Freelancer profile translated to English.
Back to original languageAbout Geoffrey
Anthropic Certified: Claude Partners Network · MCP, Building with the Claude API, Introduction to Agent Skills, Introduction to Model Context Protocol.
I founded Demooz in 2013, led it as CEO, and sold it in 2021.
Since then, over a decade of running operations and teams in real-world conditions. Today, I dedicate this experience to one thing: deploying AI agents that actually go into production.
Because the real challenge isn't getting Claude to respond. It's connecting it to your tools, your data, and your processes so it acts correctly, every day, without supervision.
I dogfood what I sell.
How I work:
Scoping.
We identify the use case with real ROI and discard those that will never make it to production. The majority of AI projects fail here, not on the technical side.
Building.
Claude agents connected to your systems via the MCP protocol, custom MCP servers, RAG on your data (Supabase, vector databases), Claude Skills by use case. When no-code is sufficient, I orchestrate with n8n or Make. When it's insufficient, I code (Node.js, Claude API).
Deployment.
Observability with Langfuse, regression tests on critical prompts, steering dashboards. An agent that isn't measured isn't in production, it's a demo.
Transfer.
An agent is worthless if your teams don't use it. I train, I document, I remain available.
My real differentiator: I know how to read a P&L, define KPIs, structure a team.
When I deploy an agent, I know what it needs to change in your business and I measure it. A developer delivers code. I deliver operational results.
What I don't do: POCs to reassure a committee. If the AI doesn't go into production and isn't measured, the project never happened.
Contact me
English
Native or bilingual
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- Le Plein
On Malt
Head of SupportAUTOMOBILEOctober 2022 - February 2026 (3 years and 4 months)Paris, FranceFounding team member at Le Plein.I built customer service and operations from scratch, then deployed AI agents to scale them reliably.**→ Quality Monitoring AI Agent**: Deployed a Claude agent analyzing all conversations handled by our call center provider. The agent evaluates each advisor, identifies the customer's issue and the solution provided, and generates targeted improvement areas. Quality control shifted from a manual sample to 100% call coverage.**→ Data Integration AI Agent**: Agent automating the parsing of KPIs transmitted by the call center provider and their integration into our steering dashboard, replacing manual consolidation.**→ Structuring**: Built customer service from a simple PowerPoint and a team of 5 to an operational organization of 20. Processes, tools, KPIs, and customer service guidelines.**→ Scaling**: 30+ stations in service and 600 in deployment, structured support to handle national rollout in a multi-stakeholder context.Stack: Claude, Claude Code, AI agents, automation, KPI dashboards. - NutrimuscleHead of Customer ServiceE-COMMERCEMarch 2022 - April 2022 (1 month)Paris, France4+ month mission supporting the customer service team.- Team management of advisors- Zendesk optimization- Agent training- Daily best practices- Team rituals and continuous improvementObjectives:- Increase satisfaction (CSAT)- Empower agents through training
- Etoffe.comFront Audit and Deployment MissionE-COMMERCEJuly 2021 - August 2021 (2 months)Paris, FranceAudit of the customer service and recommendation of a collaborative tool (Front) following my in-situ analysis of how support teams work.Deployment of Front, meticulous setup, unification of incoming mailboxes, definition of new SOPs and team training.
Reviews
Recommendations
FU
FU
+4
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Education
- Computer Science Engineering DegreeInstitut d'Ingénierie Informatique de Limoges2010
- Master in Strategic Innovation ManagementToulouse School of Management2014