Robotic Process Automation (RPA) is proven to deliver cost-savings whenever it is used to automate simple processes. However, for more complex banking processes it comes with a warning to avoid over-utilising it, and, the predominant view is that enterprise architects should focus on using robust, scalable, APIs connected using proven and secure technology. Yet RPA still has its supporters in the banking and financial services world – despite the complexities of Know Your Customer (KYC), Anti-Money Laundering (AML) and Enhanced Due Diligence (EDD) processes.
Accenture Consulting’s whitepaper, ‘Evolving the AML journey: Operational Transformation of Anti-Money Laundering Through Robotic Process Automation’, begins by highlighting the cost-benefits of RPA. It also claims that RPA can boost “throughput and improve quality, while remaining compliant across the AML ecosystem.” The introduction of the 2016 report cites other benefits too: they include an implementation period of just 6-8 weeks, higher staff satisfaction by “eliminating monotonous tasks and allowing individuals to focus on higher value work”, reduce incidents caused by human error and – perhaps controversially to some – fewer full-time employees will also work on repetitive tasks...
Learn more about whether Robotic Process Automation is a stopgap for automating complex banking compliance processes.
Published by Arachnys on 7th January 2020. Client: Arachnys. Author: Graham Jarvis.
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