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AI Agents and Intelligent Workflows

Agents for tasks in your company: they read documents, query databases, apply rules, and prepare decisions.

Example research assistant: the process remains visible and steerable for the human.

Benefits

  • Recurring research and review tasks are prepared instead of done by hand
  • The process remains visible: humans can follow it, steer it, and stop it
  • Results arrive structured and with a justification

Functions

  • Read documents, query databases, apply rules
  • Collect, evaluate, and structure source references
  • Analyse work results and generate proposals
  • Review steps and approvals at defined points

Who it is for

Business departments with recurring, knowledge-intensive processes that currently require a great deal of searching and coordination.

Integration

We integrate agents into existing systems, for example into Microsoft Copilot or into internal data and tool landscapes.

Example: research assistant for tenders

The assistant queries a search portal through the browser interface, collects, evaluates, and structures the source references, and prepares them for a decision. The human can follow, steer, and stop the search process.

Roles in an agent system

  • Orchestrator: breaks down the task, distributes the work, and merges the results.
  • Analysis and extraction: several agents evaluate data, partly in parallel.
  • Knowledge: searches for relevant prior knowledge in vector databases and reference data.
  • Normalisation: standardises terms, assigns classifications, harmonises formats.
  • Test and validation: checks plausibility and rules before a result is passed on.
  • Human: approves and corrects at the points where it matters.

Further topics

AI Services

AI Development

We develop the methods that turn your data into reliable results: machine learning, AI pipelines, agents, multimodal analysis, and hybrid models.

AI Services

AI Integration

AI becomes usable where the work is done: as a function in existing software, as an interface, or as a separate application in your system landscape.

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.

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.

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.

Discuss your AI project