AI KYC & AML

Compliance Automation for a Digital Bank

AI KYC & AML


About Project

An AI-driven compliance automation system was built to simplify customer onboarding, document checks, and AML (Anti-Money Laundering) monitoring for a digital banking provider. The solution improves accuracy, reduces manual work, and strengthens regulatory compliance.

Success Data

90%

Faster

customer onboarding.


40%

Improvement

in document and identity verification accuracy.

Requirements

The client required a solution that could

01

Quickly process and verify large numbers of KYC documents.

02

Reduce mistakes in identity and compliance checks.

03

Automatically identify suspicious activity through AML screening.

Automation
Automation

Key Features

OCR-Based Document Processing

Automatically reads ID documents and extracts the required information accurately.

AI-Powered AML Model

Detects unusual transaction patterns and flags potential risks.

Automated Reporting

Creates compliance reports and alerts that are ready for audits.

RAG-Based Knowledge Retrieval

Provides accurate answers to compliance queries using verified legal sources.

Challenges

Faced by the Client

Delayed Onboarding

Delayed Onboarding

Manual KYC checks made customer onboarding slow.

High Error Rates

High Error Rates

Human reviews often missed mistakes and inconsistencies.

Compliance Risk

Compliance Risk

Inconsistent verification increased the risk of regulatory issues.

Automation

Solution

Proposed by Hiteshi

Hiteshi addressed the client's concerns through the following solutions.

Conclusion

Elliptical background

01

Accurate and reliable identity verification.

Elliptical background

02

Reduced manual compliance work by 80%.

Elliptical background

03

Stronger regulatory protection with audit-ready reports.