Hyperautomation – Hype or Reality?

by Jesse Spencer | January 12, 2021

Hyperautomation isn’t just another iteration of robotic process automation (RPA). It’s not something you can buy, and if you think it’s hype, you don’t know what you don’t’ know.

Why Hyperautomation Represents a Massive Pivot

Far too many vendors have attempted to be all things to their customers – resulting in failures and stunted growth for customers. Savvy automation teams have learned that the most effective approach to achieving greater return on investment is combining multiple tools from multiple vendors.

But this strategy is not for the weak of heart or brand-new automation journeys. Architecting “Gen 2” automation strategy is challenging and requires both time in the automation trenches and a deep understanding of business models and processes.

hyperautomation rpa pivotThe pivot happens when there is practical experience in the limitations of RPA, and the understanding that further investment must be made in both human capital, and complementary technologies.

Moving Past the Low-Hanging Fruit

Successful first-generation automation strategy is focused on the low-hanging fruit of simple, well-defined, and highly repetitive tasks. These are easily handled by a purpose-built RPA tool. By starting with these types of use-cases, organizations will see value in building automation teams that combine the technical, subject-matter, and people-expertise needed for success.

Moving past simpler automation tasks is the hallmark of an organization moving into Gen 2 automation – hyperautomation.

hyperautomation - gen2 automationThese organizations are ready to tackle complex, subject matter intensive processes that often involve a high degree of decision-making and experience-based judgement.

And the good news for smaller players in the industry? Automation demands results, so vendors able to effectively deliver on niche value propositions have a seat at the table.

Mainstream RPA vendors will never be able to provide the level of sophistication provided by adjacent technology dedicated to solving very specific and challenging automation requirements.

Your Automation Center of Excellence Will be Judged

Business leaders will demand more out of automation investments. As early wins create new budgets and funding, increasing pressure will be applied to solve challenging human-centric processes.

You will be judged on your ability to understand, apply, and use an architecture of complementary technologies – and not just disparate coding languages and open-source machine learning tools. You don’t have the luxury of time to build robust and scalable platforms to support enterprise automation projects with looming deadlines and scalability requirements.

Automation designers, architects, and developers need to understand how to combine the tools of process mining, integrated business process management, decision modeling, intelligent document processing, analytics, cognitive automation, and machine learning to create excellent experiences for both business users and especially customers.

Schedule a call to deepen your understanding of how to use intelligent document processing to tackle challenging document data integration.

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