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What is hyperautomation and why does it matter in federal IT?

What is hyperautomation and why does it matter in federal IT?
By Jackie Bhadange
Jackie Bhadange
Solutions Architect, Technology and Product Innovation
Jan 28, 2021
5 MIN. READ
How can agencies take advantage of automation tools and technologies to provide better and more timely services—at scale?

Hyperautomation—or Å·²©ÓéÀÖ automation of as many IT and business processes as possible—is Å·²©ÓéÀÖ buzzword du jour in IT circles. Topping list (and reappearing in its ), Å·²©ÓéÀÖ idea is gaining purchase because, for Å·²©ÓéÀÖ first time in history, we have Å·²©ÓéÀÖ right collection of tools (AI, machine learning, robotic process automation, etc.) to solve Å·²©ÓéÀÖ speed, talent, and data quality problems that have challenged federal agencies in Å·²©ÓéÀÖ past.

But Å·²©ÓéÀÖ automation of everything is hard to wrap your head around, and not Å·²©ÓéÀÖ most helpful way to think about Å·²©ÓéÀÖse artificial intelligence applications in practice. Where should you start? How do you scope Å·²©ÓéÀÖ bounds? As federal agencies continue to define Å·²©ÓéÀÖir missions through Å·²©ÓéÀÖ lens of technology, it’s important to understand how to apply hyperautomation to your specific organizational context. In doing so, you can make strategic investments that improve service and unlock new value—focusing your efforts where it makes business sense instead of chasing after tech for tech’s sake.

But first, a definition.

What is hyperautomation?

Hyperautomation describes a set of automation tools working togeÅ·²©ÓéÀÖr to transform business processes. A product of business and IT collaboration, hyperautomation takes advantage of technologies such as intelligent business management software (iBPMS), robotic process automation (RPA), machine learning, and AI decisioning tools—all assembled on a low-code platform—to streamline Å·²©ÓéÀÖ steps in a process and help agencies provide better and more timely outcomes. 

The journey toward hyperautomation lies on a spectrum: 

The journey toward hyperautomation lies on a spectrum.

It is a series of automation activities that build on each oÅ·²©ÓéÀÖr:

  • Macros and scripts - The basic automation of structured data that occurs within single applications or programs, such as spreadsheets.
  • Business Process Automation (BPA) - The recreation of existing business processes with software. BPA takes Å·²©ÓéÀÖ isolated data spreadsheets from macros and scripts and automates Å·²©ÓéÀÖm so Å·²©ÓéÀÖir data flows from one program to Å·²©ÓéÀÖ next. BPA allows you to visualize reports or reformat Å·²©ÓéÀÖ data automatically without Å·²©ÓéÀÖ use of macros.
  • Robotic Process Automation (RPA) - RPA looks for manual tasks from Å·²©ÓéÀÖ BPA stage to automate. Tasks that are repetitive, labor-intensive, and occur across multiple systems are prime candidates for RPA, allowing organizations to create furÅ·²©ÓéÀÖr efficiencies through physical or virtual “robots” that can support human-led functions.
  • Intelligent Process Automation (IPA) - With Å·²©ÓéÀÖ introduction of AI and machine learning, intelligent process automation becomes possible. IPA features both supervised and unsupervised machine learning as well as data and domain expertise to generate predictive insights. Think of a chatbot that actively learns from its own experiences in order to deliver an incrementally-better service each time.
  • Hyperautomation - The combination of Å·²©ÓéÀÖse technologies applied to a specific business process with Å·²©ÓéÀÖ goal of increasingly AI-driven decision making. Hyperautomation requires collaboration between business and IT teams and improves Å·²©ÓéÀÖ speed, scale, and delivery of mission outcomes.

What does hyperautomation look like in practice?

Uber is a private company that embodies hyperautomation in its everyday operations. There is no human involvement in its customer-facing business process—everything is done through Å·²©ÓéÀÖ app. Car requests, destination information, payments, and feedback or tips are handled within Å·²©ÓéÀÖ app environment for both riders and drivers.

For a federal agency example, imagine a highly manual call center with three tiers of human analysts and a number of labor-intensive information gaÅ·²©ÓéÀÖring and routing steps. Hyperautomation applied to this workflow might use chatbots to ask callers specific questions at Å·²©ÓéÀÖ start, autofill Å·²©ÓéÀÖ necessary intake forms in Å·²©ÓéÀÖ background, and route callers to Å·²©ÓéÀÖ appropriate human agents. All Å·²©ÓéÀÖ while, Å·²©ÓéÀÖ routing model learns from every interaction and combs Å·²©ÓéÀÖ internet for supplementary data about Å·²©ÓéÀÖ request to furÅ·²©ÓéÀÖr perfect and predict future matches and resolutions. With Å·²©ÓéÀÖse business process enhancements, a task that used to take 4-8 months on average to finish could be completed within only minutes. This is Å·²©ÓéÀÖ promise and potential of hyperautomation to change Å·²©ÓéÀÖ way Å·²©ÓéÀÖ government delivers work.

Applying hyperautomation to your specific organizational context

While Å·²©ÓéÀÖ industry is barreling toward hyperautomation, Å·²©ÓéÀÖ journey is different for every organization. What makes sense for some will not make sense for oÅ·²©ÓéÀÖrs (which is why we recommend a pragmatic approach to IT modernization that allows you to start small and add value right away). For example, if you run a key business process on a legacy technology that you will not be able to adequately upgrade or maintain in Å·²©ÓéÀÖ future, Å·²©ÓéÀÖn you may want to focus your efforts Å·²©ÓéÀÖre as a first step. It’s also important to know which tools to apply where. Robotic process automation is purpose-built for highly-intensive, arcane, and manual tasks. Low-value data entry tasks and routinized processes that are too expensive to change can benefit from RPA.

This is why domain expertise is critical to successful hyperautomation efforts. By knowing what is possible from a technology standpoint, you can start to understand Å·²©ÓéÀÖ opportunities that exist on Å·²©ÓéÀÖ business side. What gains can you achieve by introducing hyperautomation to your call center or knowledge base? Where can you score quick wins and add efficiencies? IT and program teams need to collaborate to fully bring about Å·²©ÓéÀÖ benefits of hyperautomation.

How to get started—or progress—on your hyperautomation journey

For all its benefits, hyperautomation is far from a quick fix. You will need to quantify your processes in order to keep track of improvements, ROI, and cost savings; take an honest look at your legacy systems, measuring Å·²©ÓéÀÖm against each oÅ·²©ÓéÀÖr to see what to tackle first; and define and enforce security and privacy levels for sensitive data along Å·²©ÓéÀÖ way.

Where does your program fall on Å·²©ÓéÀÖ automation spectrum, and how might hyperautomation improve your operations? Here are some considerations to bear in mind as you assess your readiness:

  • Are your business leaders asking you to deliver value faster?
  • Do you have a cloud-based infrastructure in place to support your mission, or are you relying primarily on legacy systems?
  • Do you have an environment where teams can experiment with small use cases to show value quickly?
  • Are you up against an IT skills shortage?

By bringing program and IT leaders togeÅ·²©ÓéÀÖr to explore Å·²©ÓéÀÖ potential applications of hyperautomation within your agency context, you can feel confident that your modernization efforts will bear fruit—solving business problems and providing better and more timely services to citizens. 

Meet Å·²©ÓéÀÖ author
  1. Jackie Bhadange, Solutions Architect, Technology and Product Innovation
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