What is a Hyperautomation?
Hyperautomation is the coordinated use of multiple automation technologies — RPA, AI/ML, business process management, and integration tooling — to automate as much of an organization's end-to-end processes as technically possible, rather than automating isolated individual tasks.
Where a single automation tool typically handles one task in one system — a bot that fills out a form, a rule that routes an email — hyperautomation strings many such tools together across an entire process, often spanning multiple departments and systems, with orchestration logic tying the pieces into one continuous flow. It combines robotic process automation for legacy UI interactions, AI models for judgment-requiring steps like classification or summarization, and process mining to first discover where the manual bottlenecks actually are before automating them.
The term (popularized by Gartner) reflects a shift in ambition: instead of asking “which single task can we automate,” organizations ask “which entire process can run with minimal human touch, end to end.” This raises the ceiling on automation ROI but also the complexity of the automation itself — a hyperautomated process needs monitoring, exception handling, and fallback paths at a level a single-task bot never required.
In practice with Neotask
A Neotask deployment that reads an inbound invoice email, extracts line items with AI, checks them against a purchase order in the ERP, routes exceptions to an approver, and posts the approved payment — all as one continuous agent workflow — is hyperautomation in miniature: several distinct automation capabilities chained into one end-to-end process.
Related terms
- intelligent-automation
- robotic-process-automation
- workflow-automation
- process-mining
- it-automation
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