Robotics process automation (RPA) has been shown to decrease costs, improve control and increase speed for certain capital markets processes, but few organizations have taken the leap. Despite the benefits, workforce virtualization poses a number of challenges when it comes to large-scale implementations.
In this report, Accenture examines the dos and don’ts of workforce virtualization, identifies factors that will help determine an organization’s success or failure, and looks ahead to the robotic workforce of the future.
Learning from Experience: A Guide to an Efficient Virtual Workforce in Capital Markets
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RPA is getting plenty of airtime, but many capital markets businesses do not fully appreciate how this new technology differs from legacy alternatives, such as desktop automation (DA), and emerging solutions, such as digital assistants.
Manual operator initiates a sequence of automated steps
Schedules engine mimics execution of manual user’s repetitive activities without requiring intervention or assistance
Consists of multiple technologies that enable computers to sense, perceive, understand, learn, reason and infer
Computer-generated character that simulates a conversation to answer questions or queries, and provide guidance
Capital markets firms can tap into the full power of virtual workforces by keeping five critical factors in mind:
As interest in virtual workers grows among capital markets organizations, so too does RPA’s potential. Industry leaders are already starting to reap rewards from their virtual workforces, but the benefits will continue to multiply as the technology improves.
Vendors in the field are working feverishly to incorporate additional functionality into their RPA products. The integration of complementary emerging technologies, including speech recognition, natural-language processing and cognitive learning tools, will drastically improve what virtual workers can do and what those who are willing to invest can achieve. These emerging technologies will transform these virtual workforces into autonomous, automated solutions.