Overcoming Scalability and Efficiency Challenges in the KYC Proces with Accelirate’s Enhanced Automation
The client’s initial KYC Automation faced significant challenges due to the lack of scalability planning in the original implementation. The bot struggled with handling larger workloads, leading to frequent restarts and significant productivity losses. It was also only able to run during work hours when developers were available to handle errors. The bot’s low efficiency and poor functionality, particularly with creating clunky pivot tables, further hampered the KYC analysts’ review process. Additionally, the previous vendor did not provide any documentation, leaving a huge gap in process knowledge when Accelirate began the engagement.
01- Thorough Process Documentation
Conducted in-depth discussions with business teams to create detailed process documentation, including PDD and SDD, as well as an operational handbook. This ensured knowledge continuity and process clarity.
02 - Enhanced KYC UiPath Template
Implemented a new KYC UiPath template to create richer and more visual Excel sheets for analysts, replacing clunky pivot tables with seasonality dashboards and expected behaviors aggregated at the customer level.
03 - Splitting the Bot into Two Parts
Separated the bot into a dispatcher and a performer. The dispatcher extracts all necessary data during the workday, while the performer inputs and filters data at all hours, allowing individual record retries without delaying the entire file processing.
04 - Proactive Monitoring and Rapid Issue Resolution
Established continuous monitoring of RPA processes to identify and address potential issues before they impact operations, ensuring smooth functionality. Rapidly handled bug fixes and configuration adjustments to minimize downtime.
05 - Enhanced Collaboration
Facilitated effective communication between HR, management, and payroll teams to ensure alignment and timely updates throughout the KYC evaluation process.
06 - Continuous Optimization
Analyzed RPA performance data and user feedback to identify opportunities for improvement and implement enhancements for ongoing process refinement.