Hyperautomation Enterprise Use Cases

FountainBlue's October 11 VIP roundtable was on the topic of 'Hyperautomation Enterprise Use Cases'. 

Gartner defined hyperautomation as a 'business-driven, disciplined approach that organizations use to rapidly identify, vet and automate as many business and IT processes as possible.' 

We gathered executives with experience in technologies ranging from artificial intelligence (AI) and machine learning (ML) to event-driven software architecture and robotic process automation (RPA). 

They also have some direct or indirect experience with business process management (BPM) and intelligent business process management suites (iBPMS), as well integration platform as a service (iPaaS), low-code/no-code tools, packaged software, and other types of decision, process and task automation tools, whether it's custom-designed and developed in-house or an adopted implementation.

Below is a summary of thoughts on hyperautomation enterprise use cases:

• The integration of AI and Machine Learning allows for:

  • More intelligent and adaptive automation processes

  • Enhanced decision-making through AI-powered data analysis

  • Automation of more complex tasks and workflows  

• Leveraging Industry-Specific Applications also makes sense:

  • Manufacturing: Enhancing production efficiency and enabling smart factories

  • Healthcare: Automating sensitive data processing and improving patient care insights

  • Financial services: Improving compliance processes and customer service

• The shift toward Cloud-Based Solutions hyperautomation platforms can lead to:

  • Greater scalability and flexibility

  • Easier integration with other cloud services

  • Reduced infrastructure costs

  • Improved deployment and scalability.

• Process Mining and Analytics can allow enterprises to:

  • Identify optimal processes for automation

  • Gain deeper insights into business operations

  • Continuously optimize automated workflows

• Integrating Low-Code/No-Code Platforms can lead to:

  • Faster development and deployment of automated processes

  • Empowerment of business users to create automations

  • Reduced reliance on specialized technical skills

It's early days for enterprise hyperautomation use cases, but also exciting times. 

• A prerequisite for mass adoption and integration is to truly manage and integrate the volumes of data, focusing on the most relevant data, and creating dashboards with actionable insights in real time.

• The risk is too high to fully automate solutions, especially for regulation-intensive industries like healthcare and finance and manufacturing. 

  • Keeping humans in the loop is necessary to help oversee hyperautomation integrations so they are compliant, secure, safe, and aligned to corporate and customer expectations and goals.

• Individual technologies are progressing quickly, but integrations BETWEEN fast-evolving solutions will be more complicated and will take more time.

• Most enterprises can't afford large investments in hyperautomation solutions, unless it focuses on delivering short term value as well as exceptional value for the long term.

Our executives consistently remarked on both the progress to date as well as the work yet to be done. The challenge *and* the opportunity lies in the ability to efficiently and cost-effectively deliver high-value, high-quality solutions at scale.

• How can we address the rising need for 'low-volume, high-mix' solutions when it's resource-intensive to do so?

• How can we optimize complex integrations of a wide range of technologies?

• How can we leverage hyperautomation tools, processes and technologies to solve specific customer problems?

• How can we leverage hyperautomation to facilitate innovation?

Our executives agreed that hyperautomation enterprise use cases will continue to evolve, so below are some suggested thoughts for adopting and integrating these solutions for enterprises:

• Adopt hyperautomation solutions which will do the necessary dirty, dull, or dangerous work necessary for your enterprise.

• Leverage hyperautomation solutions to keep your technologies, operations, systems and processes secure and compliant.

• Provide tools, systems, and processes which provide dashboards of actionable insights to help oversee complex operations.

• Create hyperautomation tools and technologies which support the adopted quality and operational standards adopted by your team and organization.

• Consider closely the role of humans to oversee the company's adopted hyperautomation solutions.

• Design hyperautomation solutions which would help quickly identify problems and/or make data-based decisions so that the enterprise is more safe and efficient.

The bottom line is that hyperautomation use cases for enterprises must consistently provide value and create impact while remaining secure and compliant.