People talk a lot about AI agents, but you rarely see what they concretely do inside a French SME. Yet from law firms to travel agencies, French companies are already using autonomous agents to answer customers, sort documents, or screen candidates. In 2025, 18% of companies with more than 10 employees reported using at least one AI technology, up from 10% a year earlier (INSEE, July 2026, France's national statistics institute). Here are 15 real, sourced or documented examples, to show you what's already being done — and what your company could do.
Key Takeaways
- 18% of French companies with more than 10 employees used AI in 2025, up from 10% in 2024 (INSEE, 2026)
- An AI agent isn't just a chatbot: it carries out tasks end to end without constant human supervision
- Concrete cases already cover customer service, legal, accounting, real estate, recruitment, and logistics
- The cost of a first agent ranges from a few hundred to a few thousand euros depending on complexity
- The local no-code angle lets you deploy an agent without a developer and without handing your data to a third-party cloud
What is an AI agent, in two sentences?
An AI agent is a program that reasons, decides, and acts to carry out a complete task — not just generate text. It reads your emails, sorts them, drafts a reply, and saves it as a draft. It takes a customer call, checks your knowledge base, and answers in natural language. In short, it does the work, not just suggestions.
If you want to dig into the definition before diving into the examples, read our complete guide: What is an AI agent?.
15 examples of AI agents already in production
The cases below are drawn from experience reports documented by Bpifrance and France Num (French public bodies that support small businesses, reporting on the SMEs they've assisted), from public testimonials, and from our own practice at NexeAI. Each example is a task an AI agent carries out today in a French company.
1. Conversational booking agent - Selectour
Selectour, a travel agency network (nearly 1,000 agencies, €2.7 billion in revenue), deployed a B2B and B2C conversational agent in six months, for a budget of €20,000 to €60,000. Result: 70% of bookings on the site go through the virtual agent, and 110,000 conversations have been logged since it went live at the end of 2025 (source: France Num / Bpifrance).
2. Classifying and replying to customer requests - Peugeot Saveurs
Facing a surge in requests after COVID, this maker of culinary products (€38.6 million in revenue) deployed an agent that automatically classifies incoming requests and pre-drafts replies, drawing on the history of past exchanges. The agent is connected to logistics providers' APIs to pull in order-tracking data. Result: first-response time was cut in half, dropping from 4 days to 2 days between 2024 and 2025 (source: France Num / Bpifrance).
3. A suite of internal agents - Lucernys
This digital transformation consulting firm (€12.4 million in revenue) built an internal portal giving access to several agents: a chatbot, a security audit tool, a tender-response analysis tool, and CV screening and scoring. All employees have access. Measured gains include better CV screening, higher-quality automated reports, and an improvement in quality of life at work (source: France Num / Bpifrance).
4. Voice agent for booking appointments - a medical practice
A medical practice built in an AI voice agent capable of answering patient calls, checking real-time availability, and booking an appointment in the calendar — without any receptionist picking up. This type of agent is especially relevant for independent healthcare professionals, where time spent on the phone eats into consultation time.
5. Legal document analysis - a law firm
A French law firm deployed an agent that reads pleadings, contracts, and case law, then pulls out the passages relevant to a given case. The agent doesn't replace the lawyer: it does the groundwork of reading for them so they can focus on strategy. The local angle is crucial here: client data never leaves the firm's infrastructure. See our dedicated page: AI for the legal sector.
6. Bank reconciliation and accounting entry - an accounting firm
An accounting firm automated bank reconciliation and supplier invoice entry via an AI agent. Processing a paper invoice manually costs on average €13.80; digitizing it brings that down to €6.60 (source: DIMO Dématérialisation). Across 1,000 invoices a month, the savings exceed €7,000 a month.
7. Automated property valuation - a real estate agency
A real estate agency uses an AI agent that cross-references DVF data (France's public database of recorded property sale prices), online listings, and the property's features to produce a priced, reasoned valuation within minutes. The agent also generates a PDF report ready to send to the seller. What used to take half a day of research per property now takes the time of a click. More details on our page: AI for real estate.
8. CV pre-screening - HR department
An AI agent analyzes incoming CVs, compares them to the job description by semantic similarity (not just keyword matching), flags inconsistencies (date gaps, overqualification), and produces a three-line summary for the hiring manager. Hiring commonly costs several thousand euros in France; automated pre-screening sharply cuts the time spent on this first step.
9. Smart sales follow-up - an industrial SME
An AI agent connected to the CRM identifies customers inactive for 90 days, drafts a personalized follow-up email with the right product based on purchase history, and saves it as a draft for approval. The sales team only has to review and click "Send." Time spent on administrative follow-ups drops accordingly.
10. Onboarding agent - a consulting firm
A consulting firm deployed an agent that welcomes each new client: it sends the scoping questionnaire, automatically schedules kickoff meetings, and generates the project file in the management tool. What used to take two hours of administrative work per new client is now fully automated.
11. Automated competitive monitoring - an e-commerce SME
An AI agent scans competitor sites, marketplaces, and social media daily to detect price changes, new products, and promotions. It produces a one-page report in Slack every morning. The marketing team saves an hour a day and no longer misses a competitor's move.
12. Drafting meeting minutes - a local government body
A local government body deployed an agent that transcribes municipal council meetings, pulls out the decisions made, and generates a structured summary ready to be published. The agent runs locally, so recordings never leave the body's servers — a confidentiality requirement.
13. Internal IT support agent - a services SME
An AI agent connected to the internal knowledge base answers employees' questions about procedures, tools, and access. It automatically escalates to the IT department the requests it can't handle. This type of agent absorbs a large share of tier-1 tickets, freeing the IT team for higher-value projects.
14. Production data analysis - an industrial SME
An AI agent connected to sensors on the production line detects anomalies in real time and alerts the maintenance manager before a breakdown occurs. This is known as predictive maintenance, and it's now accessible without a data scientist thanks to no-code agents.
15. Managing customer reviews - a multi-site restaurant owner
An AI agent monitors reviews on Google, TripAdvisor, and TheFork, sorts them by sentiment and urgency, and pre-drafts a personalized reply. The restaurant owner approves with one click. The review response rate can approach 100%, which directly affects the average rating.
How much does it really cost?
The cost of an AI agent depends on three parameters: the number of tools it needs to connect to (CRM, ERP, email...), the complexity of the reasoning (a simple decision tree versus a nuanced legal analysis), and the volume of data to process.
Here are the rough figures observed on the French market in 2026:
| Type of agent | Indicative budget | Setup time |
|---|---|---|
| Simple agent (follow-ups, email classification, FAQ) | €2,000 - €5,000 | 2 to 4 weeks |
| Intermediate agent (document analysis, CV pre-screening) | €5,000 - €15,000 | 4 to 8 weeks |
| Complex agent (connected to several APIs, advanced reasoning) | €15,000 - €60,000 | 2 to 4 months |
These budgets include design, development, testing, and rollout. They don't include any subscriptions to AI models (LLMs) — roughly €20 to €200 a month depending on volume.
For an SME still unsure, our recommendation is to start with a simple agent on a limited scope: one task, one tool, one measurable result. That's the method we apply in our AI audit and consulting engagements.
FAQ
Is an AI agent really different from a chatbot?
Yes. A chatbot just answers questions from a knowledge base. An AI agent acts: it can read your emails, draft a reply, update your CRM, and schedule an appointment — all chained together without human intervention. The chatbot is a front desk; the agent is a digital coworker.
Do you need to be a developer to build an AI agent?
Not anymore. No-code platforms like n8n and Make, or custom solutions deployed by agencies like NexeAI, let you build agents without writing a line of code. The challenge is no longer technical: it's in defining the process to automate and the quality of the data you feed the agent. Check out our complete guide to building an AI agent.
Is my data safe with an AI agent?
It all depends on the infrastructure. Most consumer solutions (ChatGPT, Claude, Gemini) process data on cloud servers, which raises a confidentiality issue for regulated professions (lawyers, accountants, doctors). The alternative is local AI: the agent runs on your own servers, and the data never leaves your company. That's the approach we favor at NexeAI, in line with the GDPR and the European AI Act.
What's the return on investment of an AI agent?
ROI is measured in hours freed up and errors avoided. Example calculation, using the average costs found by DIMO Dématérialisation (€13.80 per paper invoice, €6.60 per digitized invoice): across 1,000 invoices a month, the gap adds up to more than €85,000 a year. A CV screening agent that saves 5 hours per hire, across 20 hires a year, frees up the equivalent of 2.5 weeks of work. The ROI on a well-targeted first agent plays out over a few months.
Where do I start if I've never used AI?
Start with an audit of your processes. Identify the repetitive task that wastes the most of your teams' time. Then test it on a reduced scope. That's exactly what we do in our AI training courses and our consulting engagements: we help you choose the right first project, one that delivers a visible result within a few weeks.
Conclusion
AI agents are no longer a distant promise. French SMEs are already using them to answer their customers, sort their documents, screen their candidates, and analyze their data. And contrary to what you might think, a first agent doesn't cost a fortune: a simple project runs into the thousands of euros, not the hundreds of thousands.
The question is no longer "can AI be useful to me?" but "which process should I automate first?" If you'd like our help answering that question, contact us for a no-commitment conversation.
