Decision Making and Hyperautomation

Published: May 31, 2022

Emerging business needs in the current times have necessitated a shift towards process automation as a strategic part of their move towards digital transformation. Process automation has evolved over the past years to give simplistic solutions with low code/no-code development models, enabling citizen developers to rapidly automate processes. The intended use of these models is to democratize the App development process and make it easy for functional users without any technical knowledge.

Businesses often seek answers and solutions on how their Automated processes will adapt to process changes and how can they enhance the decision-making capabilities of their existing Bots?

The question stems from the fact that business needs are dynamic and fast-paced. There can be an inclusion of new process sequences or modifying existing capabilities of the automated Bots. The answer and the solution lie in adopting Hyperautomation-which works on a self-learning model by constantly analyzing existing processes and improving the scope of the automation.

Hyperautomation-The new norm for Process Automation

The past years have seen increased usage of Hyperautomation, with integrated Artificial Intelligence and Machine Learning capabilities. It enables end-to-end automation of business processes with intelligent Bots that analyze input data in real-time, identify trends and patterns to take intuitive actions, and constantly enrich their decision-making capabilities.

Hyperautomation helps develop Bots that have self-learning capabilities for decision-making to adapt to the dynamic changes in the operational processes. In this article, we will look at the benefits of Hyperautomation, and the SAP Intelligent RPA suite.

A study by Gartner1 projects the global Hyperautomation market to reach around $600 Billion by 2022. This shows a sharp increase in its adoption across varying business verticals, making it a requirement rather than an option.

The Hyperautomation Model-An Example

A typical model of Hyperautomation for an automated support system for data retrieval will consist of a conversational Bot that uses Natural Language Processing capabilities to understand the user requirement. The workflow is then passed to the execution bot, which processes the request, and optimizes the process flow based on individual scenarios and exceptions to automatically adapt to the changes. This reduces the time for execution of the process in future stages and brings efficient results that save time and resources through intelligent decision making.

Benefits of Hyperautomation

Lowered Costs: Intelligent automation does away with using human resources to execute operational processes and gives a lower TCO over a period. Businesses can benefit from moving their employees from manual and repetitive tasks to other high-priority requirements.

Reduced errors: Automated processes reduce errors in collecting, analyzing, and processing data when compared to manual operations.

Democratizing Development: Hyperautomation enables users with no technical skills to build intelligent Apps using low code/no-code development models. A drag-and-drop feature enables easy process automation with easy data connectivity and extensibility. Businesses stand to gain from a reduction in development costs, have end-users build the automated process with accuracy, and increase productivity with optimized process execution.

Agile Decision Making: Intelligent Bots analyze data and discover hidden patterns and trends that are beyond the scope of conventional automation processes. These insights drive agility into decision making, with Bots automatically adapting to the change.

Extending the scope: The scope of automation is extended to the entire process landscape, ranging from core processes to individual department workflows with speed and agility.

Lowered IT Support: Hyperautomation makes App development simplified, enabling novice users to build their own Apps for increasing productivity and efficiency. This also reduces the dependency on IT for developing process automation solutions and makes users self-sufficient.

SAP Intelligent RPA for Hyperautomation

SAP Intelligent RPA is a comprehensive suite for building intelligent Bots by extending the features of conventional RPA. It can be combined with SAP Business Technology platform and SAP Workflow Management to provide end-to-end Hyperautomation solutions. Outlined below are the key features of SAP intelligent RPA that help the easy creation of Hyperautomation Apps.

Integration Capabilities: SAP Intelligent RPA is designed to integrate with other SAP applications and has dedicated connectors for SAPUI5, SAP GUI environments, and Fiori Apps. This makes Bot development easier by aligning with the existing SAP landscape and is also offered as bundled offering across various SAP solutions.

AI and ML Capabilities: It also provides easy integration with Artificial Intelligence and Machine Learning models, making it a comprehensive suite for Hyperautomation. Machine Learning models help analyze unstructured data and derive intelligent insights that optimize Bot capabilities through real-time decision-making.

Cost Advantage: SAP Intelligent RPA is priced on a usage-based pricing model that reduces TCO and gives the much-needed scalability for emerging business needs. This suits customers who are looking to start developing Hyperautomation solutions by giving a cost and value-driven advantage.

Support: The suite is supported by a vast partner ecosystem and developer community, giving easy access to support and custom App development.

No Code/Low Code Development: Users can use the no code model for automating simple processes. The Low Code feature helps in developing complex Apps by using simple JavaScript. This makes it viable for novice users looking to develop Bots for their specific processes.

Bot Store: The SAP Intelligent RPA Bot store offers around 200 pre-built Bots for a wide range of business requirements such as procure to invoice for procurement, invoice to cash for finance, and many more common business requirements. This helps users quickly start the development process by using Bots designed for a specific process and configuring them for custom needs.

SAP Conversational AI Services: The suite includes Conversational AI services that provide Natural Language Processing capabilities for interactions with Chat Bots, giving an enriched customer experience.

Document Management: The SAP Intelligent RPA suite includes Optical Character Recognition (OCR) capabilities for extracting data from unstructured formats, making it easy to process invoices, PDF documents, and other document formats.

Hyperautomation solutions are seeing a steep growth for automating a wide range of operational processes with ease of usage and providing an enhanced customer experience. They are easy to adopt, flexible, scalable, and perfectly align with dynamic business requirements, with lower TCO, and faster ROI.

Businesses can benefit from Citizen Developers who can create their intelligent Bots for various requirements using the SAP Intelligent RPA platform. Hyperautomation has created a profound impact on automation, bringing in intelligent Bots that can make efficient data-driven decisions, to improve process efficiency and user experience.

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