Robotic Process Automation (RPA) and Low-Code: When Should You Use What?
What does RPA have to do with low-code? Can one replace the other? When should you use what? These are just a few questions answered in this blog post.
Benefits of a solid, well-executed hyperautomation strategy include:
Common hyperautomation technology includes:
Many, if not most, of these technologies, are fortified with or connected to tools with artificial intelligence (AI) and machine learning (ML) algorithms that can automate next steps in processes and perform intelligent analysis.
High-volume, repetitive processes that still involve manual work by several people across departments are good candidates for hyperautomation.
It is also beneficial to focus on processes that are time-sensitive (i.e., faster for machines), require audit trails, or would not even be possible without automation due to data volume, especially those that benefit from AI and ML analysis.
Here are a few examples of hyperautomated processes:
Hyperautomation is often managed by Chief Information Officers (CIOs) or Chief Digital Officers (CDOs). Optimally, these executives should work with fusion teams to identify processes ripe for automation, as well as to vet the tools and technologies to be implemented and integrated into workflows.
While each fusion team can be responsible for implementing technologies for their function, it is crucial to have a holistic overview of all hyperautomation initiatives to identify overlap where automation tools can be used across functions and departments, spot opportunities for collaboration, and minimize doubling of efforts and wasted resources.
Organizations should start with process discovery to identify all processes that need automation. To determine prioritization of projects, that list should be analyzed in terms of alignment with key business goals, available resources and budget, and breadth of use across the company.
Fusion teams can then take responsibility to vet and implement the technologies and integrate the automated processes within existing systems and workflows. This process will be iterative, as the teams evaluate, refine, and optimize the automation technologies and find new opportunities for use.
Gartner advises that fusion teams engender the best results for hyperautomation efforts.
In a recent survey, Gartner found that the three top ways to increase likelihood of success of hyperautomation initiatives involved taking the work of business technologists (aka citizen developers, who are key members of fusion teams) seriously, ensuring responsiveness to business technologists’ needs, and brokering connections and communities of practice.
Other best practices include:
In its latest Magic Quadrant for Low-Code Platforms, Gartner identified low-code platforms as a key component for a successful hyperautomation strategy.
“Organizations are increasingly turning to low-code development technologies to fulfill growing demands for speed application delivery and highly customized automation workflows. Equipping both professional IT developers and non-IT personas — business technologists — with diverse low-code tools enables organizations to reach the level of digital competency and speed of delivery required for the modern agile environment.”
Low-code development provides a rapid application development framework that can be used to build applications that incorporate and orchestrate the various automation technologies involved in hyperautomation. It enables organizations to implement automation solutions more efficiently and empowers non-technical stakeholders to participate in the automation process.
A high-performance, low-code application development platform like OutSystems allows you to deliver brilliant web and mobile workforce apps, employee portals, and operational dashboards. It offers a best-in-class user experience and superior integration with third-party systems of record. It is, therefore, a great tool for building custom applications that automate and orchestrate your unique cross-functional workflows.
These allow for greater productivity and operational efficiency. OutSystems’ AI-powered, automated impact and dependency analysis also allows you to take an adaptive and iterative approach to process improvement.