Sorry, you need to enable JavaScript to visit this website.

RPA Solution: The Utility Approach

RPA (Robotic Process Automation) has become a buzz word now with almost all major/minor organizations/enterprises. While implementing RPA most teams ends up hitting a wall in regards to cost save and automation rates. The question all of them ask is, how scalable can be the solution? Is there a way the solution can cut across processes? Definitely there can be reusable components, however can we make a solution which can be 100% reusable. Answer to this questions starts when you build your design.

Here we are trying to answer few of these questions though a use case from a Financial Service Provider. The processes have high variation at sub-processes or deeper level. This paper also suggests the kind of solutions or concepts that could be considered while assessing and designing automated solutions for such processes.

Recently, many such scenarios have surfaced while interacting with multiple clients where similar processes have been found in various domains. Moreover, in some of the cases, despite Robotics implementation already in place, client satisfaction with the implementation was low due to negative ROIs, complex design and ineffective or process-specific solution which demand frequent changes.

A solution/approach was conceptualized in one of such projects which could cater to these variations in an effective and efficient way. Instead of moving towards a point to point solution, this solution talks about a utility concept with its governance model mounted over the core functionality, which provides a veneer to the concept. The benefits of this exercise can be in terms of simplified design and solution, increased ROI, quick TAT, enhanced Robot performance and many more.

The solution and approach discussed in this paper are from the standpoint of a Financial Reporting process, although measures have been taken to generalized the concept which might help the business analysts in their approach to process assessment and solution design.

Download the whitepaper