AI Services
AI Environments
The environment in which your AI is allowed to work: model access, data connection, access rights, and operations, as the foundation for every further application.
Industries
Document-Intensive Organisations
Unlock company knowledge, analyse documents and support cases with internal AI assistants.
Typical questions
- Where is the knowledge that is needed for a decision, and who finds it in time?
- How is information from documents reliably transferred into structured data?
- How can AI be used with internal documents without giving up control over the data?
AI tasks
- Document analysis
- Information and knowledge extraction
- Internal company AI assistants
- Case and process support
Contracts, proposals, reports, files, minutes: in many organisations the knowledge exists, but it is spread across filing systems, archives and people’s heads. The difficulty lies less in a lack of data than in making it accessible.
Three tasks that keep recurring
| Task | What the AI contributes | What remains with people |
|---|---|---|
| Make collections accessible | Recognise and classify pages, read text, capture fields such as titles, names, places and years | Check samples, decide cases of doubt |
| Query knowledge | Answer questions in natural language, every answer with its source references | Assess the answer professionally |
| Support cases | Search, assess and structure documents and prepare a decision | Make and approve the decision |
Why a model alone is not enough
A document is more than a sequence of letters. It consists of text, image, characters and layout, and many details only become understandable in context. A single language or vision model cannot reliably resolve ambiguities in names, places and spellings.
That is why we build a process in several stages: first classify the document as a whole, then read the individual pages and fields, supply the model with reference knowledge, standardise spellings and cross-check the result. What remains uncertain is marked as uncertain. The methods are described under Document & Knowledge Intelligence, the solution under Document and Knowledge Intelligence.
The data remains under your control
Internal documents do not belong in a public chat service. We set up the processing in an environment that you control: with personal access accounts, defined regions for the language models and a log of all access. Where necessary, models run locally. We describe the setup under AI Environments.
Where we have experience
Our demonstrators work with demanding material: historical prints, directories from several decades, handwritten ordinances, a lexicon from 1728. The methods are the same ones that today’s business documents require. With company documents, we begin with a clearly defined collection: one document type, one question, one verifiable result.
Further topics
AI Technologies
Document & Knowledge Intelligence
Making large, heterogeneous bodies of information accessible and turning unstructured information into knowledge models that are usable for the business domain.
AI Technologies
Agentic AI
Individual model calls become controllable systems based on a division of labour: specialised agents handle subtasks, use tools, and work together in verified workflows.
Solutions
Document and Knowledge Intelligence
Understanding documents instead of merely reading them: archives, files, and technical documentation become structured knowledge you can query.
Solutions
AI Agents and Intelligent Workflows
Agents for tasks in your company: they read documents, query databases, apply rules, and prepare decisions.
Would you like to make AI usable in your company?
Whether a first AI adoption or a complex development task – we discuss the requirements and suitable next steps with you.