Fraud-Proof Claims Processing: AI That Approves Legitimate Claims Fast and Blocks Fraudulent Ones Automatically
Daabo's claims verification AI crossreferences every claim against the original device onboarding record, audits photo metadata for timestamp integrity, and scores every submission against a fraud probability model — before a single payout is approved.
Device insurance fraud in Nigeria and West Africa takes multiple forms:
pre-existing damage claimed as new incidents; the same device submitted under multiple policies (double-dipping); claim photographs manipulated to misrepresent damage severity; and policies taken out on devices already reported lost or stolen. Each represents direct premium leakage into your loss ratio — losses absorbed without recovery. Daabo closes all four simultaneously.
Primary Services: Device Claims Verification
AI Cross-Reference Validation —Is This the Same Device?
Daabo's computer vision engine compares the claim submission photo against the original device onboarding image — confirming it is the same physical device being claimed on, and documenting any changes in condition between inception and claim date. This single check eliminates the most common formof device insurance fraud: device substitution.
Timestamp and Metadata Fraud Detection — Did This Damage Happen During the Policy Period?
Every submitted claim photo is audited for metadata integrity —confirming when and where the image was taken, detecting GPS inconsistencies, and flagging images with manipulated EXIF data or backdated timestamps. Claims where damage predates the policy start date are automatically flagged before any adjudication proceeds.
Automated Fraud Scoring and Adjudication
Each claim receives a multi-signal fraud probability score based on: crossreference result, metadata audit, IMEI blacklist status, policyholder claimhistory, and behavioral pattern matching. Claims below the fraud threshold are automatically approved. Claims above the threshold are escalated with all supporting evidence pre- packaged for human review —reducing manual adjudication workload by up to 80%.
Up to 80% reduction in claims processing time vs. manual review Pre-existing damage claims blocked automatically — not investigated after payout Double-dipping fraud detected across multiple policies on the same device Manipulated and backdated claimphotographs flagged by metadata audit Legitimate claims approved automatically — same-day payout instruction Full NAICOM-compliant audit trail on every claim decision