Auto Loan Fraud Detection demo
Agents test every risky application for fake income, borrowed identities and washed credit; a fraud analyst decides before the money leaves. 1:15
What the demo shows
A fraud solution for auto lenders that catches fake income and borrowed identities early.
Six agents screen every application from submission to funding — each pay stub, bank statement and license put under a forensics lens for edited pixels, changed fonts and arithmetic that does not tie, the employer checked, today's credit file compared with earlier pulls, shared details linked across applications — and the riskiest deals reach a fraud analyst who decides before the dealer is paid.
Transcript
- Auto Loan Fraud Detection checks every deal's documents for fake income before funding.
- Income lies are 43% of auto fraud.
- Every pay stub, statement and license goes under a forensics lens on arrival.
- The lens slides over the pay stub.
- Net pay glows red, digits re-rendered in a different font.
- The math was bent.
- 14 pay periods where there should be 18.
- The bank statement is real, but shows no payroll.
- App transfers, $80 short.
- The evidence board adds washed credit.
- An employer phone shared by four applications.
- Washing or a real victim.
- The assistant answers, citing each source.
- Tasha declines. Owen cosigns.
- $49,000 stopped before the money leaves.
- Built on Botminds: agents, data, screens, and governance on one platform.
Transcribed from the film’s narration. Captions are on the player.