HYPERAUTOMATION FOR END-TO-END BUSINESS PROCESSES

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.

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 how 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.