An AI copilot that puts company knowledge at every employee’s fingertips.

A customer chatbot speaks to the public and answers from content meant for external audiences. An internal AI assistant is reserved for your employees, signs them in with their company credentials and works with internal, sometimes confidential documents. It also helps with writing and summarising, whereas a customer chatbot focuses on informing and guiding visitors.

The assistant can work with most common formats: PDFs, Word documents, presentations, spreadsheets, intranet or wiki pages and knowledge bases. We connect it to your shared drives, document management system or collaboration tools. During scoping, we select reliable, up-to-date sources with you, because answer quality depends directly on them.

Yes, this is a core design principle. The assistant inherits the permissions set in your source tools and filters documents before building each answer. Someone in the sales team will not receive information from restricted HR documents, for example. Access rules are tested with you before the assistant is rolled out to your teams.

We use API offerings whose terms exclude your data from being used to train the provider’s models, or open-source models hosted on your own servers. Your documents are indexed in a space dedicated to you. The choice between these options depends on how sensitive your data is and on your internal policies.

Yes. Every answer includes links to the documents or passages it used, so employees can check the information and dig deeper when needed. When no relevant source is found, the assistant says so clearly instead of improvising, and the question is logged to help enrich the knowledge base.

The assistant works in French, English and Arabic, and can answer in a different language from the source document. Questions asked in Tunisian dialect are tested case by case with your teams. This flexibility is useful for companies whose documentation mixes several languages, as is common in Tunisia.

We start with a motivated pilot group and focus on concrete, frequent use cases. We then run short training sessions, share examples of useful questions and track real usage. Employee feedback drives improvements, which builds trust and encourages people to use the assistant regularly in their daily work.