What is Hyperautomation?

Hyperautomation combines Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA) and other technologies to increase the automation of business processes. Hyperautomation is a catalyst for accelerated digital transformation. It eliminates human involvement from as many processes as possible, delivering efficient results at a greatly reduced cost.

Key Components of Hyperautomation

Hyperautomation is a framework for end-to-end business automation. It isn’t a single technology. Instead, it’s the integration of several technologies including:

Robotic Process Automation

•   RPA uses software robots to automate high-volume, time-consuming tasks that humans would normally complete.
•   Software robots, or “bots,” follow a script and defined rules to complete tasks.
•   These tasks include data processing, moving files and folders, creating reports and filling out forms.

Artificial Intelligence

•   AI is the simulation of human intelligence by machines.
•   AI systems work by ingesting data, analyzing it for correlations and patterns and using those patterns to make predictions about future states.
•   AI enables computer-enhanced learning, reasoning and perception and is used across a range of industries.

Machine Learning

•   ML is a type of AI that enables your systems to learn and improve using historical data without being programmed to do so.
•   ML is used to identify patterns, make predictions and make logical decisions.

Data collection

•   Automated data collection is key to hyperautomation. This involves harvesting data from multiple sources without human intervention.
•   ML is utilized to identify the correct data and extract it automatically.
•   Automated data collection can include capturing data from paper documents and turning them into digital records.

Chatbots

•   A chatbot is a software program that can simulate human conversation. It is predominantly used for customer service.
•   AI chatbots utilize ML and Natural Language Processing (NLP) to create genuine, personalized exchanges with customers that can mimic human-to-human interactions.

How Does Hyperautomation Work?

Think of hyperautomation as the process of automating everything that can possibly be automated. To achieve this, hyperautomation needs to combine process automation and the technologies highlighted above under a single framework. This is commonly known as orchestration and ensures these different technologies work together cohesively, operating in sync with one another.

A hyperautomation platform makes this possible. With a hyperautomation platform, it’s easier for you to identify automation possibilities and scale efforts by creating new digital workflows quickly and easily.

How Hyperautomation Impacts Organizations

As companies undergo digital transformation and strive to become data-driven, hyperautomation plays a key role in this transition. Blending the strengths of your workforce with the efficiencies of technology, hyperautomation helps organizations across various industries. You can find hyperautomation in healthcare, finance and customer service, improving areas such as:

•   Data sharing and integration.
•   Logistics and inventory optimization.
•   Regulatory compliance, KYC and documentation.
•   Billing, financial and risk management.
•   Project and process management.

Intelligent Automation vs. Hyperautomation

Hyperautomation and intelligent automation are often used interchangeably. They are closely linked, but it’s important to note that intelligent automation is a subcategory of hyperautomation.

Intelligent automation is the combination of RPA, ML and AI to automate complex business processes. Hyperautomation is the approach needed to implement those technologies and others to automate as many business processes as possible. Therefore, intelligent automation is part of the strategy of hyperautomation.

Examples of Hyperautomation

Hyperautomation is used across many industries. It pushes your business towards a data-driven future, enabling you to improve processes on a much larger scale than before. Examples include:

•   In healthcare, hyperautomation can be used to provide a better patient experience. It can unlock intelligent billing processes that collect and consolidate patient information from various departments without the need for human intervention.
•   In banking, hyperautomation can improve the quality of data. This helps in a multitude of ways, from better adherence to regulatory compliance, to enhancing customer service and back-office operations.
•   In retail, hyperautomation can help create a more complete customer profile by automating the collection of information from disparate systems. This supports order processing, targeted marketing and in-depth analysis of customer feedback.

Benefits of Hyperautomation

The benefits of hyperautomation are vast, as it represents a people-centric, data-driven approach that’s ushering in a new era of automation. These benefits include:

•   Reducing costs. Hyperautomation enables employees to automate as many processes within their role as possible. This results in more efficient use of resources.
•   Optimizing decision-making. Data sharing across your business makes it easier to make more informed decisions. It provides a holistic view of your business performance and improves the customer experience.
•   Efficiently scaling operations. Hyperautomation makes organizations more agile. By integrating modern technologies into existing operations, you can keep up with constant change and more easily scale in response to employee and customer demands.

Challenges of Hyperautomation

Hyperautomation, as a collection of intelligent technologies, presents some challenges that must be navigated in the right way:

•   Ensuring data security. The handling of data by automation technologies can lead to data privacy violations or breaches if not handled correctly.
•   Having the right mindset. Business and IT must be aligned on the benefits of hyperautomation and how it will be delivered. Otherwise, this will lead to slow adoption and sub-par results.
•   Choosing the right solution. You need a clear and comprehensive understanding of all processes and how they will measure ROI before they can choose the right hyperautomation platform in a marketplace full of competing solutions.

Getting Familiar with Hyperautomation

Hyperautomation can unlock the increased efficiency that you need to get ahead in today’s digital-first, highly competitive landscape. As the need to do more with less is ever-growing, hyperautomation can be used to transform outdated workflows and introduce true end-to-end automation, gaining the cost and resource benefits needed to thrive in this environment.

Any organization can benefit from hyperautomation. Indeed, as businesses seek to introduce AI to their existing processes and systems, hyperautomation is the obvious strategy for maximizing the benefits of intelligent automation tools. However, there’s no one-size-fits-all approach. And hyperautomation isn’t a magic bullet.

Every business will require a different hyperautomation framework and will need the right people and processes in place for it to be successful. It is essential to have the right platform to support this — one that can introduce digital workflows quickly and easily while providing the analytics needed to measure the impact of automation efforts.

About Sutherland Prodigy

Sutherland Prodigy is a hyperautomation platform that combines analytics and business intelligence to transform disparate back-office operations into new, efficient, effective digital workflows. Prodigy helps you to simplify complex business activities through services such as process redesign, task allocation, talent deployment and digital automation.

Sutherland Prodigy features:

•   Advanced predictive analytics.
•   Intelligent operations automation.
•   Easily integrated platform.
•   Integration with Sutherland Extract and Sutherland Robility.
•   Low cost of entry.

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