — PDF, Word, spreadsheets, internal pages
Answers that cite their source, so the user can verify
Your choice of hosting: your server, your cloud, or an isolated instance
The source code and the procedure for re-indexing content when it changes

The questions we get

Frequently asked questions

Are our documents used to train a model?

No. Your documents are indexed so they can be consulted at question time, not fed into model training. That is an architecture decision, and it is written into the contract.

What if the assistant makes something up?

Every answer cites the passages it relies on, with a link to the source document. When nothing relevant is found, the assistant must say it doesn't know — that behaviour is configured explicitly, not hoped for.

How many documents make it worthwhile?

It isn't the count that matters, it's how often questions come up. Fifty procedures consulted daily justify the tool; two thousand documents nobody opens do not.

Does it work in French and English?

Yes, including on a mixed-language corpus. A question asked in French can find its answer in an English document, and the assistant replies in the language of the question.

Free assessment

Find out which AI product is actually worth building at your company

In 60 minutes you leave with a reading of your processes, the opportunities that justify a product, and an order of magnitude for cost and timeline. No commitment.

A map of your processes and where the bottlenecks are
Where AI genuinely changes something — and where it adds nothing
An estimate of the hours you could recover
Preliminary technical architecture and an order of magnitude for cost
A 90-day development plan, delivered within 48 hours of the meeting

Rather write to us?

What happens after you send

We reply within 24 business hours.
We book 60 minutes, by video call or phone.
You get a written plan within the following 48 hours.
No sales pitch, no persistent follow-up.

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