Part 5: Back Office Automation
This new series focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contain a specific use case, the business value derived, and the technology synopsis to achieve the outcome.
Financial Services organizations can automate processes that are manually intensive, time consuming, error prone, and require a staff of 100+ resources using Robotic Process Automation (RPA). They can automate Enterprise Cash Reconciliations and back office processes and reallocate those resources to higher value activities that require deeper analysis. The cash reconciliations proof of concept can be built using RPA robots that are trained with sets of business rules to automate the workflows and complete them in less than time with less human error.