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.
Solution approach
Document Intelligence for Mechanical Engineering
From document archive to knowledge architecture: historical project documents become the basis for faster proposals and secured experience-based knowledge.
Starting point
In machine tool manufacturing, every machine is in essential parts one of a kind. Every enquiry raises the question of what comparable machines have already been built and what has proven itself. The answers are scattered across proposal archives, requirements and functional specifications, change documentation and service reports.
Approach
- Historical projects are broken down into modules
- Modules are described by their properties, and their relationships are recorded
- Similarity is searched for at module level, in several dimensions at once
- Proven configurations and problematic combinations become visible
What is in place
- Functional concept with a division of roles: the AI structures, compares and proposes; the human evaluates, prioritises and takes responsibility
- The underlying document analysis methods are implemented and can be demonstrated
Expected benefits
| Benefit | What changes |
|---|---|
| Master the variety of variants | Variants are traced back to existing modular solutions instead of treating each one as a special case |
| Secure experience-based knowledge | Knowledge that is tied to individual people becomes accessible to the organisation |
| Speed up proposals | Comparable projects and suitable modules are found automatically; the preliminary analysis becomes shorter |
| Reuse instead of developing anew | Proven modules and configurations become visible |
| Use the project history | It becomes traceable not only what was built, but why a solution was successful or problematic |
This does not replace engineering work. The goal is not merely a better search, but the transition from a document archive to a knowledge architecture.
Further topics
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.
Industries
Manufacturing and Mechanical Engineering
Preserve experience-based knowledge, manage variants, and use image and sensor data to assess condition and quality.
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.