Where should an SME start with AI?
Identify the tasks that waste time, test on a limited scope, then roll out what works.
Specialised services are among the most advanced sectors (60% of businesses use AI according to France Num 2026). But use is often limited to a chat assistant: the real gain comes from AI built into your processes.
Concrete use cases
Automate repetitive tasks
Data entry, email sorting, meeting notes, CRM updates.
An internal assistant connected to your documents
Your teams query procedures, contracts and customer history in plain language.
AI and GDPR
Choose the right tools and hosting so that no sensitive information is exposed.
Meeting notes and action tracking
After each meeting, a clear summary with decisions and tasks for each person, sent to the team and added to your tools.
Faster sales proposals
Using your templates and past proposals, AI drafts a first version tailored to the client. You adjust it instead of starting from scratch.
What it changes day to day
- Time given back to your teams on low-value tasks: data entry, sorting, formatting.
- Information that is easier to find: procedures, contracts and client history available with a single question.
- AI use that is properly framed: the right tools, clear rules, protected data.
- You stay in control: AI prepares, you approve before anything is sent.
- A gradual rollout: we start with one use case, measure, then extend what works.
How much does it cost?
Every project starts with a 2 to 4-day scoping phase (€1,600 to €3,200) to check what is feasible with your tools and price it precisely. A first prototype tested on your real documents takes 1 to 2 weeks on average (€4,000 to €8,000). You then decide, with full knowledge, whether to go further.
Estimate my project in 2 minutes →How I work
A short scoping phase, a prototype tested on your real cases, then production: you approve every step.
Frequently asked questions
Where should we start?
With the repetitive tasks that take your teams the most time. Scoping is precisely about identifying them and choosing the first use case with the most impact.
Our teams already use ChatGPT, isn't that enough?
It's a good start, but the real gain comes from AI connected to your documents and tools, with clear rules on what data can go into it.
Do we need an in-house technical team?
No. I handle design, development and deployment, and I train your teams to use the tools.
What about my customers' data?
The data remains your property. I advise you on hosting (in Europe and GDPR-compliant, or elsewhere depending on your needs), but you decide, and no data is used to train an AI model.
Do you work on site?
Yes, in Landes (40), Pyrénées-Atlantiques (64) and Nouvelle-Aquitaine for key meetings; the rest of the work is done remotely, anywhere in France.
Further reading
A project in your industry?
Based in Landes or Pyrénées-Atlantiques? →
Other industries : Trades and construction · Hotels, restaurants and holiday rentals · Accounting firms · Real estate · Retail and e-commerce