"The real challenge — to scale beyond the initial few low-hanging fruits of routine processes — cannot be solved by a single tool or with siloed strategies. Without the right portfolio of technologies, a decision framework and prioritization of use cases, software engineering leaders will be unable to optimize organizational efficiency, efficacy and agility," as per Gartner.*
Software engineering leaders are often pressured to deliver immediate value using Robotic Process Automation (RPA) that relies on automation only at the task level. However, this siloed automation, often does not scale up to deliver the long-term, strategic benefits of Hyperautomation.
Hyperautomation – a holistic and disciplined approach towards automation – involves a set of automation technologies that are effectively orchestrated to deliver end-to end intelligent automation.
This approach underscores the need to move beyond tactical, task-based automation and automate all business processes that can or should be automated.
Not all business processes are simple, rules-based, and short-running processes. Many processes include complex business rules, human-led decision-making, and continuous optimization. To automate complex processes at an enterprise level, businesses must expand beyond siloed choices like RPA to build a strategic technology portfolio that delivers Hyperautomation.
But the overlapping capabilities and marketing hype of numerous automation technologies have made it difficult for CIOs to choose the best combination of technologies to deliver Hyperautomation.
In this blog, we will talk about key frameworks that are recommended by Gartner to build an effective Hyperautomation portfolio. Here are the three considerations:
A Hyperautomation capability-mapping exercise should start with a business framework that examines your organization, its goals, and strategies to deliver on those goals. The planning phase is often completed in stages such as:
Determine key outcomes and identify key metrics to measure those desired outcomes. Once you determine your outcomes, let’s say improved efficiency and agility, prioritize your automation use cases accordingly that can deliver these outcomes.
To effectively identify automation opportunities, align your use cases under three broad categories of automation – Task automation, Process automation, and Augmentation. Are the processes simple and involve routine tasks, or are they more complex, or do you need to enable self-service solutions –ask these questions and prioritize use cases.
Technology capabilities are the key ingredients for building the Hyperautomation portfolio. Each technology has different core characteristics and hence their capabilities are different. In the following graphics, Gartner highlights eight key capabilities that are required to support Hyperautomation goals.
Selecting the right set of technologies is not about simply comparing one tool to another tool. Rather, businesses should focus on determining the best combination of complementary technologies.
To build an effective technology portfolio, you must prioritize the capabilities required for each hyperautomation initiative, and then evaluate the products and technology features that optimally align with those needs.
Check the following figure that illustrates the technology evaluation criteria driven by eight key hyperautomation capabilities.
It is essential also to consider the following four criteria apart from evaluating automation technologies for their fit with your business goals.
Nividous intelligent automation platform can help you in achieving the greatest business value from Hyperautomation.
*Beyond RPA: Build Your Hyperautomation Technology Portfolio, Saikat Ray, Paul Vincent, Keith Guttridge, Frances Karamouzis, 22 October 2021
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