Thibaut Audeguy

I help companies in the concrete integration of generative AI to automate their processes, exploit their data, and create truly useful intelligent agents for daily use.

Specializing in LLM, RAG, and AI agent architectures, I assist organizations in transforming their documentary workflows and business tools through solutions combining generative AI and automation.

I am involved in the design and implementation of complete systems: business assistants, autonomous agents, document processing pipelines, and automations capable of interacting with your existing applications.

Examples of missions

• Integration of generative AI into business applications (ChatGPT, Mistral, LLM)

• Design of AI agents and multi-agent architectures

• Implementation of RAG pipelines: vectorization, semantic search, vector databases

• Development with LangChain and AI orchestration frameworks

• Automation of business workflows (n8n, Zapier, APIs)

• Creation of MCP connectors to interface LLMs with tools and databases

• Deployment of internal AI assistants and decision support systems

My approach favors pragmatic, robust, and directly usable solutions in production, with particular attention to the quality of responses, knowledge structuring, and integration into the company's existing environment.

Objective: Transform generative AI and automation into a true operational lever.