AI Loan Underwriting
Explainable, policy-governed credit decisioning that combines bureau, banking and alternative data with human review.
Loan Fraud Detection
Stop fraudulent applications before they become losses
Detect document tampering, synthetic identities, application velocity abuse and first-party fraud at origination.
The problem
Why this matters
Origination fraud has become industrialised. Edited bank statements, synthetic identities, mule networks and generative-AI-produced documents can pass manual checks, and losses from fraudulent loans directly reduce lenders’ appetite to serve genuine borrowers.
Common challenges
- Edited or fabricated PDFs and images that look authentic
- Synthetic identities assembled from real and fake data
- Coordinated application rings using shared devices and contacts
- Balancing fraud controls with customer friction
Our approach
How we work
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Verify at source
Prefer source-verified data over customer-supplied documents wherever possible.
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Inspect documents
Apply forensic checks to the documents that must still be uploaded.
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Connect signals
Link applications by device, identity and behaviour to expose networks.
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Decide in layers
Run deterministic rules first, then risk models, then targeted review.
Capabilities
What our loan fraud detection work covers
- 01
Document tamper detection
Metadata, font, layout and arithmetic consistency checks on PDFs and images.
- 02
Source-data reconciliation
Cross-check documents against Account Aggregator, GST and bureau data.
- 03
Identity & synthetic fraud
Consistency analysis across identity attributes and history.
- 04
Velocity & device intelligence
Detection of repeated or coordinated applications.
- 05
Network analysis
Graph-based linking of applications, devices and contact points.
- 06
Fraud case management
Investigator workflows with evidence and outcome feedback.
Engagement
Deliverables and benefits
What you receive
- Fraud risk assessment of origination journeys
- Rules and model design with reason codes
- Document forensics pipeline
- Investigator workflow and feedback loop
What it changes
- Earlier detection of fraudulent applications
- Less friction for genuine applicants
- Fraud outcomes fed back to improve detection
Standards & technology
FAQ
Frequently asked questions
Can fraud checks run in real time?
Yes. Deterministic rules and most model scores can run within interactive latency budgets; heavier document forensics can run asynchronously while the application proceeds.
Discuss your loan fraud detection requirements
Let’s discuss it. Tell us what you are working on and an engineer — not a sales script — will respond.