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.
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