Expertise
The AI that works, not the one that demos well.
Inside Web brings artificial intelligence into the tools Belgian companies already use: websites, applications, Odoo and internal processes. We build assistants that know your content, agents that carry out tasks, and automation whose return can actually be measured.
catalogue, documentation, procedures.
connected to Odoo, to your CRM and to your mailbox.
recommendation, intelligent search, personalised advice.
choice of models, where the data sits, GDPR and the European AI Act.
One use case, one indicator, a prototype within weeks. If it does not save time, we stop. If it works, we scale it up.
(Artificial intelligence)
By taking on the repetitive work: answering frequent questions, sorting emails, drafting quotations, summarising documents, enriching product records. The point is to free up time for the work that adds value.
It is an assistant that answers from your own documents (catalogue, procedures, knowledge base) rather than from general knowledge. The technique used, known as RAG, allows it to cite its sources and sharply limits invented answers.
A chatbot answers questions. An AI agent acts: it checks stock, creates a task, prepares a quotation or updates a customer record in your tools, following rules and permissions you define.
Yes, provided the architecture is right. We favour providers that do not use data sent through their API to train their models, options for European hosting, and self-hosted open source models where confidentiality demands it.
It can be. That means keeping the personal data sent to a minimum, documenting the processing, informing users and choosing compliant processors. We build these points in from the scoping stage.
For most SME uses, the obligations are mainly about transparency: making clear that someone is interacting with an AI or that a piece of content was generated. Uses classified as high risk face heavier requirements. We assess your situation during scoping.
Yes. That is why we limit the assistant to verified sources, show those sources, define what it must not do, and require human validation for sensitive decisions.
With a scoping workshop: we list the tasks that eat time, pick the use case with the best effort-to-impact ratio, and define what success looks like. The prototype follows immediately.
A working prototype on a well-defined use case usually takes a few weeks. Moving to production then depends on the integrations needed and on how heavily it will be used.
We choose the model to suit the need: models from OpenAI, Anthropic, Google, or open source models. No model is best at everything; we weigh quality, speed and confidentiality for your particular case.
No. It removes repetitive tasks and speeds up production, but supervision, client relationships and decisions stay human. The companies that benefit most are the ones that train their people to use it.
Yes. We integrate AI into websites, online shops, mobile applications and Odoo, so that it works where your data and your people already are.
A first conversation with no strings attached. One of the team gets back to you within 24 working hours.