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Hyperautomation blog

Why should businesses consider Hyperautomation in 2021?

March 19, 2021

Most organizations are looking forward to automating business processes to reduce cost and to improve efficiency; RPA platforms have been traditionally driving this transformation. With the increasing demand for a variety of use cases, organizations are increasingly hitting a roadblock with RPA tools and seeking to add intelligence to automation. This is why Hyperautomation has become one of the most talked-about buzzword these days, and discussions around it are expected to be a key focus area across digital strategy plans in 2021 and beyond.

What is Hyperautomation?

Hyperautomation is not simply an extension of robotic process automation (RPA). RPA was only the first step in the direction. Hyperautomation brings intelligence to bear upon automation. This helps in calibrating collaboration and decision-making across businesses. Technology major Accenture refers to this collaborative intelligence, where humans and technology work not just side by side but together.

Automation is at the core of a Hyperautomation platform. This core is flanked by artificial intelligence (AI), machine learning, process mining, data analytics as part of the broader umbrella of hyperautomation. This concept has different names: Gartner refers to it as Hyperautomation, Forrester calls it Digital Process Automation (DPA), and IDC calls it Intelligent Process Automation (IPA).

According to Gartner’s, List of Top Strategic Technology Trends for 2021 - Hyperautomation is a key trend that digital strategy teams should consider.

What does it mean for businesses?

Organizations are often dragged down by “Operational Debt,” the intrinsic issue can be traced back to legacy systems, suboptimal processes and bottlenecks, unstructured data residing in silos, lack of centralized data architecture, and security gaps. Business processes are usually operational using a patchwork of technologies and are not optimized, coherent, or consistent. Collectively, they hamper operational capabilities and dampen value propositions to customers.

Technology tools or products are designed to fulfill an individual purpose. However, Hyperautomation combines multiple technologies, that helps organizations to develop strategic advantages based on the underlining operational environment. It focuses on adding progressive intelligence across workflows than traditional automation solutions. Each of the technology components is designed to enhance an organization’s ability to intelligently automate processes.

Hyperautomation approaches are more impactful solution than traditional automation solutions. It optimizes costs and delivers on the promised ROI. Hyperautomation mindset helps organizations to achieve operational excellence and ensure operational resiliency across business processes.

Hyperautomation benefits:

  • Add decisioning to automation: Businesses can now leverage AI to automate decision making and take live data-driven decisions just as any human operator would do.
  • Enable your workforce like never before: Minimizing time-consuming and repetitive tasks and capturing their tribal knowledge to undertake such tasks will enable them to focus more on business-critical activities.
  • Collaboration on tasks across the organization: Process operators can intuitively automate cross-functional activities which involves collaboration among multiple stakeholders; it reduces cycle time and boosts productivity
  • Seamless system integrations: Hyperautomation unites distributed technology and data storage systems. These systems can now communicate seamlessly with the power of smart integrations.
  • Developing a strategic edge: Hyperautomation prompts all technology components to function in tandem with business needs and requirements. It will help organizations to achieve a state of true digital agility and flexibility.
  • Return on Investments (RoI): Business can now track to optimize the ROI based on processes automated, optimized workflows, and time and costs saved.

About the author

Aritro Chatterjee, Product Management, Kanverse.ai

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