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Hyperautomation

Go beyond digitization. Embrace change, transform operations, and increase efficiency with hyperautomation.
What is hyperautomation?

What is hyperautomation?

Using a range of automation technologies to automate repetitive manual tasks and business processes, hyperautomation makes everything from back-office workstreams to customer-facing communications more efficient and accurate.

How are automation and hyperautomation different?

Automation

Digital transformation starts with automating one single process or a step in a process at a time to streamline a workflow. This is only the beginning of the journey to creating a truly autonomous enterprise.

Hyperautomation

Hyperautomation works at scale, across an organization. Technologies like business process management (BPM), natural language processing (NLP), case management, process and task mining, artificial intelligence (AI), and robotic process automation (RPA) – work in tandem to power holistic digital transformation.

Why is hyperautomation important?

Optimizing processes across your organization allows for better business outcomes and employee productivity. Intelligent automation – when implemented with an accessible low-code development platform – gives businesses all the tools needed to work better, smarter, and faster.

Benefits of hyperautomation

Why is hyperautomation important?

RPA software that scales beyond tasks

See how Pega can help you scale with RPA and set you on a continuous transformation journey.

How does hyperautomation work?

A comprehensive hyperautomation strategy spans four phases: Integration (connecting systems); Discovery (finding and prioritizing automation opportunities); Orchestration (implementing processes); and Governance (ensuring compliance and scalability).

How does hyperautomation work?

NTT East streamlines order management with Pega

Learn how NTT East automated back-end systems using Pega Robotic Process Automation.

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Frequently Asked Questions about hyperautomation

Hyperautomation can be used to automate a wide range of business processes, including repetitive and time-consuming tasks such as data entry, document processing, and customer service inquiries. It can also be used to automate more complex processes such as supply chain management, financial reporting, and compliance monitoring.

While hyperautomation offers many benefits, there are also several challenges that organizations may face in its implementation, including: 

Despite these challenges, many organizations are finding that the benefits of hyperautomation outweigh the costs, and are investing in this technology to improve business processes and stay ahead of the competition.

To get started with hyperautomation, organizations should first identify the business processes that are most suitable for automation. This can be done by conducting a process audit to identify areas where automation can improve efficiency and reduce costs. 

Once the processes have been identified, organizations should evaluate the available technologies and select the ones best suited to their needs. This may involve selecting a low-code platform, robotic process automation tools, or other automation technologies. 

Organizations should also consider the skills and resources required to implement and maintain hyperautomation systems and ensure that they have the necessary personnel in place.

Organizations should also develop a roadmap for implementing hyperautomation, starting with small-scale projects and gradually scaling up as they gain experience and expertise.

Organizations can ensure data security and privacy with hyperautomation by:

  • Implementing a range of security measures including encryption, access controls, and data masking to protect sensitive data.
  • Ensuring that their hyperautomation systems comply with relevant data protection regulations, such as GDPR or CCPA.
  • Conducting regular security audits and vulnerability assessments to identify and address potential security risks.
  • Ensuring that employees are trained in data security best practices and that they understand the importance of protecting sensitive data.
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