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[ AI transformation · SMEs, mid-caps & professional firms ]

AI that frees up your team's time. The gain in hard euros, before you automate anything.

We map your processes, then I build what needs building: AI agents, business applications, automations, wired into the Microsoft tools you already use every day (Teams, Outlook, your business databases). I don't just advise, I write the code and ship it. No demo that ends up in a drawer.

Let's talk about your processes

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See the method ↓

01 · Method

The same path for every client

Start from business processes, put numbers on everything before automating, ship to production. AI is the means, never the starting point.

  1. Map

    A workshop with leadership and operational teams: where the hours go, on which documents, in which tools (M365, SQL Server, line-of-business apps).

  2. Prioritise

    An impact × effort matrix and a costed 90-day roadmap. We only automate what has a demonstrable return. Bad ideas are ruled out, in writing.

  3. Build and industrialise

    AI agents, business applications and workflows built then shipped to production inside your IT system, with guardrails, traceability and human validation. And supervised over time.

Non-negotiable principles

  • We automate processes that are understood and measured, never hunches.
  • Wired into your existing Microsoft estate, no parallel platform to maintain.
  • What gets built is yours: your code, your repo, your infrastructure.
  • Human validation on sensitive decisions (human-in-the-loop).
  • GDPR-compliant hosting and data processing, in Europe.

02 · Case studies

Real systems, built, shipped and in daily use

Two examples of what 'AI in production' means in practice: one integration into an existing IT system, and one web platform built from scratch. In both cases, code I wrote myself, running every day.

Diagram of the document AI pipeline: ingestion, AI extraction, human review, transactional import

[ industry · anonymised · systems integration ]

Document AI pipeline

Two people were tied up full-time re-keying hundreds of paper timesheets by hand every month. Today, AI reads the documents for them: it extracts the data automatically, a human validates in a few minutes per batch, and everything flows straight into the business database, with no duplicates and no half-finished entries.

  • ≈ 2 full-time roles of manual re-keying redeployed to higher-value work, data-entry errors all but eliminated
  • Built in .NET inside the existing estate: validation interface, business rules, transactional import
  • AI proposes, humans validate: never a 100% automatic import
  • The system learns from corrections: quality improves with use
  • Wired into the existing estate: network folders, directory, business database
Read the full case →
Diagram of the Convention Online AI chain: collection, AI enrichment, generated visuals, publishing

[ web platform · built from scratch ]

Convention Online · professional events

A worldwide directory of trade shows and congresses that enriches itself every night: the AI collects the events, writes their descriptions in 4 languages and even generates the visuals, with no human input at all. Public site, back office and AI chain: all of it built from scratch.

  • A complete application built end to end: public site, back office, enrichment chain
  • Fully automatic: content and images produced every night, with nobody at the controls
  • Clean, structured data you can use directly: not rough free text
  • Runs unattended: recovers on its own after an incident
Read the full case → Visit the live site ↗

03 · Services

30-day AI diagnostic.

Before you spend a euro on AI, you know what it will return. In 30 days: your processes mapped and, for every priority use case, a return in hard euros, a payback measured in months, not promises. You leave with an investment decision, actionable with or without me. Then I build whatever you decide to launch.

The full diagnostic process →

Starting investment

Fixed fee, all-in

Scope and price agreed in writing before work starts, set against the tens of thousands a poorly scoped AI project burns. French SMEs: eligible for Bpifrance funding (Diag Data IA).

Book a conversation

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Guarantee: if the diagnostic surfaces no opportunity with a payback under 12 months, I refund half the fee.

AI agents & business applications · fixed fee

The agents and applications on the roadmap, built from the first line of code through to production in your IT system. Scope, price and acceptance criteria agreed before work starts.

See the service →

.NET AI integration · fixed fee

For mid-caps and software vendors with a .NET estate: AI developed inside your application and your SQL Server, not next to it.

See the service →

Maintenance & supervision · monthly

Supervision of agents in production, fixes and improvements as your needs and the models evolve. No long-term commitment.

04 · The Copilot objection

"We already have Copilot. Why you?"

Fair question. Copilot and I don't operate at the same level: it speeds up your teams inside Office, while I redesign the whole process and build what's missing, all the way into your line-of-business apps, where Copilot stops.

05 · About

Yann Gilliot, founder of GiLabs

Yann Gilliot

Founder of GiLabs, AI engineer

15 years designing and building enterprise systems in the Microsoft ecosystem (.NET, Azure, SQL Server). I'm an engineer first: I don't stop at recommendations, I write the code and put it into production. My differentiator: AI already running in industrial production, a document extraction pipeline (scans → Azure Document Intelligence + LLM → business rules → database) used daily, not a demo.

Based on the French Riviera, working across France: workshops on site or remote, implementation fully remote.

  • 15 years of .NET / Azure / SQL Server development and architecture
  • Complete applications delivered from the first line of code to production
  • Document AI pipeline in industrial production
  • Microsoft certified AZ-2005 (Semantic Kernel agents)
  • At home in demanding contexts: industry, banking, regulated sectors
Book a conversation

Contact on LinkedIn