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PROCESS AREA
Autonomous Finance
MICROSOLUTIONS
Autonomous Accountant

Autonomous Accountant

Key Features:

  • ML-driven engagement for master data governance​
  • Autonomous detection of data anomalies​
  • Self-learning mechanism to automate system updates​
  • Real-time feedback and monitoring for timely and accurate posting of data transactions

    • Value Delivered:

  • An average of 75% reduction in reconciliation errors
  • Reduction in the time spent on the financial close cycle by an average of 2-4 days
  • Saves time, ensures complete and valid data accuracy​
    • The AIOPS.D Execution Process
    Process Steps

    Generates Master Data

  • The Autonomous Accountant dashboard displays the list of all data transactions pulled from the organization’s ERP system to create master data. ​

    • Detects Data Anomalies

  • AIOPS.D™ detects different types of data anomalies in the transactions, including errors and missing data fields. It also provides graphical analysis overview and details of anomalies.​​

    • Recommends Corrections

  • AIOPS.D™ provides details for each anomaly on its occurrence and recommends corrections.​

    • Approve Corrections

  • The admin can view all the details and proposed corrections and accordingly approve them. This step can also be done in bulk for multiple anomalies. ​​

    • Maintains Data and Provides Feedback

  • The corrections are written back to the company’s core ERP to maintain and update data. Real-time feedback is provided on task updates via APIs.​​

    • OVERVIEW
    DESCRIPTION
    AIOPS.D™ Autonomous Accountant leverages ML models to continuously monitor data quality issues and autonomously perform corrections, to reduce the time spent on manually intensive month end financial activities. ​

    The solution autonomously compares and cross references data from multiple sources to ensure data quality. It can obtain data from various sources and reconcile it across the systems without any human intervention. ​
    STORIES FROM THE AI VAULT

    CAPABILITIES

    Autonomous detection of data anomalies
    ML-driven engagement for master data governance
    Real-time feedback
    Self-learning mechanism to automate system updates

    MICROSERVICES
    Autonomous Accountant

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    DESCRIPTION
    AIOPS.D™ Autonomous Accountant leverages ML models to continuously monitor data quality issues and autonomously perform corrections, to reduce the time spent on manually intensive month end financial activities. ​

    The solution autonomously compares and cross references data from multiple sources to ensure data quality. It can obtain data from various sources and reconcile it across the systems without any human intervention. ​
    STORIES FROM THE AI VAULT

    PROCESS AREA
    Strategic
    CAPABILITIES

    Autonomous detection of data anomalies
    ML-driven engagement for master data governance
    Real-time feedback
    Self-learning mechanism to automate system updates

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