HYPERAUTOMATION FOR END-TO-END BUSINESS PROCESSES

What is Hyperautomation?

Hyperautomation is used to describe next-level automation initiatives, which means the act of automating end-to-end business processes that go beyond standard rule-based tasks. This is achieved by combining robotic process automation technology with Machine Learning and Artificial Intelligence. Specifically, UiPath hyperautomation capabilities, as well as Automation Anywhere hyperautomation capabilities, are impacting RPA business users who which to achieve seamless automation within their exiting processes.

Benefits of Hyperautomation

  • Identify Automation Opportunities: RPA bots can be used to find other automation candidates within business processes.

  • Strengthen CoE: Your Center of Excellence (CoE) can be strengthened by empowering your organization through AI-driven automation practices.

  • End-to-End Automation: Complex business processes can now be RPA candidates, rather than just repetitive/rule-based tasking.

  • Better ROI Gauge: Hyperautomation harnesses the capabilities of advanced analytics to measure and demonstrate the overall impact of automation in your processes.

  • Increase Attended Bots: With hyperautomation influencing more complex processes, knowledge workers can be more encouraged to automate in unison.

Where to Start

  • Define Business Outcomes: Digital ambitions must be defined up front when implementing hyperauomation. Architects and business process champions must collaborate on the vision of the business, the ROI desired, and the ongoing impact robotic process automation will leave on their organization.

  • Pairing the Right Tools: Define the operational tools that best align with your automation roadmap. Gauge different technology markets and tools, such as UiPath hyperautomation, to design a progressive investment plan.

  • Create a “Digital Operations Toolbox”: A business model supported by hyperautomation needs a digital operations toolbox that correlates with the desires of the implementation. Use cases need to be thoroughly inspected to ensure the optimal combination of these tools is chosen.

  • Ensure the Process is Optimized: Just like RPA can’t make an unstructured process better through an implementation alone, end-to-end automation cannot serve its full purpose unless the process in place is staged accordingly. Ensure the automated process is already structured for high-performance.

Assembling a Digital Operations Toolbox for Hyperautomation

What is Hyperautomation? Automating End-to-End Processes

AI-Enabled Hyperautomation for Document Processing

The UiPath RPA platform is built for scaled hyperautomation capabilities. Pertaining to UiPath hyperautomation specifically, they’re model exemplifies that “fast” is never good enough when there is so much automation potential that exists within business processes.

Through harnessing AI-driven capabilities, automated process discovery tools and advanced analytics, UiPath is set apart as a leading provider of scaled automation capabilities. Here is their hyperautomation roadmap:

Hyperautomation

DISCOVER

BUILD

MANAGE

RUN

ENGAGE

MEASURE

The UiPath RPA platform is built for scaled hyperautomation capabilities. Pertaining to UiPath hyperautomation specifically, they’re model exemplifies that “fast” is never good enough when there is so much automation potential that exists within business processes.

Through harnessing AI-driven capabilities, automated process discovery tools and advanced analytics, UiPath is set apart as a leading provider of scaled automation capabilities. Here is their hyperautomation roadmap:

Hyperautomation

DISCOVER

BUILD

MANAGE

RUN

ENGAGE

MEASURE

Automation Anywhere has developed various tools within their RPA platform to support hyperautomation through scaled implementations. They pride themselves on continuously improving their RPA offerings through AI and Machine Learning rich capabilities, which serves as the hyperautomation core. Here are the tools within their platform that specifically offer the power and flexibility to achieve automation at scale:

Hyperautomation for Document Processing
  • Discover Bot: The Discovery Bot uses AI to reveal, process, and automatically create bots within existing platforms, which speeds the automation pace by 5x. This feature enables ease of collaboration among business stakeholders, empowering their automation journey.

  • IQ Bot: IQ Bot delivers intelligent document processing with cognitive technologies like computer vision, OCR capabilities, Machine Learning and fuzzy logic. These features help IQ Bot capture, extract, and classify unstructured data within RPA platforms.

  • Bot Insight: Bot Insight is built on embedded self-measuring and monitoring with each new bot developed, which is crucial for end-to-end automation. This returned compete information on not only what purpose the bot serves, but everything it has encountered in its digital lifespan.

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