Are you ready for the future of work? With hyperautomation, it’s not just possible – it’s inevitable.
What is Hyperautomation?
Hyperautomation is the latest advance in process automation technologies. It involves using multiple software tools to automate tasks that previously humans manually do. The goal of hyperautomation is to increase efficiency and accuracy by automating as many processes as possible.
Hyperautomation is made possible by a combination of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA). These technologies are used to automate tasks that were previously done manually by humans. RPA is used to automate repetitive, rules-based tasks, AI is used to automate decision-making processes, and ML is used to automate learning and adaptation.
Hyperautomation can be used in any industry where there are processes that can be automated. Some examples include healthcare, manufacturing, logistics, and customer service.
Benefits of Hyperautomation
Hyperautomation is the use of advanced technology, such as artificial intelligence (AI) and machine learning (ML), to automate tasks that were previously performed by human beings. This can include everything from simple, routine tasks to more complex, decision-based tasks.
Hyperautomation has a number of benefits, including:
-Increased efficiency: Automating tasks can help eliminate errors and improve efficiency.
-Improved quality: Automated tasks are often more accurate than human-performed tasks.
-Reduced costs: Automating tasks can help reduce labor costs.
-Faster processes: Automating tasks can help speed up processes.
Drawbacks of Hyperautomation
Hyperautomation can lead to a loss of institutional knowledge as employees. Those who are replaced by automated processes may take valuable information about the company’s history, culture, and processes with them when they leave. In addition, hyperautomation can result in increased dependency on a small number of people who understand how automation works and can manage it properly. This can create a single point of failure that could bring down the entire system if not managed properly.
How to Implement Hyperautomation?
There’s no single silver bullet for implementing hyperautomation, but there are best practices that companies can follow f. Here are four key tips:
1. Define the business problem you’re trying to solve
2. Assess which processes can be automated
3. Develop a governance framework
4. Implement hyperautomation incrementally
Tools for Hyperautomation
There are a number of different tools available to help organizations implement hyperautomation. These tools can be divided into two broad categories:
1. Tools for automating business processes
2. Tools for automating IT processes
We use Business process automation tools to automate repetitive tasks such as data entry, document management, and workflow management. Common examples include robotic process automation (RPA) software, business process management (BPM) software, and digital process automation (DPA) software.
IT process automation tools, on the other hand, we use to automate tasks such as server provisioning, configuration management, monitoring, and event management. Common examples include configuration management tools such as Puppet and Chef, monitoring tools such as Nagios and Zabbix, and event management tools such as Splunk and BMC TrueSight Orchestration.
Case Studies of Hyperautomation
1. Shell
In 2017, global energy company Shell announced a major project to implement hyperautomation across its operations. The company plans to use robotic process automation (RPA), artificial intelligence (AI), and machine learning to streamline its operations and reduce costs. So far, the project has been very successful, with Shell reporting significant efficiency gains and cost savings.
2. HSBC
British bank HSBC is another major adopter of hyperautomation. The bank has implemented RPA and AI across a number of its operations, including customer service, fraud detection, and compliance. This has allowed HSBC to reduce costs and improve customer satisfaction.
3. GE
People are using Hyperautomation in the manufacturing sector. US conglomerate GE has been using RPA and AI to automate its production processes for several years. This has helped GE to improve quality control, speed up production and reduce costs.
4. Nokia
Finnish telecommunications giant Nokia is another hyperautomation success story. The company has used RPA and AI to streamline a number of operations, including customer service, network maintenance, and product development. This has allowed Nokia to speed up delivery times, reduce costs and increase customer satisfaction.
Future of Hyperautomation
Hyperautomation is the combination of multiple machine learning, robotic process automation (RPA), and artificial intelligence (AI) tools to deliver work. You can also use Hyperautomation to automate specific tasks or workflows, or as part of a larger initiative to automate an entire business process.
The goal of hyperautomation is to eliminate the need for human intervention in arduous, repetitive, or dangerous tasks. By automating these tasks, businesses can improve efficiency, accuracy, and compliance while freeing up employees to focus on higher-value activities.
Hyperautomation is still in its early stages of adoption, but it is already having a major impact on businesses across industries. In the coming years, hyperautomation will become increasingly commonplace as businesses strive to remain competitive in the age of digital transformation.
FAQs about Hyperautomation
What is hyperautomation?
Hyperautomation is the combination of multiple automation technologies to enable end-to-end automation of processes. Hyperautomation often includes the use of artificial intelligence (AI) and machine learning (ML) to automate tasks that humans typically perform.
What are the benefits of hyperautomation?
Hyperautomation can improve process efficiency, quality, and consistency while reducing costs. Hyperautomation can also help organizations to be more agile and responsive to change.
What are some examples of hyperautomation?
Some examples of hyperautomation include:
-Robotic process automation (RPA), which automates repetitive tasks that humans typically perform
-AI/ML, which automates tasks that require human cognitive abilities
-Case management, which automates the end-to-end processing of a case or request
-Document management, which automates the creation, handling, and storage of documents
-Workflow management, which automates the sequence of steps in a process
