Hyperautomation: the next step in digital transformation
By now, many companies are familiar with process automation and its positive effects. Digital tools take over repetitive tasks to save time and money. However, this benefit is limited to the process and at some point reaches a ceiling. Hyperautomation takes the digital transformation a step further and focuses on fully intelligent automation. By using intelligent technology, companies can achieve optimum efficiency. This requires a totally different approach. Read it here.
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What is hyperautomation
Hyperautomation is a digital transformation that enhances automation with smart technologies such as A.I and Machine Learning. In this way, automation is automated. This leads to a fully optimised business. That means an ultimate customer experience with minimum operating costs and maximum profit.
How does it work?
Smart technology identifies new opportunities for automation and automatically creates new digital solutions. This is how digitalisation is accelerated. Everything that can be automated will be automated. This does not mean that all employees involved have to make way for software. On the contrary, the interaction between humans and IT is optimised. This gives the role of the employee a new dimension.
Hyperautomation requires a different approach than process automation. In process automation, we look at which digital solution will quickly achieve the most time and money saving. In hyperautomation, digitalisation is the main objective and optimum efficiency is the result. That is why we focus first on digital integrations that enable further digitalisation the quickest. Think, for example, of Business Process Management, which digitises the HR, Sales and Account processes in order to gain insight into the right data first of all.
The implementation of hyperautomation is different for each company. Nevertheless, there are a number of components that apply.
- Robotic Process Automation (RPA)
Robotic Process Automation is software that can automate repetitive tasks. It focuses mainly on the execution of the task.
- Business Process Management (BPM)
Business Process Management stands for the digitalisation of business operations. For hyperautomation, it is important that all data and documents are available digitally and centrally, and that all departments communicate with each other via the right digital channels. This is done in Business Process Management.
- Artificial Intelligence (AI) and Machine learning (ML)
A.I. and Machine Learning are the brains of hyperautomation. Based on data, cleverly designed software programmes recognise new opportunities for optimisation.
- Advanced Analytics
Beyond the structured internal information, there is a lot of noise and context that affects business operations. Advanced Analytics finds patterns and opportunities in this unstructured data to enable further hyperautomation.
It should be clear by now that hyperautomation has many advantages. Here are the main ones:
Because it is able to grow automatically with the business, its scalability is unlimited.
The technology is not limited to a process, but is integrated into the entire company. This allows it to adapt quickly to changing circumstances.
- Working more productively
By automating repetitive tasks and optimising the supporting role of IT, the software enables employees to be more productive.
- Optimal ROI
Since digitalisation is aimed at the most efficient business operations, the ROI will increase exponentially.
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