AI consulting for businesses
Your knowledge.
More accessible.
We make approved company content accessible to AI assistants, with maintained sources, appropriate access rights and answers that can be checked.
Copilot governance & platform architecture
Copilot governance for Linde: platform architecture, approval processes and a dashboard for agent inventory, usage and lifecycle.
View projectCopilot agent as a product in the Microsoft Store
Copilot agent in the Microsoft Copilot Store: Graph Search Connectors, Python data preparation, custom SharePoint search.
View projectData protection for Copilot use
DPIA for Microsoft 365 Copilot at a financial services provider: data flow analysis, risk assessment, measures and decision documents.
View projectFor departments with extensive, distributed knowledge
Whether SharePoint, document storage, ERP or PIM: we structure the knowledge base for a clear use case. Sources, responsibilities and updates are included in the planning.
Depending on the task, we combine semantic search, RAG or knowledge graphs. Such a connection supports grounding in sources; we also check quality with specific test questions and feedback from subject specialists.
What you receive
Source and metadata conceptRecord content, provenance, currency and responsibilities.
Search and RAG architectureAppropriate preparation, search and provision of relevant content for the model.
Permissions and qualityPermissions, test questions and procedures for evaluating and maintaining answers.
Frequently asked questions
What does RAG mean?
The assistant searches approved sources for information relevant to the question and uses it for its answer.
Can the assistant still give incorrect answers?
Yes. That is why displaying sources, test cases and assessment of the results by subject specialists are part of the project.
The next step
Which knowledge should AI make accessible?
Tell us about your idea or challenge. Together we work out what makes sense and how we can support you.
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