We build what we use ourselves.
The setup we use for Dynamics 365 development contains every part of an AI project: a local vector database, knowledge collections with their sources kept separate, a shared base where the team's experience builds up, and a way of working in which every step can be traced.
We adapt the same approach to your knowledge and your processes.
What kind of projects?
Company memory
We turn your documents, process notes and past solutions into a knowledge base that can be searched and is kept up to date.
An assistant that answers from your knowledge
Assistants that build their answers from your own sources and show which source they relied on. They look at your knowledge first, then at general knowledge.
AI that takes on tasks
Agents that carry out specific jobs step by step. Broad read access, narrow write access that depends on approval.
Training and support
Training and support chatbots that answer your users' questions about the system with knowledge of your own system.
Rules that apply to every project
- The data boundary is written down at the start: it is clear what stays in-house and what goes to a model.
- Writing to production systems happens only with explicit approval and narrow permissions.
- User corrections are fed back into the knowledge base, so the system gets to know you better the more it is used.
- The architecture is not locked to a single model provider.
From idea to production use
We start with a pilot of limited scope. Once the pilot delivers, we extend the number of users and data sources. At the end of each stage we report plainly on what worked and what did not.
Tell us about the project you have in mind.
Let us work out together which knowledge needs to reach which users, and how.
Get in touch