State-Owned Asset Group Company

Revolutionising Financial and Operational Processes with RPA and AI Technologies

 Key Solution: Robotic Process Automation (RPA) & AI Document Processing

Challenge

State-owned asset group companies face significant challenges in managing extensive and complex financial and operational tasks:

  • High manual workload: Tasks such as invoice verification, payment processing, and logistics information reconciliation require repetitive, time-intensive manual effort.
  • Data inconsistencies: Multiple systems (16 banks, 8 business systems) and paper-based workflows lead to errors and inefficiencies.
  • Operational delays: Manual processes slow down reporting and create bottlenecks in decision-making.
  • Compliance risks: High-volume manual operations increase the risk of non-compliance and errors in critical processes.

Solution

By deploying 1 controller, 6 robots, and an AI platform, 5 key scenarios were automated to streamline operations:

Before Implementation:
  • Manual processes consumed excessive time, slowing end-to-end operations significantly.
  • Human errors were common due to repetitive tasks and data inconsistencies.
  • Frequent errors, impacting business continuity.
  • Increased the risk of non-compliance, exposing the company to potential liabilities.
After Implementation:
  • End-to-end automation increased efficiency by 90%.
  • 100% accuracy achieved through rule-based automation and system integration.
  • 24/7 automated operations reduced the error rate to 0%.
  • Automation ensured a 100% compliance rate, eliminating risks associated with manual processes.
Impact

100% Accuracy

100% Compliance

0% Error Rate

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