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Riding the Hype Cycle of RPA Technology

>>Riding the Hype Cycle of RPA Technology

Accelerating RPA success, scaling beyond siloes, and becoming a hyperautomation organization.

Recently, an article touted that the “RPA hype is over.” Some took this statement to mean that robotic process automation (RPA) is dead, but far from it. While the hype is dying, RPA is just getting started. Hyperautomation is the future.

Wireframe hand turning a knob and selecting RPA mode.

RPA Hype Cycle

According to Gartner, the RPA market has grown 60+% for software, 100+% for consulting, and 400% for managed services. It is transitioning through a typical technology lifecycle just at record speed.

RPA, as an intelligent automation technology, has proven its value as a productivity tool, providing greater efficiency and freeing up resources – human and financial – to invest in market-driven initiatives and business objectives.

Overcoming Common RPA Challenges

A Gartner webinar highlighted that there are, naturally, growing pains as the market transitions through the slope of disillusionment.  They shared that, through 2021, 40 percent of enterprises will have buyer’s remorse as they realize some of the errors of their ways and find the best path forward.

Some are facing issues like developing RPA as shadow IT, keeping capabilities siloed, misaligning RPA’s use to a business case, and struggling to scale. In this time of transition, companies need to focus on maximizing their ROI, accelerating adoption, and look for new areas to add breadth and depth to RPA’s potential.

What is hyperautomation?

RPA, as an intelligent automation technology, is evolving into a more significant market direction called hyperautomation.  Gartner chose it as their number one tech trend for 2020.

With RPA at its core, hyperautomation will bring complementing technology together (co-RPA) and take automation beyond a task-centric focus. Gartner predicts that, by 2021, task-centric RPA will become obsolete, and process-centric RPA will become the focus.

Technologies like ingestion engines, business process mining, machine learning, customer experience/UX, process analytics, iBPMS, and iPaaS will become table stakes as part of the digital ops technology toolbox. Gartner predicts that, by 2022, 80 percent of RPA-centric automation implementations will derive value from complementary tech like these.

Hyperautomation will be a driving force for RPA coming out from the back-office and into front-office functions like sales, customer experience, and service. Gartner predicts that, by 2023, 30 percent of RPA will focus on front-office operations.

How should you implement RPA, now, and when creating your automation roadmap?

RPA Explore Stage: Are you just starting to deploy RPA technology?

RPA Organize Stage: Have you created your RPA proof of concept or implemented your first RPA deployment?

  • Continue to build desirability and awareness across organization for customer delight
  • Engage portfolio planning and prioritization and choose the weighted shortest job first
  • Ensure that your RPA project has quantifiable goals that measurable output to prove ROI
  • Engage IT and business unit leaders who can ensure adoption success
  • Socialize to and train users to understand the value added by RPA and how they will benefit
  • Learn from the success of others – RPA case study #1, RPA case study #2
  • Read our white paper on how to overcome common challenges to RPA success

RPA Scale Stage: Are you looking to scale RPA initiatives, adding breadth or depth to adoption?

  • Look beyond the back-office for value use cases in the front-office
  • Explore high impact, high visibility use cases that have the potential to enhance customer experience, service, and satisfaction
  • Start thinking about complementary technologies, like machine learning and AI, and how they could fit as part of a hyperautomation roadmap
  • Design strategic, collective initiatives for automation rather than focus just on islands of task automation
  • Sustain intelligent automation desirability across the organization for customer delight
  • Create a business continuity plan
  • Plan to create an RPA Center of Excellence (COE)

Looking to launch, accelerate, or scale RPA technologies?

We can help you launch, accelerate, and scale RPA technologies, as well as plan your roadmap as a hyperautomation organization. Contact SDLC Partners to discuss your RPA experience.

Paul Joseph

Insight Contributor

Paul Joseph, APMCSMAISPMPPMI ACPAA

Robotic Process Automation
Service Leader

Vishakh Viswanathan, SDLC Partners

Insight Contributor

Vishakh Viswanathan,

Senior Consultant