Staying up-to-date with the latest hyperautomation trends is crucial for organizations to remain competitive and efficient. Adopting new technologies and methods can streamline operations, improve customer satisfaction, and increase profitability. Failing to follow these trends can result in outdated processes and a decline in overall performance.
Some of the hyperautomation trends include leveraging AI and ML technologies, more intelligent automation, wider adoption of robotic process automation, process mining, process simulation, leveraging low code platforms, more out of the box integrations, and provide the ultimate customer experience.
Hyperautomation involves combining multiple automation tools with advanced technologies to allow the automation of complex business processes. Complex business workflows can be difficult to automate and maintain, but with the help of this approach, it should be easier to fully rely on digital technologies from start to finish.
According to globenewswire, the current value of the global hyper-automation market is USD 549.3 million, and by 2029, it is projected to rise at a strong CAGR of 22.79% to reach USD 2,133.9 million. The high adoption of digitalization and digitization and the need for more efficient work processes are some of the key reasons why this industry is showing high demand.
What are the key hyperautomation trends?
It is important for organizations to continuously strive for improvement and stay informed on the latest hyperautomation trends in order to stay ahead in today’s fast-paced business landscape and get the most out of the benefits that automating processes has to offer.
Here are the top hyperautomation trends in 2023:
1- Artificial Intelligence (AI) and Machine Learning (ML)
When business process automation tools begin to widely offer AI and ML capabilities, they will become extremely powerful, allowing the execution of business processes to be smarter and capable of making informed decisions based on previous instances.
In addition, business process management tools are able to execute processes with greater accuracy and less error proneness, thereby improving outcome quality, analyze large amounts of data, and improve the customer experience with the help of these technologies.
Customer support software and services is one current example of AI’s role in automating business processes. AI can be used to create chatbots that handle simple customer inquiries and complaints, allowing human customer service representatives to handle more complex issues.
Intelligent process automation is the future of workflow automation that organizations need to spend lots of efforts in order to stay agile and competitive.
2- Robotic Process Automation (RPA)
RPA is one of the best technologies that has ever existed because it allows organizations to easily automate repetitive tasks without large initial investments or technical knowledge.
Furthermore, the ability to easily begin any RPA project and scale up and down depending on the load is what makes this technology appealing to many businesses.
One of the most critical hyperautomation trends is that solution vendors are increasingly giving the capabilities to integrate their solution with the best RPA tools available in the market.
3- More intelligent automation
Intelligent automation is the practice of automating business processes that require decision making via the use of advanced technologies such as artificial intelligence, machine learning, and RPA to increase operational efficiency.
Intelligent automation combines cognitive and artificial intelligence technologies, including natural language processing, machine learning, intelligent document processing, and OCR with automation to build smart processes and workflows that learn and adapt as they go.
4- Process mining
Trends in hyperautomation involve more than just technology. It entails utilizing various techniques to boost an automated process’s success without compromising quality or efficiency and process mining is one of the core hyperautomation technologies.
Process mining entails a thorough examination of business processes, their relationships, and the data that ought to be accessible for every process. It is a method for locating bottlenecks and determining what needs to be done to enhance a particular process. Additionally, it can be used strategically to predict future trends in a business process.
5- Process simulation
In order to deliver products or services more quickly, offer customers with better service, and increase agility, organizations should constantly be looking for ways to make their business processes more efficient. Process simulation is one of the newest trends in hyperautomation and is used to find bottlenecks that slow down or affect process execution.
The majority of the time, businesses only interested to automate a process as it is, which is completely incorrect. Automation will provide these businesses with more modern methods of conducting business, which should greatly increase the process’ efficiency.
6- Cloud-Based solutions
Everyone is now talking the cloud, whether it be for data migration or using cloud-based solutions to carry out processes through an intuitive portal. The future belongs to cloud-based technologies, and hyperautomation solution providers are no exception.
Make sure the solution you choose for your business offers a cloud environment where processes can be carried out completely transparently, securely, and under your full control. They should also offer a comprehensive administration module so users can keep track of every case, task, and instance where a particular process is halted.
7- Integration with other technologies
The majority of the time, processes must integrate with either legacy or modern systems, read or write data from a centralized location, upload documents to a document repository, etc. A crucial component of any automation success is having ready-to-use integration connectors.
Solution providers are constantly working to expand their list of connectors so that it integrates with other technologies used in any organization very quickly.
8- Low-Code/No-Code platforms
Low-code platforms are a type of application development platform that allows developers to create applications with less code than traditional application development platforms. They typically provide drag-and-drop interfaces and other tools that make it easier and faster to develop applications.
There are many advantages to using these platforms. They reduce the time taken for app development, improve the quality of the app, and make it easy for developers to update apps without having to go through a lengthy process.
Check out the latest low code trends to future proof your business!
9- Customer experience (CX)
One of the newest hyperautomation trends to follow is customer experience. This is because the success of the business can be significantly impacted by the customer experience.
Without providing your customers with the best digital experience possible, it is not enough to have the most powerful automated process. Younger generations are accustomed to digital technologies, and they anticipate being able to perform tasks at least as well as those performed by your rivals.