Hyperautomation and AI Assistants in 2022 [2023 update]

In this age of technology, businesses are constantly looking for ways to gain an edge over the competition with the use of the latest innovations. Today, transforming manual functions into automated processes has become the norm. Businesses are opting to save on costs and invest in the future through automation.

What is hyperautomation?

Hyperautomation is one of the emerging strategic technology trends in 2022. The IT research firm Gartner first coined the term in 2019. Hyperautomation refers to the use of robotic process automation (RPA) combined with machine learning (ML) and artificial intelligence (AI). The result? Even more automated automation with the goal of improving business workflow and efficiency.

Data engineers play a huge role in the development of AI. Most businesses today have their own team of engineers to further automate already existing business processes. With hyperautomation, even the processes that previously needed experts to complete can now be done using robotic process automation and artificial intelligence.

Arguably the biggest advantage of using hyperautomation is that it not only speeds up work – it makes it more efficient.

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AI Assistants in Hyperautomation

AI assistants are commonly seen in business processes and workflows. These assistants display a high level of versatility as they can interact with customers and employees alike. Common examples of AI assistants include website chatbots and virtual executive assistants such as Siri for iOS devices and Cortana for Windows. These AI assistants are a result of automation with the use of ML and AI.

AI assistants already help improve business processes. These assistants can engage all stakeholders in the business and create a dynamic workflow. But what happens when AI assistants undergo hyperautomation?

Hyperautomation transforms and improves AI assistants. It can create a more powerful version of the AI assistant with the combination of RPA and machine learning. The AI assistants become a better version of themselves – more engaging, more efficient, and more knowledgeable. Through hyperautomation, specific data that used to be processed manually can be automated – even complex data that could only be processed by experts. In essence, hyperautomation upskills the AI assistant. Just like how employees are trained and upskilled by their companies, AI assistants can absorb and learn new skills and knowledge with the use of hyperautomation.

The result is a team of AI assistants that serve as a digital workforce. These assistants can seamlessly connect various business processes, analyze more complex data, make decisions, and efficiently perform repetitive tasks.

Currently, applications of hyperautomation in AI assistants are found in several industries. There is AI in the beauty industry, retail and trading, healthcare, banking and finance, and in several other industries. The AI assistants in these industries work on creating a customized profile for each client so they can offer the best products and services of the business.

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Building a Future with Hyperautomation

As more businesses are joining the trend of hyperautomation, what does this mean for the future?

The goal of hyperautomation is to replace current business processes done by employees. Instead of wasting the precious time of an employee doing processes such as onboarding new hires or consulting for specific fields, the use of hyperautomation can transform these processes into automated programs. Hyperautomation also aids in data privacy and security, as well as in preventing data loss.

Thus, more employees can focus on their specific roles within the business instead of spending time doing tasks that can be done by an AI assistant. Counterproductivity and inefficiency can easily be eliminated with the use of hyperautomation.

The future of the business sector becomes brighter with hyperautomation. Big businesses are now competing to develop their own hyperautomation systems that will replace already outdated workplace practices. From the previous learnings from AI and automation, hyperautomation takes things a step further by interlinking all these automated processes. This will lead to a highly efficient business that will remain competitive in the years to come.

Businesses that use hyperautomation have a bigger chance to remain resilient amidst all the innovations of the digital world. The industry pressure to be faster, more efficient, and more flexible amidst the changing conditions will push businesses to invest in hyperautomation to remain competitive in their field.

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The Bottom Line

Hyperautomation is one of the most strategic tech trends that businesses can apply today. For hyperautomation to be successful, businesses must identify areas and processes within their operations that need to be automated. The main goal of hyperautomation is to raise the efficiency of business processes. With the use of robotic process automation, machine learning, and artificial intelligence, businesses will be able to leverage hyperautomation and remain competitive in their industry.

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