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.
Solutions
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