AI is not just a buzzword, it's a productivity lever. I help companies identify, design and integrate AI-based solutions (LLMs, RAG, agents) that deliver real ROI.
For whom?
Startups, SMBs and companies looking to automate tasks, improve customer service or create new intelligent products.
Use cases
Process audit and identification of AI use cases
Development of virtual assistants and autonomous agents
Integration of LLM APIs (OpenAI, Anthropic, Gemini)
Implementation of RAG (Retrieval-Augmented Generation) on your data
Team training on AI tools
Stack & Timeline
Technologies:
OpenAI API
LangChain / LlamaIndex
Vector Databases (Pinecone, Supabase pgvector)
Next.js + Vercel AI SDK
Python / TypeScript
Timeline:
2 to 8 weeks depending on POC complexity
Deliverables
AI audit report and estimated ROI
AI Proof of Concept (POC)
AI agent integrated into production
Technical documentation
Team training
FAQ
What is RAG? RAG allows an AI to answer based on YOUR internal documents, without hallucinating.
Is AI secure for my data? Yes, by using enterprise APIs (which do not train on your requests) and private vector databases.
How much does LLM usage cost? The cost per request is very low. The real investment lies in the design and integration.
AI Consulting & Audit (CTO as a Service) | Julien Jnnqin