Borrower Identity Verification
Borrower identity verification, automated.
Read the ID. Match the photo. Verify against the file. Catch forgeries. Across the markets that matter.
Kita reads government IDs and reconciles them with the rest of the borrower file. Across PhilSys, INE, KTP, FICA, U.S. drivers licenses, and more.
Definition
What is borrower identity verification?
Borrower identity verification is the process of confirming that a loan applicant is who they say they are. It typically involves reading a government ID, matching it against the applicant, cross-checking the data against other documents in the file, and flagging forgery or recycled-document patterns. AI automates the document side of that workflow.
How it works
01
Read the ID
PhilSys, UMID, drivers license, INE, KTP, FICA-acceptable IDs, U.S. drivers license, passport. Extract every field and surface confidence.
02
Reconcile across the file
Same name across ID, tax filings, bank statements, and registrations. Same address across utility bill and registration. Same date of birth across every form.
03
Catch forgery patterns
Font and stamp inconsistencies, pixel-level edits, metadata that conflicts with visible content, recycled IDs across borrowers. Verdicts come with the triggering signals.
Comparison
Automated identity verification vs. manual review.
| Aspect | Manual ID review | Kita identity verification |
|---|---|---|
| Time per applicant | Minutes per ID, multiplied by document count | Seconds, structured output |
| Forgery detection | What the analyst notices in passing | Pixel-level edits and metadata anomalies |
| Cross-document match | Done when remembered | Built-in across the borrower file |
| Market coverage | Depends on analyst familiarity | PH, ID, MX, ZA, KE, NG, U.S. calibrated |
| Audit trail | Initials on the form | Structured verdicts with citations |
Who it's for
Built for the three lender scenarios we serve.
Consumer lending
High-volume identity at intake.
Verify identity on every applicant without adding a manual review step. Automated checks flag the cases that need a human and let the rest move through the funnel.
SME and corporate
Signing-authority verification.
Read corporate IDs alongside signing-authority documents like Secretary Certificates and Poder Notarial. Confirm the right officer is signing the loan.
CDFI and SBA
Mission lending with rigor.
Bring the same identity-verification standard to character-based lending. Build a defensible file even when the borrower has thin traditional history.
The product
Kita Capture
Identity verification is built into Capture. Send the ID, get structured fields, a forgery verdict, and cross-document reconciliation. Works alongside the rest of the borrower file.
See Kita CaptureFAQ
Common questions
Which IDs does Kita verify?
In the Philippines: PhilSys, UMID, SSS, drivers license, passport, voters ID, postal ID. Indonesia: KTP, NPWP. Mexico: INE. South Africa: FICA-acceptable IDs. United States: drivers license, passport, state ID. Coverage expanding as new markets go live.
Is this a replacement for an identity verification provider like Persona or Veriff?
No, it is complementary. Identity providers handle live-person checks and biometric matching. Kita handles the document side: reading IDs, reconciling them against the rest of the borrower file, and catching document-level forgery patterns specific to lending.
How does Kita catch ID forgery?
Pixel-level edits, font inconsistencies, stamp anomalies, metadata mismatches, and recycled-document detection across borrowers. Verdicts come with the specific signals that triggered them.
Does Kita do biometric matching?
Document-level checks are built in. For live-person biometric matching against an ID photo, lenders typically pair Kita with a provider like Persona or Veriff. Kita handles the document fidelity; the biometric provider handles the live-person.
Can identity verification be tuned per market?
Yes. The fields extracted, the forgery thresholds, and the cross-document checks are calibrated per region. PhilSys checks differ from INE checks; both are configured per-market by default.
How does this fit into the loan origination flow?
Identity verification runs inline with the rest of the Capture document parsing. The same intake step that pulls bank statements and tax returns also verifies the ID and reconciles it against the file.
Verify every borrower. Without slowing down origination.
Talk to the team about automated borrower identity verification.