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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 put AI agents to work for real — wired into the Microsoft tools you already use every day (Teams, Outlook, your business databases). 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. Industrialise

    AI agents and workflows shipped to production inside your IT system, with guardrails, traceability and human validation — then 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.
  • Human validation on sensitive decisions (human-in-the-loop).
  • GDPR-compliant hosting and data processing, in Europe.

02 — Case studies

Real systems, in daily use

Two examples of what 'AI in production' means in practice: complete chains running daily, wired into a real IT system.

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

[ industry — anonymised ]

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
  • 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

[ public web platform ]

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.

  • 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.

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 & automation — fixed fee

The agents on the roadmap, built and shipped 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 automate it all the way into your line-of-business apps — where Copilot stops.

05 — About

Yann Gilliot, founder of GiLabs

Yann Gilliot

Founder of GiLabs

15 years of software architecture in the Microsoft ecosystem (.NET, Azure, SQL Server). 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 architecture
  • 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