Annecy has the talent and the industry. It's missing the AI bridge.

Annecy sits on a strange paradox. You've got Sopra Steria's headquarters down the road, Ubisoft building games with cutting-edge tech, Dassault Aviation doing aerospace in Argonay. The tech DNA is there. But walk into most local SMEs and the AI conversation stops at 'we tried ChatGPT once.'

The Arve Valley alone has 600+ precision machining companies. Quality control, predictive maintenance, production optimization. These are textbook AI use cases. NTN Europe runs 2,800 people making precision bearings and could slash downtime with predictive models. Entremont processes thousands of tons of cheese and still relies on manual production tracking. The potential is sitting there, untouched.

Tourism employs over 31,000 people around the lake. Hotels still answer the same 15 questions by email every day. Booking personalization is nonexistent. Meanwhile Salomon has a mountain of product data that could feed recommendation engines and demand forecasting. The gap isn't between big and small companies. It's between companies that have deployed AI and companies that are still 'thinking about it.'

And with 120,000 cross-border workers commuting to Switzerland, half the businesses here operate bilingually. Multilingual document processing, automated translation workflows, bilingual customer support bots. These aren't futuristic ideas. They're problems you can solve today with the right integration.

What I do for businesses in Annecy

AI audit and maturity assessment

Before touching any API, I look at how your company actually operates. A machining shop in Cluses has different needs than a hotel group in Annecy-le-Vieux. I map your processes, identify high-ROI use cases, and tell you straight which ones are worth pursuing. If your best move is a spreadsheet formula instead of a language model, I'll say so. Knowing the difference is what an AI consultant is for.

LLM and API integration

I connect language models to your existing tools. Internal chatbots trained on your technical documentation. Automated quality reports for production lines. RAG systems that let your team query company knowledge instead of digging through shared drives. For a precision parts manufacturer, that might mean an AI reading inspection reports and flagging anomalies. For a tourism operator, a multilingual chatbot that handles bookings in French, English, and German without a human in the loop.

Training and adoption

Your engineers at NTN or your seasonal staff at a lakeside hotel don't need a lecture on transformer architecture. They need to know how to use the tool, write effective prompts, and recognize when the AI is making things up. I train end users on the specific system we built. When I leave, your team runs it. Autonomy, not dependency.

How it works

1. Initial call (free, 30 min)

We talk about your situation. Your tools, your pain points, your ambitions. No slides, no sales pitch. If AI isn't the right answer for your case, I tell you. Nobody's time gets wasted.

2. AI maturity audit

I map your processes and your data. I identify high-ROI use cases that are realistic with your current stack. You get a clear deliverable: what to do, in what order, with an estimated budget.

3. POC then deployment

We start small. A working prototype on a concrete use case, tested by your teams. If it works (and only if it works), we move to deployment. No six-month development tunnel before seeing a result.

4. Training and autonomy

I train the end users. Not a three-day theoretical training on 'the history of artificial intelligence.' Concrete stuff: how to use the tool, how to write good prompts, how to spot when the AI is wrong.

Tech stack

OpenAI APIClaude APILangChainRAGPythonn8nGoogle Apps Script

Frequently asked questions

You're based in Tbilisi. How does remote work for Annecy companies?

Same timezone as France (Georgia is UTC+4, two hours ahead). I work with European clients daily. Video calls, shared repos, async updates. For the audit phase and training, I can be on-site if needed. But most of the integration work is code. Code doesn't care where the keyboard is.

How much does an AI project cost?

Depends entirely on the scope. A focused chatbot integration can be a few days of work. A full AI maturity audit plus deployment takes a few weeks. I bill by day or by project. The discovery call is free precisely so I can understand your situation before quoting anything. And if the honest answer is 'this isn't worth the investment right now,' you'll hear it.

Why not go with Sopra Steria or another ESN for AI?

You can. If you need a 30-person team and an 18-month timeline, a big ESN makes sense. If you need someone who builds AI integrations personally, ships fast, and doesn't pad the project with junior consultants learning on your budget, that's where I come in. No account manager. No bench rotation. You talk to the person who writes the code.

Is AI relevant for a small machining company in the Arve Valley?

Absolutely. Quality control image recognition, predictive maintenance on CNC machines, automated quoting from technical drawings. These are proven use cases, not lab experiments. A 50-person machining shop can get real ROI from a targeted AI integration. The key is picking the right use case first, not trying to 'do AI' everywhere at once.