Digital Process Automation vs Robotic Process Automation
Just when the world got used to terms like Business Process Management (BPM) and Business Processes Automation (BPA) along comes a new set of terms and technologies like Robotic Process Automation to confuse us all when deciding which methodology and technology to use to best achieve efficiency in the workplace.
Below is a comparative guide to help you understand the differences between what Digital Process Automation (DPA) and Robotic Process Automation (RPA) have to offer and when to leverage each technology to create time in your organisation.
Intelligent Process Automation (IPA)
Definition: Technology-enabled automation of complex business process leveraging modern technologies that include artificial intelligence and machine learning capabilities to support informed decision making and unattended application.
It can streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs. It mimics the activities carried out by humans and it encompasses the disciplines of Digital Process Automation and Robotic Process Automation.
DIGITAL PROCESS AUTOMATION
ROBOTIC PROCESS AUTOMATION
What is it?
Modern term for Business Process Automation or smart workflow. Technology-enabled automation of complex business process as part of a digital transformation program of works.
RPA is an emerging form of Business Process Automation technology based on the notion of metaphorical software robots or artificial intelligence (Al) workers
What can it do?
It can streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs.
It can improve the speed of a production process by replicating human steps at lightning speed, thereby improving employee and customer service delivery and contains costs.
A consultant leverages Process Automation Tools to produce a list of actions to automate a task or interface to a back-end system using application programming Interfaces (APl's).
DPA is able to leverage artificial intelligence and Machine Learning services to augment the process and assist humans to make informed decisions.
In contrast to DPA, RPA consultants develop the action list by watching the user perform that task in the application's graphical user interface (GUI), and then develop the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automat ion in products that might not
otherwise feature APls for this purpose.
RPA as a discipline is rapidly developing cognitive capabilities by leveraging artificial intelligence and Machine Learning and Fuzzy logic to augment traditional rule based automation.
Best applied in scenarios where Humans are required to make informed decisions,
tracking and visibility of a process is required, the processes span multiple teams and systems.
Processes tend to be more complex in nature with multiple approval steps, loops, escalations, parallel steps, merging, splitting, rule driven logic driving platform feature requirements.