use cases AI solutions in practice: four use cases
Each of them runs in our own daily operations. What we built for ourselves, we build for you.
AI agents AI agents with clear rules
AI agents write and review our code. Every change passes an independent review and automated tests; a person decides what goes live.
- Larger projects start only after a person approves the specification
- Rules per project define where a person merges
- AI workflow automation from the task to the review
Local AI Local AI on your own hardware
Language models, speech recognition and text recognition run on our own servers. They process large volumes in batches, for example at night; a person confirms the result.
- On request, no document leaves your premises
- An approval inbox where a person decides
Security Introduce AI in your company with rules that software enforces
Each AI agent works with permissions defined in advance. Clear rules set what it decides on its own and what a person approves.
- Weekly secret scan across all code
- Daily check of security advisories
- Continuous monitoring with alerts
Knowledge Your knowledge, searchable for employees and AI agents
Notes, documents, books and audio transcripts sit in one local search. A local model answers questions about the documents in plain language: a RAG system on your own hardware.
- AI in document management (DMS): read documents, classify them and suggest where to file them
- Automate bookkeeping: match invoices with bank statements and find missing receipts
- Employees and AI agents use the same search