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Hyperautomation Strategy: What It Is and How It Differs From RPA (2026)

Hyperautomation strategy explained: how AI, machine learning, RPA, analytics and process mining combine, how it differs from RPA, and what Gartner reports on adoption.

AI Automation Architect

Published
Nov 17, 2025
Updated
Oct 1, 2026
Reading time
2 min read

Your business is growing, and so is the workload. Traditional answer: hire more people. Hyperautomation answer: automate everything that can sensibly be automated, using AI, RPA, analytics and process mining together, so headcount does not have to grow in step with the work.

Large companies take it seriously. In a September 2024 release, Gartner said hyperautomation continues to be a staple discipline for 90% of large enterprises, and that less than 20% of organizations have mastered the measurement of their hyperautomation initiatives.

But here's what most businesses miss: Hyperautomation ≠ RPA. RPA is a single technology automating simple tasks. Hyperautomation is a strategic combination of AI, machine learning, analytics, RPA, and process mining that automates complex, end-to-end business processes requiring judgment and decision-making.

To choose which processes to automate first and see what the tools cost, read our guide to business automation tools.

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