What is hyperautomation (and why it is the 2026 trend)

The term "hyperautomation" was coined by the consultancy Gartner, which defines it as the combined use of multiple technologies — artificial intelligence, machine learning, event-driven architectures and RPA, among others — to automate business processes end to end. In one phrase: it is the leap from "automating a click" to "automating the whole process".

It is not a passing fad. In its strategic technology trends report for 2026, Gartner places agentic AI and intelligent automation at the center of the corporate agenda, and predicts that 40% of enterprise applications will integrate task-specific AI agents by the end of 2026, up from less than 5% in 2025.

RPA vs hyperautomation: the key difference

Traditional RPA executes fixed rules: it clicks, copies data and fills in forms. It works very well for stable, deterministic tasks, but breaks as soon as a screen changes or an exception appears. Hyperautomation adds an AI layer that reasons with context, decides the next step and adapts when the process changes.

As Gartner summarizes in its 2026 predictions, AI agents are moving from experimental tools to being embedded in workflows: they interpret unstructured data and execute decisions in real time. That is precisely the line between classic RPA and hyperautomation.

What the data says about adoption

Enterprise AI adoption is already mainstream. According to the AI Index Report 2025 from the Stanford Institute for Human-Centered AI (HAI), 78% of organizations used AI in at least one business function in 2024, up from 55% the year before. And the economic potential is huge: McKinsey estimates generative AI could add between $2.6 and $4.4 trillion annually, with customer operations, marketing and sales, software engineering and R&D as the biggest value pools.

That said, there is an important nuance. Stanford HAI itself warns of a persistent gap between technological capability and organizational maturity: many companies struggle with data quality, integration and measuring impact. That is why well-executed hyperautomation starts with the process and the business case, not the tool.

What a hyperautomation solution includes

• Intelligent RPA that works alongside your current bots.
• AI agents that orchestrate processes end to end.
• Intelligent document processing (IDP) for unstructured data.
• Native connection to your systems (CRM, ERP, EHR) and per-decision traceability.
• European compliance by default: the EU AI Act has been in force since August 2024 and its high-risk obligations apply from August 2026.

Why it delivers a high ROI

By automating the full process — not just a task — you remove the manual handoffs between systems, which is where most of the time is lost. In high-volume processes, payback usually arrives in under 6 months, with time-per-process reductions of up to 70%.

Twinny automates any business process by combining RPA + AI in a single platform, with a high ROI.

Want a figure for your case? Use the ROI calculator or ask us for a business case: we quantify the savings before developing.