Latest news with #MarlonDumas
Techday NZ
16-05-2025
- Business
- Techday NZ
Apromore boosts operational insights with native task mining
Apromore has announced updates to its process intelligence platform with the integration of native task mining capabilities. The latest developments by the process mining vendor expand the platform's capabilities to cover the entire spectrum of process intelligence - from enterprise-level overviews to individual user actions. This enhancement is positioned to help large organisations struggling to gain an accurate and representative view of their operations by bridging the gap between user task-level and process-level insights. According to Apromore, the updated platform provides organisations with greater visibility into operational workflows at both the macro and micro level. The integration allows businesses to monitor task-level data, such as employee interactions with digital interfaces, alongside broader system-level processes to understand and optimise how work is conducted. "The integration of task mining into the Apromore platform represents a major step forward in full spectrum process intelligence," said Marlon Dumas, Co-Founder and Chief Product Officer at Apromore. "By correlating employee-level digital interaction data with enterprise-wide processes, we give organisations unparalleled insights and the power to identify and automate the right tasks, support their workforce with better tools, and continuously improve how work gets done." The concept of full spectrum process intelligence is presented as a new approach to operational visibility. Apromore highlights that many businesses today still lack adequate insight into day-to-day work at the desktop level, where inefficiencies, unnecessary rework, and compliance issues tend to emerge. With the addition of integrated task mining, the Apromore platform aims to bridge this information gap by unifying the analysis of both task- and process-level activity in a single environment. The platform uses controlled, agent-based task mining technology. Apromore Digital Agents can be deployed to capture targeted screen and field-level interactions on user workstations at configurable intervals, providing information on user routines and exposing manual tasks that are often missing from standard system logs. This data is securely processed, reviewed, and then incorporated into the Apromore system for further analysis. Apromore's updated task mining approach emphasises privacy and security. The platform uses a privacy-first design, ensuring anonymisation during data capture, protection of personally identifiable information, user consent, and compliance with global privacy standards such as the General Data Protection Regulation (GDPR). This is aimed at giving enterprise customers confidence in adopting the technology for sensitive operational analysis. The platform delivers action-oriented insights with features such as in-app guidance, key performance indicator (KPI) monitoring, and an AI-powered Copilot to simulate automation opportunities. These features are intended to support organisational teams in optimising operations and reducing business risk in a measurable and sustainable way. With the release of Apromore version 10.3, the platform now includes several additional enhancements. The Copilot functionality has been expanded, enabling users to ask natural language "what-if" questions to simulate process changes and receive detailed, AI-generated improvement suggestions. Lite dashboards have also been introduced, providing real-time operational performance metrics and visualisations through a simplified, customisable interface. Enhancements to the Compliance Center allow for automated control testing that now uses both process- and task-level data, increasing oversight and audit readiness for enterprises. Apromore indicates that its clients span industries such as financial services, banking, manufacturing, and energy, using full spectrum process intelligence to streamline operations, eliminate inefficiencies, and automate complex workflows.
Business Wire
15-05-2025
- Business
- Business Wire
Apromore Unveils Full Spectrum Process Intelligence With Task Mining
MELBOURNE, Australia & NEW YORK--(BUSINESS WIRE)--Apromore, a global leader in process mining and AI-driven business process optimization, today announced updates to its process intelligence platform, now featuring fully integrated native task mining. By unifying user task-level and process-level insights, Apromore empowers organizations to streamline operations, eliminate inefficiencies, and automate complex workflows. The integration of task mining into the Apromore platform represents a major step forward in full spectrum process intelligence Share 'The integration of task mining into the Apromore platform represents a major step forward in full spectrum process intelligence,' said Marlon Dumas, Co-Founder and Chief Product Officer at Apromore. 'By correlating employee-level digital interaction data with enterprise-wide processes, we give organizations unparalleled insights and the power to identify and automate the right tasks, support their workforce with better tools, and continuously improve how work gets done.' Full Spectrum Process Intelligence: A New Standard for Operational Visibility In today's dynamic business environment, continuous improvement starts with visibility. Many organizations still lack insight into how work is actually performed at the desktop level—where inefficiencies, rework, and compliance gaps often originate. Apromore's integrated task mining bridges this blind spot by unifying task- and process-level data in a single platform. By securely capturing anonymized user interactions—such as clicks, keystrokes, and in-app activities—Apromore uncovers hidden friction, quantifies productivity losses, and reveals improvement opportunities. These insights empower teams to iteratively optimize operations, reduce risk, and accelerate digital transformation in a measurable, compliant, and sustainable way. Key Capabilities Controlled Agents-based Task Mining: Apromore Digital Agents capture targeted screen and field-level interactions from user workstations at configurable intervals. Data is processed, staged, reviewed, and ingested into the Apromore platform to uncover user routines, monitor performance and compliance, and expose manual tasks often hidden from system logs. Privacy-First, Security-Fortified Architecture: Built with enterprise-grade security, Apromore ensures anonymized data capture, confidential protection of PII data, user consent, and compliance with global privacy standards like GDPR. Action-Oriented Insights and Automation Support: Delivers actionable recommendations through in-app guidance, KPI monitoring, and an AI-powered Copilot for simulation and automation opportunity discovery. What's New in Apromore 10.3 In addition to now featuring fully integrated native task mining, the Apromore version 10.3 release includes other updates, such as: Copilot enhancements: Ask natural language 'what-if' questions to simulate process changes, and receive detailed, AI-generated improvement suggestion. Lite dashboards: Access real-time, operational performance metrics and visualizations from a centralized interface with simplified drag-and-drop customization and effortless sharing, improving accessibility and collaboration across departments. Compliance Center enhancements: Automated control testing based on process and now task- and user-interaction data allows for greater oversight, audit readiness and compliance. For more information about Apromore Task Mining and Full Spectrum Process Intelligence visit: About Apromore Apromore is a leading provider of AI-powered process intelligence solutions, enabling organizations to unlock the full potential of their operations. Our platform blends process mining, task mining, simulation, and predictive monitoring to provide actionable insights that drive real transformation. Recognized as a 3X Leader in the Gartner® Magic Quadrant™ for Process Mining Platforms, Apromore is trusted by global enterprises across finance, healthcare, energy, and more for its intuitive, no-code user experience and fast time-to-value. Learn how Apromore is accelerating real-world transformation here:
Forbes
07-04-2025
- Business
- Forbes
AI-Driven Process Intelligence At Westpac
Westpac Bank office in Sydney Getty Images I am a big believer in process mining. My devotion to the approach is partly based on a strong belief in the value of a process orientation; I don't think organizations can improve their operations effectively without it. And I confess I also like process mining because the concept was invented by academics. I feel strongly that the combination of academic thought leadership and thoughtful adoption of their ideas by businesses is very powerful. That's a combination of forces that is working well for Apromore, a no-code process and task mining vendor, and Westpac Banking Corporation down under in Australia. Apromore was founded by two professors, both of whom are still actively involved in the company. Marlon Dumas, a professor at the University of Tartu in Estonia, has authored or co-authored a number of highly-cited books and articles on process management and mining. He's the head of product for Apromore. His co-founder Marcello La Rosa is CEO of Apromore and a part-time professor at the University of Melbourne. He's also published a lot on process management and mining, including one of the better-selling books on the topic (co-authored with Dumas and others), Fundamentals of Business Process Management. But a software vendor can't succeed without customers invested in making change and leveraging their wares . Westpac established an 'Intelligent Process Office' in 2022, and it has rapidly addressed more and more processes over time. It started with just two staff and 21 improvement and automation projects in 2022, and progressed to a small team of full-time employees and over 150 projects in 2025. Abhi Kadian is the bank's Chief Process and Intelligent Automation Officer, and heads what is now called the Process Intelligence and Automation Center of Excellence (PIACoE). Adopting Process and Task Mining at Westpac Westpac started with process mining because, like many organizations, its leaders wanted to help make workflows more efficient. 'As a service company our processes aren't highly visible. We see staff behind computers, not tangible processes like manufacturing companies,' said Kadian. The bank already had defined workflows, process performance targets, and various IT tools to support processes, however there were some gaps between the envisioned processes and actual work behaviors. The creation of the PIACoE was intended to provide an enabling resource for process monitoring, improvement and management—including tooling, methodologies, sources of data, and training. Process mining tells whether the process is changing and yielding the desired performance; if it isn't, the group undertakes task mining to find out why. Task mining isn't as widely used as process mining, but it's very helpful in understanding what's happening with work tasks at a detailed level. Process mining is macro-level, task mining is micro. Like process mining, it draws data from the software people use to do their work tasks 'Westpac's process analysts operate with the assumption that by showing what is truly occurring in the process at the micro task level, we can implement interventions to help achieve better business and customer outcomes,' said Kadian. For example, they found after examining poor task mining numbers that workers in one process were spending a lot of their time taking notes of what was on their computer screens. When they discussed this with the workers involved, they learned that the information in that particular system was disappearing while it was still needed. They made it more persistent, and the productivity improved immediately. Simulating and Optimizing Processes with Digital Process Twins Apromore, like some other process mining systems, will identify problem areas and potential areas for improvement in the process being mined. But it goes further in creating a digital twin of the process, allowing process analysts at Westpac and other customers to simulate and optimize the process. The analyst can specify possible interventions—adding more people to perform a task or eliminating a step in the process—and understand what the implications for process performance would be. The combination of process mining, task mining, and simulation for a specific process enables what Apromore's La Rosa calls a 'round trip'— mapping the process, assessing its performance, understanding problem areas with task mining, identifying options for change with digital twin simulation, and then making and monitoring the change. That approach is the key to getting better process performance from these tools. Westpac is certainly taking a 'round trip' with its processes. Every year they do more of these engagements across the bank using all of the process tools. They're able to do 150 projects in a year not only because they've added people, but also because the tools and their experience have brought down both the cost and the time of a full assessment and digital twin analysis. The cost of doing a project has come down by 85 percent over four years. Kadian has been overseeing robotic process automation (and now intelligent process automation including machine learning) projects for many years and still believes they are useful, but he feels that process and task mining are much more applicable and offer more value to the business. He argues that, 'Process is everywhere and the interventions that can be applied include eliminating, simplifying and automating processes.'
