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Financial Services

Automating KYC Verification Across 8 Stages with meta-flow.ai™

See how a retail bank automated customer identity verification with meta-flow.ai™ — using OCR document extraction and automated Aadhaar and PAN validation to replace manual review from registration through notification.

Industry: Financial ServicesCompany Size: 9,000+ EmployeesProducts Used: meta-flow.ai

8 Stages

Automated KYC Workflow

OCR-Powered

Aadhaar & PAN Extraction

Automated

Customer Notification

Executive Summary

Executive Summary

A retail bank's KYC process required customers to submit identity documents that officers then manually reviewed, cross-checked against Aadhaar authentication results, and recorded by hand. Yukosa implemented meta-flow.ai™ to automate the complete KYC journey — from customer registration through OCR-based document extraction, external Aadhaar and PAN validation, and automated customer notification — replacing manual document review with a consistent, traceable verification workflow.

Customer Overview

Case Study Overview

IndustryFinancial Services
Organization Size9,000+ Employees
Products Usedmeta-flow.ai
Deployment RegionIndia
Scenario Typemeta-flow.ai™ Capability Demonstration
KYC
The Problem

The Business Challenge

Manual Form and Document Review

Customers filled detailed forms and submitted Aadhaar and PAN documents that bank officers manually reviewed and compared against records.

Manual Aadhaar Authentication

Officers initiated biometric or OTP-based Aadhaar authentication and manually compared UIDAI results against submitted details.

Time-Consuming at Volume

Processing large volumes of customer records required careful manual entry, document review, and consistent outcome recording.

Risk of Human Error

Manual document verification created the possibility of errors when extracting or comparing customer name, date of birth, Aadhaar, and PAN details.

The Remedy

The Yukosa Solution

An Automated KYC Journey from Registration to Notification

Yukosa implemented meta-flow.ai™ to automate KYC verification through data processing, document retrieval, OCR, external validation, status management, and customer notification — processing customer information systematically from registration through final verification.

  • Automated retrieval of Aadhaar and PAN documents by Customer ID
  • OCR-based extraction of identity information
  • Automated validation against an external verification API
  • Automated status updates and customer confirmation emails

KYC Verification Engine

Active meta-flow.ai Deployment

The Transformation

Transformation at a Glance

Before Yukosa

  • Manual form review and document comparison
  • Manual Aadhaar biometric/OTP authentication checks
  • Manually recorded verification outcomes
  • Risk of extraction and comparison errors
  • No centralized KYC status tracking

After Yukosa

  • Automated customer record processing via structured workflow
  • Automated Aadhaar and PAN document retrieval by Customer ID
  • OCR-based extraction of identity information
  • Automated validation through an external verification API
  • Centralized KYC status tracking and customer notification
Measurable Impact

Business Outcomes

8 Stages

End-to-End Automation

Registration through customer notification runs as one connected KYC workflow.

OCR-Powered

Document Extraction

Aadhaar and PAN details are extracted automatically instead of manually re-keyed.

Automated

Aadhaar & PAN Validation

Extracted data is validated through an external API and classified automatically.

Centralized

Verification Status

Every customer record carries a consistent Verified / Not Verified outcome.

Automated

Customer Notification

Successful verification automatically triggers a confirmation email.

Recommended Platform

Yukosa Products Used

meta-flow.ai

Workflow Automation

Connect legacy systems with deep cognitive loops to automate invoice triage, verification, and escalations natively without manual routing.

Automated document retrieval, OCR extraction, validation, and customer notification.
More Success

Related Success Stories

Loan Reconciliation Automation

Finance teams manually compared loan statements, ledgers, and amortization schedules every reporting period.

9 Stages

End-to-End Reconciliation Workflow

3 Tiers

Minor, Major & Critical Exceptions

Audit-Ready

Documentation for Every Loan

meta-flow.aiRead Full Story

Loan Processing Automation

Loan approvals stuck in emails, spreadsheets, and manual document verification across four departments.

68% Faster

Loan Processing Time

82% Fewer

Manual Follow-Ups

96% SLA

Compliance

meta-flow.aiRead Full Story

Purchase Order Automation

Purchase orders moved through budget validation, vendor enquiries, and invoice matching via spreadsheets and email.

9 Stages

End-to-End PO Automation

Unique ID

Per-Transaction Tracking

Automated

Invoice-to-PO Matching

meta-flow.aiRead Full Story

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