Public sector and healthcare
AI for casework that must withstand scrutiny
Public bodies and healthcare providers handle information that cannot be processed outside controlled boundaries. Arktis AI is being developed for tasks where traceability is a precondition, not an add-on.
Focus
Secure case handling and clinical summarisation.
Benefit
Data is processed within European jurisdiction, with GDPR as the starting point.
Key challenges
- Large volumes of unstructured documents and clinical notes.
- Strict requirements for privacy, confidentiality and public access.
- Every answer must be traceable back to its source.
- Domain terminology that general models handle imprecisely.
Example workflow
- Documents are retrieved from the organisation's own systems.
- The model only reads what the case officer may access.
- Answers are delivered with references to the underlying document.
- The case officer approves, corrects or discards the draft.
- The action is logged for later review.
Data and control requirements
- Access control at document level.
- Logging without storing unnecessary personal data.
- Defined retention periods.
- The option to run in your own environment.
Technical integration
- API access in your own environment or European cloud.
- On-premise installation for restricted systems.
- Integration with existing document management.
Relevant use cases
Summarising case files
Condensing long case files into a structured basis for decision, referenced down to paragraph level.
Drafting responses
Preparing standardised replies while the case officer retains responsibility for the final content.
Retrieval across archives
Finding relevant precedent and earlier decisions inside closed, internal document collections.
The model's role
The model is a decision-support tool. It does not make decisions and does not replace professional or legal judgement.
Human oversight
Every outgoing answer must be reviewed by a responsible case officer before use.