3 men sat in a relaxed meeting room with a whiteboard filled with multipcoloured post-it-notes with a fourth man stood gesturing to the board with a smile 3 men sat in a relaxed meeting room with a whiteboard filled with multipcoloured post-it-notes with a fourth man stood gesturing to the board with a smile

Blog | Intelligent Automation, RPA

What you need to know about Process Discovery for Intelligent Automation

Feb 1, 2021 | 5 min read

Robotic Process Automation (RPA) has become one of the vital transformative technologies driving innovation in today’s business world. The crisis brought by the COVID19 pandemic has caused organizations around the globe and across industries to seek technological solutions that can help automate highly-manual, repetitive business processes and drive better business resiliency.

With so many organizations taking their first steps in their RPA journey, a key question continues to be central for these organizations. How to best capture and understand how and what business processes should be automated?

For most organizations getting started with RPA, the most challenging part is understanding what to automate and prioritizing those automation candidates. Process Discovery is crucial to a successful RPA initiative because it records and analyzes an employee’s actions at a very detailed level to decide which is the best approach for implementing automation. Without the proper understanding of the business processes that are candidates for automation, we see over 40% of RPA projects fail.

TACKLING PROCESS DISCOVERY

For organizations that are inexperienced in highlighting automation candidates, it is essential to have Process Discovery at the center of their RPA initiative. This way, these adopting organizations can understand the best processes that could benefit from automation to achieve a fast ROI. For organizations with previous experience with RPA and Process Discovery, it’s always best to maintain Process Discovery best practices and perform an end-to-end Process Discovery for the business process they seek to automate.

WHAT ARE PROCESS DISCOVERY BEST PRACTICES?

It’s important to remember that just because we can automate a process, it doesn’t mean it should be. We advise organizations who are new to RPA to start by identifying rule-based, standardized processes that cross multiple systems, requiring a non-intrusive approach to automation.

Organizations must evaluate RPA opportunities to find accumulated “swivel chair integration” (rekeying data between systems). Areas where they can identify where humans perform work involving structured, digitized data processed by pre-defined rules. Of course, as automation technologies advance with more AI capabilities being added, more complex long running workflows with unstructured data can also be considered for automation.

Without the addition of complex AI skills, the best processes suitable for automation should meet the following characteristics:

Highly manual and repetitive. The business processes that staff members perform daily and regularly are prime candidates for automation and yield the fastest ROI. In contrast, automating business processes that employees perform sporadically may generate a lower ROI and impact on the organization.

Rule-based. The business processes that are best suited for automation should consist of a defined set of pre-defined rules that all staff members follow to complete the task.

Mature and standard processes. Business processes selected to be automated candidates must be well-established processes and should not change frequently. The team involved in analyzing an automation candidate’s suitability should keep in mind that a process must have defined process steps, a defined execution order, and defined systems where the process runs. If an organization encounters business processes performed in multiple ways and yields the same results, said processes must undergo a process standardization procedure to optimize and standardize them before being subjected to automation.

Structured data inputs. Organizations need to ensure that all data used by a business process is structured and digitized. Some of the data inputs that RPA can interact with are Excel spreadsheets, databases, JSON files, HTML files, XML files, PDF files, TXT files, and many more. But if the data is in an unstructured format or not digitized, for that case, RPA can leverage AI-powered technologies like intelligent OCR (Optical Character Recognition) and NLP (natural language processing) to scan data, digitize it, and structure it.

Low exception handling required. If a business process generates exceptions regularly, that process is not a prime candidate for automation. But, if an organization wants to automate a business process that is prone to exceptions, for that case, the organization must analyze that process and determine if the organization should make standardization efforts, so the process is more viable for automation.

Multiple systems interaction. Business processes that require staff members to interact with various systems are prime candidates for automation since robots can interact with any software performing any task as a human would.

PROCESS MINING: AN ESSENTIAL TOOL FOR PROCESS DISCOVERY

As organizations understand the characteristics that business processes must have to be prime candidates for automation, it is also essential that organizations are leveraging the right tools to identify the business processes that can be top automation candidates.

For Process Discovery, we use tools such as UiPath Process Mining to help organizations identify prime automation candidates across the enterprise.

By leveraging an organization’s business applications’ existing data, we can get a deep understanding of complex business processes. Providing a high-level view of an organization’s processes, we produce detailed graphs that layout each process in chronological order from end to end.

Furthermore, by using Process Mining we can help organizations identify inefficient processes that would be a good fit for automation. By highlighting where the bottlenecks are, and what weighs down a process, we can assess the impact this inefficient process has on the bottom line.

RPA stakeholders can then make data-driven decisions about automating critical business processes. Additionally, this allows organizations to use smart tags and KPIs to monitor their business processes, understand what is working and what is not, and how the organization can optimize those processes.

STANDARDIZING AND PROCESS OPTIMIZATION

At the beginning of this article, we talked about how the COVID19 crisis has accelerated organizations’ automation adoption across industries. Today, the crisis has deepened the need for organizations to do more with less. Therefore, lean methodology has become vital to automation success and building business resiliency fast.

Lean Sig Sixma (LSS) is a crucial complement to RPA. With LSS, organizations manage to reduce the manual load by eliminating waste and simplifying and standardizing processes. Still, organizations reach a point where they realize they cannot eliminate all the grunt work. This point is where RPA comes into its own, expanding the LSS toolkit with an approach that empowers the business to continue to improve and move up the sigma scale without the need for disruptive IT initiatives.

HOW DOES LEAN SIX SIGMA HELP AN ORGANIZATION WITH RPA?

Identify the right candidates. Business processes that are hindered by bottlenecks are top candidates for RPA. LSS tools such as bottleneck analysis can help organizations identify the right candidate business processes within the enterprise by highlighting constraints.

Improve process stability. LSS tools can help organizations improve a business process’s stability by reducing variation in the process and making the process more suitable for automation.

Enhance process robustness. Leveraging LSS tools such as failure mode and effects analysis (FMEA) will help organizations uncover the potential failure modes of a business process and develop suitable mitigation actions for them, making the process a better candidate for automation.

BEST PRACTICES TO KEEP IN MIND WITH LEAN SIX SIGMA FOR RPA

As we have discussed, Process Discovery is an essential part of every RPA initiative. Organizations must keep in mind that Process Discovery includes task capturing, process analysis, and granular documentation as some of its core parts.

When an organization does not properly perform Process Discovery, it could face increased costs and ineffective automations and ultimately fail its RPA journey. By leveraging the right Process Discovery tools and filtering processes with the right optimization approach, organizations can ensure streamlined planning and implementation of RPA across the enterprise.

Download our eBook and learn about what business processes have the highest automation potential within your organization’s industry, and gain visibility of the critical business areas best suited for automation.

If you would like to know more about Roboyo’s RPA solutions, our automation experts can help take your enterprise to the Next Level. Now

Book a meeting today.

Get next level insights

Never miss an insight. Sign up now.

Related content

TAME YOUR DATA MONSTER WITH IDP TAME YOUR DATA MONSTER WITH IDP

TAME YOUR DATA MONSTER WITH IDP

A major challenge that businesses face in managing the digital landscape is the maintenance and storage of data. By implementing intelligent automation technologies such as RPA and IDP, we can start to work our way through the mountain of data being created.
Read more
Intelligent Automation Glossary Intelligent Automation Glossary

Intelligent Automation Glossary

This handy guide will take you from Automation newcomer to Automation maestro in just a few minutes.
Read more
Utilizing the combined forces of Industry 4.0 and Intelligent automation Utilizing the combined forces of Industry 4.0 and Intelligent automation

Utilizing the combined forces of Industry 4.0 and Intelligent automation

The introduction of connected technologies opens a world of possibility for intelligent automation to both support the digitalization journey of traditional manufacturing firms as well as re­engineering value creation and driving business transformation.
Read more
Shaping the future of Test Automation with RPA Technology Shaping the future of Test Automation with RPA Technology

Shaping the future of Test Automation with RPA Technology

As business processes evolve and the technology for those processes becomes more intelligent, discover how to extend your RPA platform and make the best use of Test Automation.
Read more

Get to Next level. NOW.

Register your interest for Roboyo's All Eyes on Automation event - October 2022

Get in touch

JOLT

IS NOW A PART OF ROBOYO

Jolt Roboyo Logos Jolt Roboyo Logos

In a continued effort to ensure we offer our customers the very best in knowledge and skills, Roboyo has acquired Jolt Advantage Group.

OKAY

AKOA

IS NOW PART OF ROBOYO

akoa-logo akoa-logo

In a continued effort to ensure we offer our customers the very best in knowledge and skills, Roboyo has acquired AKOA.

OKAY