Hyperautomation
Definition
Hyperautomation describes the combined use of process analysis, workflow automation, integrations and AI agents to automate as much of an end-to-end process chain as is economically sensible — rather than automating isolated single tasks.
The concept exists because tool-by-tool automation stalls: each tool removes a few minutes while the hand-offs between them remain manual.
In practice it means one architecture, one data model and one exception queue across the whole chain, with AI used where rules alone are insufficient.
In practice
- End-to-end scope instead of isolated task tools
- One data model and one exception queue for the chain
- AI applied only where deterministic rules fall short
Related terms
- Business process automation (BPA)Business process automation is the systematic execution of a recurring business process by software, from trigger to result, including the data, rules and hand-offs involved. Unlike single-task tools it targets the whole chain: intake, decision, execution and record.
- OrchestrationOrchestration is the coordination layer that decides which agent, model or service handles which step, in what order, with which data, and what happens on failure. It is what turns individual agents into a dependable operational system.
- Custom softwareCustom software is built around a specific company's processes instead of forcing those processes into a standard product. It is chosen when the workflow is a competitive differentiator, when integration depth matters, or when licence and workaround costs exceed the build.