Understand
Explore AI opportunities and select a valuable first use case.
We build practical AI solutions that help your teams find information, prepare decisions and simplify repetitive tasks. Integrated with your tools, they are designed around your confidentiality requirements.
You do not need to transform your entire organisation to get started. We begin with a real need, the available data and a measurable outcome.
Explore AI opportunities and select a valuable first use case.
Evaluate an assistant on a real case with the people who will use it.
Manage access, connect your tools and choose your hosting model, including a fully local setup.
Clear scoping and well-prepared teams before making technology decisions.
Identify the AI use cases that bring the most value, based on your workflows, tools and constraints.
Equip teams with practical methods to use AI responsibly and effectively.
Two complementary solutions: an on-demand assistant and a lasting knowledge base.
Ask questions about a collection of documents in a dedicated space for a specific case or project.
Build a lasting, searchable knowledge base that is kept up to date.
Document assistants can retrieve relevant passages before answering (the RAG approach). Source references and access rights must be checked; when information is missing, the assistant should say so rather than invent an answer.
Tools that support meetings, monitoring and communications.
Prepare meetings and turn discussions into action items for review.
Monitor selected publications and provide focused summaries with dates and source links.
Turn existing expertise into content tailored to different audiences.
Official positions, publications and sensitive translations still require human approval. Up-to-date monitoring requires an internet connection or regular imports.
Automate preparation and follow-up while keeping teams in control of approvals.
Connect documents, tasks and deadlines to reduce duplicate data entry.
Classify enquiries, route them appropriately and simplify partner follow-up.
Speed up administrative tasks using clearly defined rules.
Recommend content by topic and build dashboards using reliable data.
Payments, final accounting entries and administrative decisions remain subject to approval. Content recommendations should be considered only when the available data justifies them.
A controlled environment designed for sensitive information and network constraints.
Run AI on your own hardware, with the option of fully offline day-to-day operation.
Individual workstation: a local setup can be used to test conversational AI and document search. Team server: a shared AI engine can be configured with authentication and suitable access permissions.
Sovereignty must cover the model, embeddings, any OCR, the document index, logs and backups. A complete offline test is part of acceptance testing whenever offline operation is required.
An initial pilot can focus on a single committee or project, an approved set of documents and two or three users. Together, we prepare representative questions and assess the answers, their sources and the time saved.
Workshops, interviews and scoping. Make an informed decision about the first use case.
A focused prototype, user testing and an evaluation. Decide whether to proceed, refine or stop.
Integrations, access permissions, training, monitoring and ongoing maintenance.
Scope, responsibilities and recurring costs are defined before going live. Benefits and timelines are assessed using real data and existing tools.
The right choice depends on your use cases, access requirements, infrastructure and confidentiality needs.
Fast deployment, collaboration and integration with your existing tools.
Sensitive documents and the option to work offline every day.
Keep public-facing use cases separate from confidential documents and processes.
Let’s start with a case or task your team handles regularly. Together, we will define the expected outcome, the information that can be used and a straightforward way to measure the pilot’s value.