Hyperautomation is a framework of advance technologies that develops a process to scale automation capabilities in an organization. Moreover, it integrates tools and technologies that will amplify the ability to automate work.
Let us take a look at its working and benefits.
Firstly, some technologies that uses hyperautomation are as follows:
- Task mining tools and process mining identifies and prioritizes automation opportunities.
- RPA, iPaas tools for integration and work load automation tools.
- Machine learning and AI tools for extending automation capabilities. It also includes NLP, optical character recognition and chat bots.
- Business logic tools which makes it easier to reuse automation including intelligent business process management and rules.
Importance of Hyperautomation
Firstly, Hyperautomation has a significant impact on companies for progress in the automation.
Secondly, its practice involves identifying what work to automate and choose appropriate automation tools. Moreover, its initiatives are coordinated through a center of excellence that helps to drive automation efforts.
The main objective is not only to optimize costs but also to capitalize data and generate by digitized processes.
How does it work?
Firstly, it centers on adding more intelligence and applies a broader systems based approach for scaling automation efforts. Secondly, creation and modification of processes is using process mining and task mining.
Process mining analyzes enterprise software logs from software like CRM and ERP systems. Task mining uses machine vision for software running on user’s desktop.
AI and ML components enable automation. For instance, OCR will allow an automation to process text or PDF documents. NLP can extract and identify which organization an invoice is from.
Moreover, the Business management tools and iPaas are also a great support for this technology.
Benefits of Hyperautomation
Let us take a look at some of the major benefits of hyper automation.
- Firstly, it enhances the alignment between IT and business.
- Secondly, it optimizes the cost of automation.
- Thirdly, it improves security and governance.
- Helps in prioritizing future automation efforts.
- Enhances the ability to measure impact of digital transformation efforts.
Some of the major challenges are given below.
- Security and governance
- Immature metrics
- Identifying a COE strategy for organization
- Manual augmentation required
There are some security and privacy issues in this technology. Moreover, enterprises should develop appropriate guard rails for vetting security vulnerabilities.
Certainly for immature metrics, tools for assessing the cost are still in the infancy.
Some organizations do good with a centralize approach while others see better outcomes with a distributed approach for large scale initiatives.
Moreover, enterprises also struggle to ensure interoperability and integration across such tools.
Lastly, manual augmentation is also a major concern to look by.
In conclusion, we have learnt in brief about hyperautomation and its working. We have also seen some of its benefits and challenges.