Let's talk about your
transformation.

The audit runs in 3 phases over 15 to 30 minutes. Phase 1 — Process mapping: we identify your most time-consuming and repetitive workflows (manual data entry, email sorting, report generation, customer request handling…). Phase 2 — Opportunity assessment: we pinpoint exactly which type of AI agent can automate what, and provide a realistic estimate of time and cost savings. Phase 3 — Roadmap: you leave with a structured document listing the 3 priority actions, the technologies suited to your context, and an indicative budget estimate. No sign-up, no sales pitch, no commitment.

Not at all. We work with three distinct maturity profiles: (1) Decision-makers and managers — our 2-day programme gives them the strategic understanding of AI with zero code: how to evaluate an AI project, estimate ROI, choose the right tools and lead a transformation. (2) Technical teams — our 3-day programme trains them to design and deploy real autonomous agents in production: LangGraph, CrewAI, RAG, API integrations. (3) Mixed organisations — our full 5-day programme transforms both levels in parallel with a working prototype delivered at the end of the session. Your current level is simply our starting point.

Timelines vary by project type: an AI chatbot on your website can be live in 2 to 4 weeks. An internal workflow automation agent (document processing, automated reports) typically takes 4 to 8 weeks. A RAG system connected to your internal data (PDFs, CRM, ERP): 3 to 6 weeks. A custom AI SaaS or complex multi-agent pipeline: 2 to 4 months depending on complexity. Our training programmes generate productivity gains from day one — some participants automate their first tasks the very same evening.

Data security is our absolute priority. We operate with multiple layers of protection: (1) Deployment on your own servers or private cloud — your data never leaves your infrastructure. (2) Optional use of open-source AI models running locally (Llama, Mistral, Qwen) if your regulatory constraints require it. (3) NDA signed before any exchange of sensitive data. (4) No client data is ever used to train third-party models. (5) RAG architecture: your documents stay in your private vector database. We can also support you in achieving GDPR and ISO 27001 compliance for your AI systems.

The distinction is fundamental. A classic chatbot follows a fixed decision tree: if the user says X, respond Y. It does not truly understand natural language and cannot act outside its predefined scripts. An AI agent, on the other hand, understands context, reasons step by step and acts autonomously: it can query your databases in real time, draft and send emails, create folders, update your CRM, call external APIs or coordinate other agents. It is the difference between a static auto-responder and a virtual collaborator capable of managing complex tasks end to end.

Yes — this is one of our core specialities. We connect our AI agents to your existing systems via their APIs: Salesforce, HubSpot, SAP, Microsoft 365, SharePoint, Notion, Google Workspace, Odoo, and many others. The agent can read your data, update it, create entries and trigger automated actions — all without your teams changing their working habits. AI integrates into your existing ecosystem, it does not replace it.

ChatGPT and Copilot are excellent general-purpose tools for individual, one-off tasks. We build something fundamentally different: specialised, autonomous AI agents designed for your specific business processes, connected to your private data and capable of acting without constant human supervision. Our systems do not require you to write prompts — they operate in the background, execute complex multi-step tasks, and only escalate decisions that require a human eye. Unlike consumer tools, we also guarantee that your data never transits through third-party servers.