KYC files, checked before they reach a reviewer.

An example of how ai automation could turn a business challenge into a working process. This is a proposed scenario, not a published client engagement.

The challenge

An onboarding team manually checks identity and address documents for completeness, mismatched details, and missing pages, which leads to rework and follow-up.

The approach

A workflow extracts key fields, cross-checks them against the application, and flags mismatches or missing items. A verification officer makes every decision, and each step is logged.

What we would measure

  • Field extraction quality on representative documents
  • Mismatch detection and false-flag rate
  • Reviewer effort per file
Targets and acceptance criteria would be agreed during discovery.

The proposed workflow

  1. 01Customer submits documents
  2. 02Fields extracted and cross-checked
  3. 03Mismatches flagged with evidence
  4. 04Officer decides; audit trail recorded

Systems involved

Onboarding portalDocument storeLoan or core systemAudit log

How people stay in charge

  • Final decision by an authorised officer
  • Role-based access to documents
  • Retention per internal policy

Let’s build what matters

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