Hyperautomation

Executive Definition: Hyperautomation — A business-driven approach to rapidly identify, vet, and automate as many processes as possible using multiple technologies like AI, machine learning, and RPA.

Hyperautomation expands upon traditional automation by combining Robotic Process Automation (RPA) with advanced AI capabilities. This allows organizations to automate complex, end-to-end workflows that involve unstructured data, decision-making, and exception handling.

Frequently Asked Questions

How is hyperautomation different from regular automation?

Traditional automation relies on predefined rules and structured data. Hyperautomation integrates AI to handle unstructured inputs, make cognitive decisions, and orchestrate complex processes across multiple systems.

What processes are best suited for hyperautomation?

Processes with high transaction volumes, multiple system touchpoints, and a mix of structured and unstructured data. Examples include invoice processing, customer onboarding, and claims management.

What is the ROI of hyperautomation?

ROI stems from cost reduction, faster processing times, and improved accuracy. While initial setup costs can be significant, successful hyperautomation initiatives typically yield substantial long-term efficiency gains.