AI-generated summary
In the era of the Fourth Industrial Revolution, “adding value” has become a central goal for companies, workers, and managers alike. One key technological trend driving this is hyperautomation, which integrates artificial intelligence (AI), machine learning, and robotic process automation (RPA) to enhance business processes. Unlike traditional automation, hyperautomation enables businesses to rapidly identify, test, and automate numerous tasks, making operations more flexible and responsive to unforeseen events. This approach not only frees employees from repetitive or hazardous tasks but also supports more strategic, data-driven decision-making at higher organizational levels.
Hyperautomation employs advanced technologies such as intelligent automation, data mining, natural language processing, and optical character recognition to analyze vast amounts of information quickly. For example, it can autonomously read invoices, reports, or legislation to detect business opportunities, engage with customers across platforms, and even create other robots to assist users in specific tasks. Despite fears that automation might replace humans, the human role remains crucial, particularly in areas requiring critical thinking and nuanced judgment, such as personnel management. Ultimately, hyperautomation aims to empower human workers by handling routine processes, thereby allowing them to focus on delivering real value and making informed decisions that drive business success.
The new applications of artificial intelligence in business are ready to add value to our work.
In the Fourth Industrial Revolution, “adding value” is one of the most repeated expressions. More and more companies, workers or managers are dedicated to this task, which consists of raising the level of their tasks. So do the applications of artificial intelligence in business: hyperautomation, one of the major industrial trends of the coming years, seeks to increase technology as well as its contribution to the business.
According to forecasts by the consulting firm Gartner, the hyperautomation market will exceed 520,000 million euros in 2022. This cross-cutting trend will transform the way companies of all sizes and sectors work, which will be able to make the most appropriate strategic decisions based on robots.
What is hyperautomation?
Hyperautomation has a lot to do with intelligent automation. This concept adds to the process automation provided by RPA (robotic process automation) other tools characteristic of Industry 4.0, such as artificial intelligence or machine learning.
In this way, intelligent process automation is much more flexible than classic automation, as it even allows robots to react to unforeseen events.
Hyperautomation, on the other hand, is an approach that allows companies to quickly identify, test, and automate as many business and technology processes as possible.
As a result, hyperautomation makes it easier for businesses to decide what gets automated and what doesn’t. That is, it not only frees workers from spending their day tightening screws or performing dangerous tasks, it also streamlines decision-making at a higher level.
New applications of artificial intelligence in business
Applying hyperautomation in a company avoids having to identify and prioritize by hand all the processes that are part of it to see which ones are delegated to robots. In fact, the technology it employs is even capable of understanding the tasks your employees perform every day to suggest which ones should be automated.
To achieve its goals, hyperautomation uses advances such as intelligent automation, data mining, natural language processing (NLP) or optical character recognition (OCR).
This means, for example, robots capable of reading hundreds of pages of invoices, reports or legislation to obtain intelligence and identify business opportunities in an instant. They can also engage in conversations, listen or collect information about a customer from the information they leave on different platforms, such as social networks or the company’s own support service.
Hyperautomation goes even a little further in the applications of artificial intelligence in business. In fact, its use allows other robots to be created autonomously that automate certain tasks, such as helping a user find the information they need or complete a purchase process.
Humans who count (and a lot)
Does all this mean the advent of an era in which robots will slowly eat up our ground and end up firing us all? Not at all: human skills such as critical thinking or data interpretation will continue to be essential for sound decision-making.
A clear example in this regard is the automation of people management in a company. Without humans behind them, there is a risk of trusting personnel decisions exclusively to productivity or the biases of artificial intelligence, without taking into account other factors. As a result, employee well-being would suffer and the company would struggle to retain and attract talent.
In reality, hyperautomation is about paving the way for humans to dedicate themselves to —remember— bringing real value to the business. From the contributions of our robot colleagues, we are left to take advantage of the intelligence gathered and the time freed up from cumbersome tasks to make higher-level decisions.
At the Bankinter Innovation Foundation’s Future Trends Forum , different experts addressed the future of work, with technology enabling new ways of working as one of its major trends, as well as the impact that artificial intelligence will have on our lives, in case you want more information.
