02 / AI INTEGRATION
Based in Liège, I develop AI integration projects to find information, prepare answers and connect everyday tools. Each assistant starts with a specific use case, identified sources and defined access.
Let’s discuss your AI assistantConcept illustration · Fictional preview
A CONCRETE EXAMPLE
An employee wants to prepare for a colleague’s arrival. The assistant finds useful passages in authorised documentation and proposes a checklist with references. This demonstration uses fictional documents.
WHAT THE PROJECT MAY INCLUDE
Scope definition, document preparation, an assistant prototype, connections to authorised sources, test scenarios and documentation. The exact scope depends on your needs and environment.
Agents & assistants
An agent can draft a response, find information or propose an action. Its tools, permissions and limits must be explicit. Sensitive operations remain subject to human approval.
RAG & knowledge
A document assistant retrieves useful passages before producing a contextualised answer. Document quality, permission enforcement and visible sources are central to the design.
Business applications
A dedicated interface can bring together the tools your teams already use. Integrating ChatGPT or another LLM into a business involves choosing a model, defining data processing rules and setting up the required connections.
YOUR PROJECT IN PRACTICE
Yes, when they can be prepared and connected in an appropriate setup. Access rights, source quality and processing rules are part of the initial scoping.
It depends on the scenario. The level of autonomy and the actions requiring approval are defined explicitly.
To move from assistance to action, explore AI automation and n8n workflows. The projects and demonstrations show possible use cases. Let’s discuss your AI project.