Hyperautomation 101: What It Means For Your Digital Business

Quality Automation
by Zymr

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Hyperautomation

Gartner predicts around 40% of global organizations to roll the welcome mat for managed Hyperautomation offerings by 2024. This means that fireside chats on Hyperautomation and its practical implementation have started.

Experts at Zymr too are keen to discuss Hyperautomation and decode its logical roadmap. With our experience in multiple automation projects spanning Artificial Intelligence (AI), Robotic Process Automation (RPA), and Citizen Development using Low-Code/No-Code for clients, we believe Hyperautomation is poised to disrupt the digital landscape in the near future.

In this blog, we’ve tried putting things into perspective by explaining what is Hyperautomation all about.

What is Hyperautomation?

Hyperautomation serves as the next logical step in your automation journey. It is more business-oriented with the different technologies and processes coming together to not only implement automation but also identify its impact points throughout the business process. Technologies like Robot Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Low-Code/No Code, etc. that already have a significant role in automation, form the basis (as we’ll see in a while) for the core implementation of Hyperautomation.

Hyperautomation can manage and implement end-to-end business processes with minimal to no human intervention involved. It’s like the digital orchestration of human efforts and processes into a coherent workflow.

Pillars of Hyperautomation

The first step in this journey would be to understand a more digitally aware framework of hyperautomation. For that purpose, we can imagine its entire infrastructure supported by six pillars that comprise most of the modern-day IT innovations.

Pillar 1: Cognitive Comprehension (Data Analytics and AI/ML)
Data analytics provides the ecosystem for ingestion, storage, analysis, and visualization of data, artificial intelligence (AI) and machine learning (ML) would take care of the required pattern recognition. Thus, the massive data being generated and stored thanks to multiple business processes and outcomes can be analyzed and processed for more complex yet recognizable patterns. Technologies like Big Data, Natural Language Processing (NLP), Sentiment Analysis, etc. would help with the Cognitive Comprehension necessary for Hyperautomation.

Pillar 2: Translation (iBPMS/Business Rules)
iBPMS or Intelligent Business Process Management becomes the natural second pillar as it is here when the intuitive decisions are articulated into machine comprehensible rules. iBPMS helps with the required agility and responsiveness by providing a digital framework for workflow management, process discovery, task management, context analysis, and ultimately, business process automation.

Pillar 3: Execution (RPA)
Once the rules are translated to digital systems, RPA carries out the actual heavy lifting. It is this pillar that is essentially responsible for emulating human interactions into the digital ecosystem. RPA bots can follow more nuanced algorithms prepared using cognitive comprehension and business rules. These bots are more than capable of process automation, virtual assistance, customer experience management, and expansive data utilization (as in intelligent document processing).

Pillar 4: Citizen Development (Low Code/No-Code)
At an enterprise level, hyperautomation brings Omnichannel experience to serve practical purposes. The enterprise-grade system cannot be created with a simple code development process. Low-code/No-code resources, on the other hand, accelerate the development of such systems with their reusable components that enable drag-drop features. Citizen development allows non-technical members to design adaptable and customized automation frameworks for their businesses.

Pillar 5: Enterprise Integration
In addition to citizen development, Hyperautomation also needs the necessary resources for the intelligible orchestration of services. The digital autonomy required at a business level needs complex API management, seamless application interaction, and standardized business policies. This is where the enterprise integration ensures built-in connectors, easy service discovery, secure application exposure, and smooth governance and monitoring of the business processes. This, in turn, simplifies the entire IT ecosystem for easy management of the digital framework.

Pillar 6: Process Mining
For a sustainable hyperautomation, it is necessary that the defined business rules and integrated services are constantly mined for any existing difficulties. Process mining allows visibility and understanding of the various intelligent operations at a specific process level. It powers non-intrusive event collection and AI-led scrutiny for identifying inefficiencies and blockages as and when they occur. Moreover, in the face of altering business conditions, process mining becomes even more crucial to redefine the operations for the new environment.

With these 6 pillars in place, Hyperautomation can offer substantial benefits to the digital transformation journey and the offered business value.

Strategic Integration and Acceleration: Hyperautomation is capable of transforming businesses by streamlining processes and bringing them together into one integrated framework. This will not only eliminate manual dependency but also ensure accurate, consistent, and much-accelerated deployments and deliveries for the business. This high-speed transformation is what attracted organizations toward digital transformation efforts in the first place.

Enterprise Level Digital Twin: While the virtual representation of much smaller real-time entities can do wonders, hyperautomation can deploy a digital twin for the entire organization. This is a step towards higher transparency, better performance management, and more business-driven operations.

Dynamic Operations and Discoveries: Hyperautomation practically eliminates the need for live agents. The automation resources (as we’ll discuss in different sections) are capable of collecting omnichannel data, understanding the process exceptions, and continuously revising the operations in real-time. Therefore, it can digitalize the entire business in a more accurate sense than ever before.

Hyperautomation Use Cases:

Healthcare:
Hyperautomation can become pivotal for patient data analysis helping us in the accurate diagnosis. A few other use cases include:
– Invoicing
– Compliances and regulations
– Revenue management
– Managing patient journey right from appointment scheduling
– Internal process agility and standardization

Banking and Finance:
Hyperautomation can help banking and finance organizations to enrich their customer experience. Some key use cases include:
– Real-time data aggregation
– Smart loyalty management
– Decentralized data management
– Omnichannel marketing
– Simplified core banking workflow

Retail:
From personalized customer experience to planning the very layout of the stores, the retail industry can do wonders with hyperautomation. Key uses cases include:
– Customer retention and loyalty
– Demand forecasting and inventory management
– Highly personalized customer experience

Implementation of Hyperautomation

While the pillars of hyperautomation are pretty straightforward, its implementation would require a rather complicated groundwork, to begin with.

Hyperautomation Implementation

Conclusion

There’s no denying the fact that hyperautomation has a long way to go before it is woven together with the digital transformation journey. Business leaders are optimistic about their future, but the ground reality today is that it needs a more structured approach. The compliance management, policy development, and workflows also need a stronger basis for something as ambitious as this to be packaged as a service.

However, this doesn’t mean that we haven’t already started in the right direction when it comes to identifying the building blocks of Hyperautomation. With the right vision and an intellectual toolkit, Gartner’s 2024 prediction seems more feasible than not.

Connect with our experts to know more.Let's talk.

 

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