Architecture & integration
Clarify the foundation, flows and dependencies without weakening operations.
Expert AI & systems integration consultant
AI and systems integration, led by 25+ years of engineering
Architecture, business automation and systems integration, from scoping to operations.
Based in France, working remotely across Europe, ANZ and the Pacific.
25+ years
of systems engineering
Remote
France, Europe, ANZ, Pacific
POC → production
industrialisation and operations
Progressive rollout
built around your existing tools
Intervention
Four levers to turn a vague AI idea into an operable system
Business automation
Target repetitive work and validation loops that slow teams down.
Grounded AI
Connect assistants to internal sources with traceability and human control.
Technical direction
Drive decisions and execution with one senior technical counterpart.
Expected outcomes
Practical goals to define and measure together
Save time
Automate repetitive tasks and document preparation.
Streamline processing
Organise workflows and approvals within your existing tools.
Reduce data re-entry
Move data between your applications.
Simplify approvals
Structure decision workflows and notify the people involved.
Handle requests better
Make information accessible and organise customer feedback follow-up.
Test before scaling
Validate a prototype on a concrete use case before expanding.
Method
A short, measurable and reversible trajectory
Scoping
Identify objectives, risks, data, dependencies and success criteria.
POC
Validate a verifiable scope and prepare a progressive rollout.
Industrialisation
Stabilise flows, roles, controls, traces and systems integration.
Operations
Measure, correct, document and hand over an operable setup.
Solutions
Put AI to work with your documents and data
gentleRAG: connect AI to your internal knowledge
From experimentation to a platform in production: index your documents, supervise processing and answer with citations (sourced, verifiable and controlled).
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Control cockpit
Track folders, processing, exclusions, errors and progress indicators.
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Indexing pipeline
Extraction, OCR, chunking, embeddings and reference synchronisation.
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Sourced search
Search and restitution with citations, freshness and controlled scope.
gentleData: enrich your business data with AI
Products, companies, suppliers, customer feedback and content: complete, classify and standardise your data. You choose the useful enrichments and stay in control of the results.
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Sources you control
Choose the information AI uses and the instructions for each field.
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Results you review
Review flagged values, check their history and make corrections when needed.
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Costs you can see
Track estimated costs to understand your AI usage and adjust processing.
About
One senior counterpart, over 25 years of experience
I support business and IT leaders on AI, automation and systems integration. From national accounts to SMEs, with the agility of one dedicated senior counterpart.
25+ years
of systems engineering & delivery
30
engineers managed
+€4M
revenue managed per year
100+
clients supported in moving to M365 / Azure
PROJECTS FOR MAJOR NATIONAL COMPANIES AND SMEs
- 1997–1999 L’Oréal · AP-HP · Jussieu
- 2001–2014 Bouygues Telecom Entreprises
- 2002–2006 Hilti · MNEF · French Customs
- 2013–2014 TF1 · Mazars · École Polytechnique
- 2015–2025 Groupe ABI · Optimium NC
- Since August 2025 gentleStacks
Sectors
Contexts where integration matters as much as the idea
- B2B services
- Public institutions
- Telecoms
- Healthcare
- Industry
- Education
- Finance & insurance
- Multi-site organisations
Articles
Two reads to frame AI and automation properly
Next step
Do you have an AI, automation or systems modernisation topic?
The useful next step: frame objectives, data, risks and expected gains.