Private AI for cyber-insurance teams.

Turn the claim into an organised investigation

Transcribe accounts, classify visible damage and identify inconsistencies or missing evidence for an adjuster.

Inputs: Consented claim calls, damage photographs, policy records and repair estimates.

From observation to completed task

Create the claim worklist, request approved missing items and route specialist reviews.

Map submitted control evidence to an approved review checklist

The supporting records include authorised questionnaires, security reports and policy criteria.

Underwriters and specialists determine risk and coverage.

The systems involved

Claims-system access, tested image models, recording consent and role-specific permissions.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

An image score is not a coverage decision or proof of fraud; measure overlooked evidence and false referrals.