KYC/KYB Without the Screenshot Game: Verified Extraction for Identity and Business Onboarding

Onboarding teams don’t just “collect documents.”

They verify them.

And verification is where the time disappears:

• comparing names across IDs and forms,
• confirming addresses,
• validating registration numbers,
• checking beneficial owners,
• and documenting why a file was approved.

Many KYC/KYB stacks still rely on:

• manual re-keying,
• screenshots pasted into internal tools,
• and comment threads that don’t age well.

Citation-backed extraction changes the workflow: your system extracts the field, and attaches the exact document region that supports it.

So reviewers can confirm in seconds—and your audit trail is built automatically.

High-value KYC/KYB document types

Identity and proof-of-address

• passports and national IDs
• driver’s licenses
• utility bills / bank letters

Extract:

• full name
• date of birth (if applicable)
• document number
• issuing country/authority
• address (and date of statement for PoA)

Business onboarding (KYB)

• certificates of incorporation
• registry extracts
• beneficial ownership declarations
• board resolutions / signatory letters

Extract:

• legal entity name
• registration number
• registered address
• directors/officers (where present)
• UBO names and ownership percentages (where documented)

The workflow: fast review with a defensible record

1) Extract canonical fields + citations

For each field, store:

• the value,
• the snippet,
• and the region in the document.

This makes verification objective:

• “Here’s the name on the document.”
• “Here’s the address line.”
• “Here’s the registration number.”

2) Normalize and compare across documents

Conflicts are common:

• a shortened name in one doc,
• different address formatting,
• old vs new registered addresses.

Normalize and then compare:

• name similarity thresholds,
• address parsing,
• date recency rules for proof-of-address.

Flag only meaningful discrepancies.

3) Route by risk and confidence

Use routing rules such as:

• auto-approve low-risk fields above a confidence threshold,
• require review for high-risk fields (identity number, UBOs),
• escalate ambiguous or conflicting packs.

4) Log the decision trail

Store:

• extracted values + citations,
• reviewer decisions (verified/corrected/escalated),
• timestamps.

This is what audits want: not “we reviewed it,” but “here’s what we reviewed and why we accepted it.”

Why citations are a cheat code for onboarding speed

Most onboarding time is spent proving obvious things:

• yes, the name matches,
• yes, the address is present,
• yes, the registration number is here.

Citations turn those into one-click confirmations.

They also reduce:

• back-and-forth between ops and compliance,
• “can you show me where that is?” threads,
• and inconsistent reviewer interpretations.

Privacy note (important in KYC)

Evidence is sensitive. Design your system so that:

• document access is role-gated,
• snippets are minimal (or on-demand),
• logs don’t leak document content.

You can be verifiable without being leaky.

KYC/KYB isn’t a data-entry problem. It’s a verification problem.

Citation-backed extraction makes verification fast—and makes your audit trail automatic.