How long do you spend ‘ experimenting’ and ‘fine tuning’ before you adopt a new technology? Clearly if you building a solution from scratch you’ll need to spend time researching, developing and fine tuning your systems.  However automation tools are now proven and available from a variety of vendors as shown by Forrester in diagrams below.

Its thought provoking to see this quote from Duncan Scott.

"We can't spend two years experimenting, we've got to make a call as to where it'll lead us and how it'll change both the IT organisation and the business. It's not just about implementing systems in the old traditional way, but looking across the entire business and seeing what jobs cannot be automated."

So whats the difference between RPA & DPA?

Robotics Process Automation (RPA) - is a form of business process automation technology based on the notion of software robots or artificial intelligence (AI) workers.

Digital Process Automation (DPA) - is the technology-enabled automation of business processes. It is performed to achieve digital transformation or to increase service quality or to improve service delivery or to contain costs. 

Process Automation 

40% of organisations surveyed said they were disappointed with the process of implementing, deploying, and managing RPA, particularly regarding integration and operational complexity. Why ? There are several different flavours of RPA solution and they don’t all work in the same way. Often RPA projects don’t focus on the end to end journey and outcomes, they just use technology to address a particular manual process in a silo.

DPA is used when you don’t want to automate in silos, but instead use RPA as part of an end-to-end digital process automation that includes workflow orchestration and AI.

How do you break silos while allowing for work to move between robots and humans as needed? Pega offers the only RPA solution that is part of a full-stack DPA solution, allowing for seamless end-to-end automation.  Forrester gave the maximum score to Pega’s BPM/Case, Workforce Intelligence, and Robot Manager’s control tower capabilities while validating its importance to successful RPA.