What Is Hyperautomation and Is It More Than Just a Gartner Buzzword

Q: "What is hyperautomation"

"Hyperautomation is the combination of AI, robotic process automation (RPA), and other technologies to automate as many business and IT processes as possible. Gartner coined it and put it on their hype cycle. The practical translation: systematically identifying every manual, repetitive process in your organization and automating it — starting with the ones that cost the most."

Hyperautomation is Gartner’s term for using multiple automation technologies — RPA, AI, machine learning, process mining, low-code platforms — in combination to automate as many business processes as possible. Gartner put it on their Top Strategic Technology Trends list in 2020 and it’s been a consulting industry favorite ever since.

Let me separate what’s real from what’s branding.

Why the Term Exists

Traditional automation tackled individual tasks. You’d automate an invoice approval workflow or a data entry process. Hyperautomation is supposed to represent the next step: instead of automating one process at a time, you systematically identify every automatable process across the entire organization and attack them with the best-fit technology — RPA for rule-based tasks, AI for judgment-based tasks, process mining to find the bottlenecks you didn’t know about.

The concept is legitimate. The name is marketing. Companies have been doing exactly this — progressively automating operations — for decades. Gartner gave it a catchy label and a hype cycle position, which made it easier for consultants to sell and executives to fund.

What It Means Practically for Your Business

Strip away the branding and hyperautomation is really about three things:

Process discovery. Before you automate anything, you need to know where the manual work actually lives. Process mining tools analyze system logs to show you how work actually flows through your organization — which is almost never how the org chart says it should. I’ve seen companies discover that 40% of their “automated” workflows still required manual intervention at some point because of exceptions no one mapped.

Layered automation. Different processes need different tools. Simple, rule-based tasks (data entry, form routing, file transfers) are RPA territory. Tasks that require judgment or pattern recognition (document classification, anomaly detection, customer intent analysis) need AI. The “hyper” in hyperautomation means using the right tool for each layer rather than trying to force everything through one platform.

Continuous optimization. Automation isn’t a project with an end date. It’s an ongoing discipline. The best implementations include feedback loops — monitoring automated processes, identifying failures and exceptions, and continuously improving. This is where most initiatives stall. Companies do the initial automation, declare victory, and move on. Then the exceptions pile up.

How to Tell If a Vendor Is Misusing the Term

They’re selling RPA and calling it hyperautomation. RPA is one component. If a vendor’s “hyperautomation platform” is just a bot that clicks buttons in your legacy systems, that’s RPA with a markup. Real hyperautomation integrates multiple technologies.

They promise enterprise-wide automation without process discovery. If someone wants to sell you automation software before understanding your actual processes, they’re selling a solution looking for a problem. The discovery phase is where the value is — identifying which processes cost the most, fail the most, or create the most friction.

They can’t explain the AI component. A lot of “hyperautomation” offerings bolt on the word AI without any actual machine learning. Ask specifically: what decisions is the AI making, what data is it trained on, and how does it handle cases it hasn’t seen before? If the answer is vague, it’s rule-based automation with AI branding.

The ROI case depends on headcount reduction. The most sustainable automation initiatives free people to do higher-value work rather than eliminating positions. If the entire business case is “we’ll fire 30% of the operations team,” the implementation will face resistance at every level and the projected savings rarely materialize.

The Verdict

The concept behind hyperautomation — systematically identifying and automating manual processes across the organization using the best-fit technology — is genuinely valuable. Every company should be doing this. But you don’t need to call it hyperautomation, you don’t need a Gartner-certified framework, and you definitely don’t need a seven-figure “hyperautomation platform” to get started. Start with the three most expensive manual processes in your business. Automate those. Measure the results. Repeat. That’s the whole strategy, regardless of what you call it.