Hyperautomation uses AI, ML and RPA to automate corporate operations like production chains, job flows and marketing. Almost any repetitive work can be automated and it’s feasible to find out which processes may be automated and construct bots to do them.
Hyperautomation also helps the digital transformation by eliminating human engagement in low value operations and providing new business knowledge from data. It can help develop flexible, fast changing organizations.
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HYPERAUTOMATION: HOW?
Gartner says RPA with AI and ML powers hyperautomation. Combine these technologies to offer power and flexibility where they were previously impossible. Thus, previously unautomatable jobs can now be mechanized, allowing humans to focus on more valuable tasks like decision making, data interpretation and critical thinking.
Hyperautomation uses RPS and AI to improve business choices.
Companies can use several hyperautomation platforms with their existing technologies. RPA is the major platform, however iBPMS, iPaaS and information engines are also used. Hyperautomation can also generate a digital twin of an organization (DTO), a virtual version of a product or work flow that simulates processes and shows where value is created in real time.
Hyperautomia key points
Hyperautomation integrates multiple technologies, including:
Robotic Process Automation
Robotic process automation helps configure software for robots to execute repetitive, structured operations in digital systems.
Learning Machine
Machine Learning employs algorithms to educate computers to accomplish complicated tasks without human programming.
AI
Artificial Intelligence aims to construct machines that can make judgments and solve issues using reasoning.
Big Data
Big Data technologies store, analyze and manage massive amounts of device data to find trends and optimize solutions.
Cobots
Collective robotics or cobots, are revolutionizing production processes by sharing jobs with humans.
Chatbots
Chatbots are AI, ML and NLP based systems that can have real time text or speech conversations with humans.
Hyperautomia benefits
Hyperautomation improves firm performance and employee well being. This includes:The incorporation of disruptive technologies like AI, ML, RPA and NLP into the companys daily operations to speed up and reduce errors.
Having a smart working environment and not having to waste time on boring chores increases employee happiness and boosts productivity and competitiveness.Organisations can digitally align business processes and technology investment.
Lowering company operating costs. Gartner estimates that hyperautomation and improved operating processes will save expenses by 30% by 2024.Big Data and AI help businesses harvest data and make better decisions.
Determine which processes can be automated and build bots.
Intelligent process automation vs hyperautomation?
Hyperautomation expands automation capabilities in an organization using modern technology. Automates already automated procedures, expanding business operations beyond individual input.
These automation technologies include RPA, AI, machine learning, process mining and others that identify time consuming business processes and automate them.
However, intelligent automation uses OCR, AI and machine learning algorithms to replicate human behavior and intellect. Businesses can automate difficult tasks that would otherwise require human input, analysis or decision making.
Instead of confusing intelligent automation with hyperautomation, regard it as a subcategory.
Intelligent automation is part of hyperautomation technologies, together with RPA, NLP, DPA, decision management frameworks and IBPMS infrastructures.
Use hyperautomation in my business
SET BUSINESS GOALS
Hyperautomation improves business processes and speeds up operations. You must discover business automation possibilities that could benefit from hyperautomation. Make the most of automation by understanding why and where you need it.
Setting hyperautomation goals and KPIs can help you determine if the system is beneficial for your business, which it will be.
Discover HyperautOMation tools.
Research automation tools that fit your needs. Hyperautomation is useless if it doesnt work for your business, therefore research and identify applicable technologies. Do you need low code or no code hyperautomation if your company lacks IT expertise?
Find out how your industry competitors are using hyperautomation.
Choose sustainable tools.
Make sure your automation platform is scalable after researching and choosing it. How can the tool optimize processes now and as your business grows? Choose sustainable, future focused tools that impact your business today and tomorrow!
Challenges
Before starting your hyperautomation path, consider these challenges:
- Does your tool include advanced analytics for success measurement?
- Investment ROI calculation
- Choose the correct hyperautomation infrastructure
- Getting stakeholder and staff buy in (robust onboarding can assist)
- Lack of business process data makes implementation tough and slow.
- May compromise client satisfaction during installation.
Hyperautomation has several benefits despite these obstacles. Hyperautomation boosts productivity, functionality and workflow efficiency.
What distinguishes hyperautomation from intelligent process automation?
Hyperautomation expands automation capabilities in an organization using modern technology. Automates already automated procedures, expanding business operations beyond individual input.
These automation technologies include RPA, AI, machine learning, process mining and others that identify time consuming business processes and automate them.
However, intelligent automation uses OCR, AI and machine learning algorithms to replicate human behavior and intellect. Businesses can automate difficult tasks that would otherwise require human input, analysis or decision making.
Instead of confusing intelligent automation with hyperautomation, regard it as a subcategory.
Intelligent automation is part of hyperautomation technologies, together with RPA, NLP, DPA, decision management frameworks and IBPMS infrastructures. Related articles here.
How can I hyperautomate my business?
1. SET BUSINESS GOALS
Hyperautomation improves business processes and speeds up operations. You must discover business automation possibilities that could benefit from hyperautomation. Make the most of automation by understanding why and where you need it.
Setting hyperautomation goals and KPIs can help you determine if the system is beneficial for your business, which it will be.
2. Discover HyperautOMation tools.
Research automation tools that fit your needs. Hyperautomation is useless if it doesnt work for your business, therefore research and identify applicable technologies. Do you need low code or no code hyperautomation if your company lacks IT expertise?
Find out how your industry competitors are using hyperautomation.
3. Choose sustainable tools.
Make sure your automation platform is scalable after researching and choosing it. How can the tool optimize processes now and as your business grows? Choose sustainable, future focused tools that impact your business today and tomorrow!
Getting started with hyperautomation
Organizations can navigate hyperautomation with several steps and components. Following are the steps:
- Learn about procedures, workflows and environment. Process mining can reveal gaps, delay and bottlenecks in existing processes and uncover digital process automation potential. Some firms construct a digital twin or duplicate model, to see existing processes. A digital twin duplicates an ecosystem to visualize processes, inputs and outcomes, discover improvements and increase efficiency.
- Determine the organized and unstructured data and additional inputs needed for the procedures.
- Predict efficiency and ROI.
- Determine your ideal automation platform and technology, maybe using existing tools and algorithms. RPA, OCR, AI and machine learning may be used with other strategic technology tools to develop bots for automated jobs.
- Automate complex business and technological processes and tasks, even the automated, to increase efficiency and reduce costs.
- Use AI capabilities like cognitive learning, OCR and NLP to complete tasks. Low code or no code technologies, which use a graphical user interface for configuration, ease automation and speed implementation.
