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Automation & applied AI

Absorbing repetitive work without losing control.

We start from a task someone redoes every week, not from a demo. The assistant is bounded to a precise scope, wired into your data, and a human always approves anything binding.

Automation & applied AI
Starting pointAutomation & applied AI
A clear entry point Shared decisions Deliverables listed
Who it is for

Useful when the subject touches the core of your business.

A team retyping the same data A volume of documents to read or sort Repetitive customer requests
How it unfolds

A readable sequence so you stay in control.

Each stage ends in a shared decision. You know what has been settled, what is still open and what that means for the rest.

01

Choose

One measurable case only: document search, extraction, quoting or support. The rest waits.

02

Connect

Read-only connection to your documents and tools, sourced answers, a bounded scope.

03

Set the limits

Human approval on sensitive actions, a log of exchanges and retention rules.

04

Measure

Answer quality, capped costs, time actually saved — or we stop if the gain is not there.

Deliverables

What you actually walk away with.

Everything produced belongs to you: the code, the credentials, the documentation and the written decisions. Nothing is held back as leverage.

Usually built with
Python PostgreSQL Docker OpenAI Mistral pgvector
01

A scoped use case

02

An assistant connected to your data

03

Guardrails and a log

04

A GDPR file

05

A cost dashboard

06

Training

Development under way
During the project

You watch the product move forward, not a percentage.

Each batch ends on a real environment where you click through it yourself. A progress report never replaces a screen that works.

Scope the perimeter

Shall we clarify your need?

The most useful thing at this stage is knowing what has to be proven first. Write and tell us where you are.