Automation / executes
carries out clearly ruled steps quickly, cheaply and repeatably
SERVICES · AI
AI where rules end.
AI is applied inside automation processes, above all in work with non-standardised documents. Rules execute what is predictable. AI interprets what cannot be written down as rules. People supervise what matters.
HYBRID MODEL
Three layers of one process.
AI / interprets
reads documents, understands language, classifies and proposes decisions where rules cannot be written down
People / supervise
approve high-stakes actions and teach the system on exceptions
As a result AI is not an experiment beside the process but a part of it: built together with the automation, inside the same flow, and maintained like the rest of the solution.
Non-standardised documents. Specialised automation.
Data extraction from documents
Invoices, contracts, orders and letters in various formats and layouts. OCR plus language models extract the data, automation validates it against source systems and passes it on.
Inbound document flow
Recognising the document type, assigning a category and routing it to the right process or person before anyone opens the attachment.
Documents without a template
Every supplier sends invoices differently. The hybrid model copes with a layout it has never seen and routes uncertain cases to human approval.
Correspondence and tickets
Reply drafts and case classification prepared by AI, sent after approval.
Document data quality control
Detecting gaps, duplicates and mismatches between document and system before the data reaches reports.
AI delivered like a system, not like an experiment.
- Data under control
- on-premise work with local models is possible; data does not have to leave client infrastructure
- Pilot before scale
- first a measurable effect on one process, then expansion
- Human in the loop
- high-stakes decisions always require approval
- Compliance
- solutions designed for regulatory requirements and audit
Let us talk about working together.
A process full of documents, exceptions and manual re-typing? That is the most common candidate for a hybrid deployment.