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Industry · insurers, leasing, brokers
AI in insurance and finance
Insurance claims automation and document processing: the document is read on its own, a person only approves, and the data stays in the EU.
🔊 With voice-over and subtitles
Where time is lost
- Contracts, claims and documents are reviewed and entered by hand.
- Inboxes and requests pile up.
- Reports and compliance checks take time.
- Regulation requires an audit trail for every step.
In a regulated environment trust is proven with facts: EU hosting, an activity log, no direct AI access to core systems and a person who approves.
What we automate
Claims processing
AI reads the claim documents, fills in the data and flags what is missing (example).
AI contract review
A summary, key clauses and deviations from the standard, with quotes from the text (example).
Inbox triage
Requests are routed by type and urgency to the right team (example).
Scenario (example)
We don’t have a real case study in finance and insurance yet. The scenarios on this page are examples, not client results.
Who takes part
- We start with the operations director
- IT and information security review the demo
- Management approves the pilot
What directors ask us
What about GDPR?
Data stays in the EU, we work under a data processing agreement, and the demo uses synthetic data.
Is there an audit trail?
Yes. Every AI step and every approval is recorded in a log.
Who is responsible for mistakes?
The decision is a person’s: AI prepares, the employee approves. Anything unclear is flagged, never guessed.
How accurate is the AI?
We measure it in the pilot on your own examples and show you before scaling.
Related services: AI implementation · Process automation · Process analysis
Next step
Show us one process that slows you down
In the demo you see a working solution on synthetic data instead of a slide deck. Then you decide whether to move on to analysis and a pilot.