Hyper­automation

What it could mean for your business

Business People Walking Across the Corridor, Blurred Motion

Analyst firm Gartner rolled out hyperautomation as one of its key trends in 2020 to describe what happens when companies “rapidly identify and automate as many business processes as possible.”

What it is

Hyperautomation is here. But it needs to be done right.

Hyperautomation is an important idea that will separate companies that automate well from those that don’t. But to truly accelerate business processes and achieve maximum ROI, the hyperautomation journey needs to advance beyond just a collection of tools that solve specific problems and on a wider spectrum of business functions and knowledge work.

Why it’s needed

Automation overlaps with many related areas — process mining, machine learning, analytics, iPAAS, iBMPS, decision modeling and RPA. While it’s easy to recommend that all these systems work together synchronously, executing on this is a different matter.

But here’s the catch: each only adds a patchwork solution on top of already existing patchwork solutions. Especially RPA, which is good for automating repetitive screen tasks, not end-to-end business process automation.

Enterprises are left with a stack of internal systems duct taped together, with simplistic automations running on top of legacy software. This has the indirect effect of cementing the legacy software in place. Instead of digging deep to find out why their tower is leaning, companies just stack another wobbly layer on top.

Leaders must now look far beyond quick fixes and temporary patches. They need a thoughtful, strategic approach to digital transformation, one that takes a more overarching view.

Hyperautomation platforms -- end-to-end, agile, iterative and incorporative of new information and workflows -- will be how next generation companies streamline business processes and save valuable time.

Where traditional infrastructure is usually heavy and stagnant, this new platform can keep pace with fast-changing businesses. Larger enterprises already have a data advantage so a powerful but nimble hyperautomation platform will give companies a competitive advantage -- evening the playing field and ensuring market diversity.

How we get there

We believe the fastest path to hyperautomation is an end-to-end platform in which automations are already integrated with:

AI

explode the automation opportunities with machine learning (ML), natural language processing (NLP),  optical character recognition (OCR), and  AI computer vision

iBPMS

combine business process management (BPM) software with additional capabilities such as AI to help companies dynamically automate more types of start-to-finish experiences

Ingestion engines

bring in data for process mining, decision modeling, machine learning and business process management

Process mining

create a digital clone of your business process to analyze inefficiencies and automation opportunities

Decision modeling

model the logic of a decision that can be used in multiple processes

RPA

automate mundane rules-based business processes

iPAAS

connect software applications that are deployed in different environments

Analytics

measure and demonstrate the ROI of automation and its impact

UX

provide a streamlined interaction between automation and the user experience