Intermediate · Systems
Hyperautomation
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Combining AI, RPA, and process mining to automate entire end-to-end business processes.
Technical Definition
Combining AI, RPA, and process mining to automate entire end-to-end business processes.
How it works
Hyperautomation extends traditional process automation by orchestrating AI, robotic process automation (RPA), process mining, and workflow engines together. The goal is to make complete end-to-end processes — such as order-to-cash or hire-to-retire — executable with minimal human intervention. In 2026 it increasingly relies on AI agents that can handle exceptions, call tools, and adapt to variability that scripted RPA alone could not manage.
Related Concepts
- Agentic AI — AI systems designed to independently plan, execute, and adapt actions to achieve a given goal, often involving multiple steps and external tools.
- AI Workflow Automation — The use of AI technologies to automate and optimize sequences of tasks or processes, reducing human intervention and error.
- Work-as-a-Service — A business model where customers pay for delivered outcomes instead of software seats or subscriptions.