Innoira
    AML Report Generation
    Banking
    RPA

    AML Report Generation

    Case Study

    Overview

    This process downloads transaction records from multiple applications to check and verify incoming and outgoing transaction histories for AML reporting purposes.

    BUSINESS CHALLENGES

    • Failing to identify exceptional customers or those with liabilities before deducting amounts can result in reputational loss.
    • Checking transaction history in Mainframe applications demands intense human attention and concentration.
    • Manual cross-referencing across multiple systems creates gaps and inconsistencies in AML reporting.

    SOLUTION IMPLEMENTED

    • BOT accuracy virtually eliminates the probability of missing critical checks before deducting or flagging transactions.
    • Digital worker reads all data in seconds and does not miss any transaction detail regardless of volume.
    • Automated reporting ensures precise, timely AML submissions that maintain bank profitability and regulatory standing.

    Impact Delivered

    98%
    Accuracy
    700%
    Productivity
    5 min
    Avg. TAT
    1 day
    SLA
    300/day
    Volume

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