Thomas L.

👉Client Problem:

Datadome, a leader in cybersecurity (250+ employees), wanted todemocratize the deployment of AI agentsacross its departments without creatingsecurity risksor IT dependency. Business teams needed to quickly create specialized AI agents, but the lack of centralized orchestration and governance prevented scaling.

👉Solution:

Installation of my **AgentOS per department**, transforming AI agent deployment into an autonomous and secure process. Each department receives its **orchestration meta-agent**, enabling the creation of specialized AI agents without technical expertise, with integrated governance.

👉Technical Achievements:

•AgentOSassists non-technical teams in creating specialized AI agents in minutes

•Integrated employee feedback system:capturing user feedback →AI agent iteration by admins in 2 minutesvia AgentOS.

•Native security governance:company rules, access controls, AI agent deployment validation without compromising Datadome's cybersecurity

•AI agent usage monitoring:Usage rate per department

•Agent-to-Agent Protocol (MCP)enabling multi-AI agent coordination between departments (Legal, Sales, Support, Engineering)

👉Results Delivered:

✅Department Autonomy:100% of business teams deploy AI agents themselves without IT bottlenecks thanks to AgentOS

✅Quality Maintained:90% AI agent potential through feedback loop → rapid iteration by admins via meta-agent

✅Proven Scalability:AgentOS architecture allows for AI agent fleet growth without increasing IT load

👉Client Problem:

Family & Co, a firm specializing in family businesses (15 people), manually managed complex processes: long sales cycles (1 month to 14 years), tedious legal document analysis, manual consolidation of qualitative interviews, and multiple data entries across 8 tools. These inefficiencies hindered growth and planned diversification.

👉Solution:

After a comprehensive audit of stakeholders, I built and deployed an ecosystem of interconnected AI automations, transforming their manual processes into intelligent workflows tailored to their unique methodology.

👉Technical Achievements:

Pappers.fr analysis pipelineautomating data extraction and decision-making for inclusion in the funnel.

Sales automation:Improved automatic prospect scoring, lead enrichment via Dropcontact / Lusha, industry monitoring with Pappers.fr automation, personalized email sequences, intelligent Zoho CRM workflows

Intelligent interview transcription system with AIfor thematic consolidation and automatic generation of executive summaries

Multi-level approval workflows with automatic Slack notificationsbased on project status

Keywords: AI Automation, AI automation, make.com, Artificial Intelligence, AI agents, AI Agents, Relevance AI, AI Agent, Zapier, Make, N8N, Automation, real estate automation, real estate automation, Dust, RAG, Make, AI Automation Agency

🧠PSŌM: Instagram Content Automation by AI Agents for a Psychonutrition Startup

PSŌM (formerly Origine Care) is a young deeptech startup founded by Dr. Guillaume Fond, a researcher specializing in psychonutrition. They develop scientific dietary supplements for brain health (L'Essentiel, Le Probiotique).

Their Problem:With a small team (<15 people), they spent 12-15 hours per week manually creating content for 2 Instagram accounts. This was not viable for a startup that needs to move fast, and it was difficult to maintain a "premium" visual consistency when everything was done manually under pressure.

I implemented a complete AI infrastructure that automates the entire Instagram content production chain, from A to Z.

An AI agent that orchestrates the entire workflow: Upon receiving the text post from the team, it triggers content creation, coordinates the generation of premium visuals via the Midjourney API, and then breaks down the text, automatically assigning it to carousel slides.

>> 13 hours per week saved. The team can focus on product development instead of making Instagram carousels.

All visuals adhere to PSŌM's brand guidelines and premium positioning.

The system runs autonomously and can handle 25+ posts per week if needed, without adding to the team's workload.

Ready to scale if PSŌM accelerates.

Sector:HealthTech / DeepTech / Psychonutrition

Keywords:AI Agent, AI Infrastructure, Instagram Content Automation, AI Visual Generation, Content Production Automation, Health Marketing Automation, AI Workflow Automation, Midjourney, AI Brand Content, Make.com, Dust.tt, Instagram Automation, Carousel Automation