In today’s evolving business landscape, hyperautomation is the path to capture business growth and digital transformation. Hyperautomation is one of the Top Strategic Technology Trends for 2022, according to Gartner, and it will help businesses develop and become more resilient by quickly identifying, evaluating, and automating as many activities as feasible.
Additionally, Gartner predicts that the global market for software that facilitates hyperautomation will reach $600 billion by 2022. The conclusion from this is that to achieve next-level digital transformation with a varying degree of success, it is essential to define what Hyperautomation is and the demand to look at what’s beyond RPA (Robotic Process Automation).
The Current Market Stance-
Businesses and technology innovators prioritize routine automation over delayed objectives. Although RPA is a non-invasive integration method, processes aren’t always easy, routine, and consistent. They frequently entail clever automated decision-making and refinement, may be lengthy processes and call for human involvement. The true scaling problem cannot be tackled with a single tool or fragmented approaches since it goes beyond small goals or routine procedures with minimal complexity and significant returns.
For this reason, end-to-end automation that goes beyond RPA is required in order to strengthen business processes. To automate and enhance business operations, functional and structural blocks can be integrated through an efficient mix of technologies and tools known as ”Hyperautomation.”
Suggested Reading: What is Hyperautomation?
Hyperautomation: The Transition from Robotic Automation
Robotic automation is a probabilistic integration solution that uses planned UI (User interface) interactions to simulate human behavior to automate regular and repetitive processes. This involves two types. The first type is unassisted, which is deployed on central servers and automates end-to-end chores and workflow scheduling, and the second one is assisted, which is installed on individual PCs and activated by human intervention.
What Distinguishes RPA from Hyperautomation?
Intelligent automation uses artificial intelligence (AI) technology to replicate human intellect when processing higher-function activities requiring some level of reasoning, judgment, decision-making, and analysis. RPA typically focuses on automating repetitive and frequent rules-based operations.
On the other hand, a hyperautomation enablement platform conveniently facilitates the integration of automation tools, AI technologies (such as Deep Learning, Machine Learning, Speech, Vision, and Natural Language Processing), and decision support systems. From task automation and synchronization to intelligence providing predictive insights, guided suggestions, data mining, and analytical decision-making, hyperautomation enablement supports higher-level functioning.
Knowing What Suits a Business-
No one solution can meet all needs, despite the fact that the industry is making progress in several technology areas along the automation spectrum. RPA, Intelligent Automation, or Hyperautomation should be used or leveraged by organizations based on their unique core strategies, technology goals, and business objectives.
If a company or its IT qualifications fail, its efforts to sustain itself or get the desired ROI also collapse. Hyperautomation enablement software, which serves as the edifice to reimagine products, offerings, operations, and business models, is being increasingly favored by both small and large businesses alike.
EvoluteIQ’s Hyperautomation Enablement Platform Offers Differentiated Capabilities for Assured Outcomes-
There are difficulties and lessons to be learned when implementing new technology, organizational change, and process optimizations in production. Our goal at EvoluteIQ, is to work with enterprises as key stakeholders while they undergo digital transformation. Based on open-source technology, we have created a variety of proprietary frameworks and solution accelerators. The goal is to assist businesses in accelerating their automation journeys, applying pre-built domain knowledge models for optimized and highly accurate results.
To learn more about how we can be your lone devoted partner on your road toward enterprise process automation, get in touch with our automation experts right away.
Suggested Reading: Automation vs. Hyperautomation