MaKe | MaHui Member Cyclone Listed as "Major Player" in Everest Process Mining Report

On June 5, global research and advisory firm Everest Group released its process mining PEAK MATRIX ASSESSMENT report. Aionomic was the only Chinese vendor to make the list — notably, this marks another first for the company after becoming the first and only Chinese representative in global RPA industry reports (Gartner & Forrester) in 2021, with its hyperautomation product now breaking into a global process mining industry report for the first time on China's behalf.

In this influential industry report, Aionomic earned its placement among the "Major Contenders" thanks to its leading AI application capabilities and RPA+process mining technical strength, positioning it as a market leader in Asia.

As China's most widely deployed and fastest-growing RPA vendor, Aionomic brings substantial technical depth and application expertise to process mining. Its integrated RPA+process mining solution uses process mining technology to conduct comprehensive analysis and diagnosis of enterprise workflows, combining with process automation to boost overall automation rates and deliver improvements across execution efficiency, automation effectiveness, customer experience, and risk and compliance management. This creates a genuine closed loop of digital operations: "identify problems — find solutions — solve problems."

01

Aionomic's Edge: Seamless Integration of RPA and Process Mining

As an AI application company with RPA in its DNA, Aionomic's core advantage in process mining lies in "seamless integration of automation capabilities." This integration enables both a closed loop from problem discovery to implementation and continuous monitoring, and full-lifecycle management of enterprise automation capabilities — intelligently identifying RPA opportunities and validating their effectiveness on an ongoing basis.

Take the classic procure-to-pay process as an example. The ideal workflow appears clean and linear, but real-world operations can spawn hundreds of process variants: purchase orders pending approval, invoices submitted past deadline, special approval workflows, ad hoc price adjustments driven by market fluctuations, unexpected delivery changes, and more. When processes span multiple systems and organizations, process black holes emerge, leaving large enterprises struggling with inefficiencies and poor visibility.

In one state-owned enterprise deployment, Aionomic developed an intelligent solution combining "process efficiency analysis + compliance review + optimization strategy" tailored to the client's operational reality. Through intelligent analysis of human efficiency, activity duration, reverse flows, conformance checking, and sub-process analysis, the team identified breakpoints and bottlenecks. RPA was then deployed to unblock these bottlenecks, delivering visualized data insights and continuously optimizing workflow efficiency and compliance. With process mining, this client reduced average process time by 36% and return rates by 28%, while improving process transparency and automation maturity.

02

A Shared Trend Among Large Enterprises: Proactive Focus on Process Optimization

Public data shows process mining has been adopted at scale by 50% of Fortune 500 companies, and over 40% of RPA/IPA user enterprises have CIOs prioritizing the integration of process mining with business scenarios. According to IDC, by 2023, enterprises using process mining for end-to-end continuous process control and optimization will achieve at least 20% higher profits than peers without such improvements.

The consensus is clear: traditional technology and information systems can no longer meet the needs of large enterprises undergoing digital transformation. In China's process mining market, large leading enterprises in energy, manufacturing, banking, and other sectors have been the early adopters. Data-driven process optimization has shifted from reactive to proactive.

In banking, for instance, after years of digital transformation, a small number of leading institutions have recognized that simply redesigning processes based on business requirements is insufficient. Banks must proactively extract data from process execution, use process mining to reconstruct how operations actually unfold, and identify root causes to improve quality, reduce costs, and increase efficiency.

In one energy SOE's process mining implementation, numerous sub-processes spanned five systems and involved coordination across more than ten departments, with stringent compliance requirements and safety as the paramount concern. Aionomic's application significantly enhanced multi-process visibility and approval efficiency, laying essential groundwork for compliance and efficiency gains.

Throughout implementation, Aionomic's product philosophy — reshaping data structures from a business perspective, conducting process analysis and optimization guided by business KPIs — has been rapidly validated in practice over the past two years, earning broad adoption and recognition from leading enterprises in energy, banking, manufacturing, and other industries.

03

Partnering Across the Ecosystem to Lead the Digital Future

The release of this Everest Group process mining report both validates Aionomic's leading position in process mining technology and expands digital transformation options and opportunities for industries worldwide. The combined application of AI, process mining, and RPA represents a comprehensive, high-performance enterprise-grade flexible toolkit that helps organizations complete digital transformation more efficiently and precisely — improving operational efficiency, reducing costs, and maximizing value.

Going forward, by continuously improving performance, stability, and security, Aionomic process mining will evolve from tool to business product. From a business perspective, it will guide product evolution to become a daily operations platform for business process management, deeply integrated into process managers' workflows and embedded in enterprise collaboration ecosystems.

Only by diving deeper into enterprise process management can customer stickiness and product value be enhanced. Process optimization is also a continuous journey requiring high ecological standards across business system vendors, consultancies, and delivery partners. Aionomic will work hand-in-hand with upstream and downstream ecosystem partners to deliver more valuable integrated solutions for customers, continuing to lead Asia in process mining on the global stage and co-creating a digital future.