Overcoming key business challenges with robotic process automation

We all know the challenges currently faced by IT in driving modernization and being nimble to meet business demands keeping in mind factors such as cost, productivity, efficiency, dependency, SLA targets and more. Organizations spend a lot of money and time to mitigate these challenges in various ways and come up with multiple solutions, of which automation has a major focus.

Scripting of manual administration tasks was part of the old era of automation. Scripting and basic automation is not a solution for complex needs, but it does provide important building blocks for a complete solution and paves way for Run Book Automation (RBA) and then Robotic Process Automation (RPA).

In this blog, I’d like to throw some light on the differences between RBA and RPA.

Runbook automation software helps in automating complex procedures which are made up of several activities. For example, automating a server build task which would require an external input or intervention for an execution. RBA follows defined sequence of tasks arranged as workflow, Process fail to complete in case of any caveat in the defined workflow. Runbook automation often requires a standardization as per the environmental change.

Robotic process automation approach helps automate the task with Artificial Intelligence (AI) and machine learning. RPA reduces human/external intervention to automate the task. RPA uses predefined knowledge items, which hold the information on what to, where to, and when to perform stated activities/tasks.  Knowledge items are atomic in design increase reusability, eventually reducing coding effort. RPA tools are sophisticated enough to make decisions in choosing the relevant KIs to resolve the issues and have self-learning capabilities with previous experiences. When I say “previous experience with self-learning”, it means, though you define multiple KIs to resolve the issues, like humans, RPA eventually learns the shortest path to resolve the issues on multiple runs for the same issue. The focus of robotic process automation has a larger scope in the enterprise level.

Below is a basic illustration of an issue and the journey for RBA and RPA. RPA finds a way to come out with the solution using predefined instructions and applying artificial intelligence for different issues with the same root cause. As mentioned previously, RPA doesn’t follow sequential steps, instead RPA chooses the right path (KIs) to resolve the issues with previous experience that helps reduce the time frame to resolve the issues. Just like any human the AI Engine should has the capability to eject/ exit with the task completed history and return relevant logs collected. We should have better operational benefits in the enterprise-level with RPA.

Runbook Automation

Multiple execution follows the same sequence:



Robotic Process Automation

Multiple execution need not to be in the same sequence:



Automation accelerates business processes, urging IT companies to build RPA solutions with their own cognitive capability and gain competitiveness. Therefore, a number of Robotic process autonomics software are available in the market. This might be in the form of RBA or RPA.  All you should know is which application would suitable to your business/infra environment. Following are some of the business benefits of robotic process automation:

  • Higher productivity
  • Greater performance and quality
  • Enhanced analytics and magnifying capabilities

Robotic process automation concept builds competitive transformation into IT business solutions and we all know that RPA would grow to its potential. But this is not a direct deploy-and-implement solution. Enterprise customers are required to customize the RPA solution according to their infrastructure for the enterprise-level implementation with defined policies. How can you be sure the RPA tool has the expected artificial intelligence, or as claimed by the vendor? Virtusa partners with multiple product based company helps our customers for analyzing their infrastructure and suggesting them on the best automation solution to meet their needs. Also ensure “Automation – tool expertize” to help our customers in developing the solution and supporting their end to end infra environment.