What is Task Mining?

Task mining is an AI-powered technology that captures and analyzes low-level desktop activity (keystrokes, mouse clicks, and application navigation) to build an accurate picture of how business tasks are actually performed. Unlike process mining, which analyzes high-level system logs from ERP or CRM platforms, task mining captures the work that happens between those systems: the manual steps, workarounds, and shadow processes that traditional discovery methods miss entirely.

The result is process intelligence: a granular, data-driven view of real-world workflows that organizations use to identify inefficiencies, prioritize automation, and prepare for AI deployment.

Why task mining matters in 2026

According to the Gartner® Market Guide for Task Mining Tools, task mining is evolving from a back-office discovery tool into essential infrastructure for enterprise AI. As organizations move from planning AI adoption to deploying and measuring it, the need for accurate, task-level visibility has never been greater.

Gartner defines task mining as a technique to infer information from low-level event data available in UI logs derived from the underlying operating system or through observing application UI interactions. In practice, this means capturing the work teams actually do, not what the documentation says they should do, and not what they tell you in interviews.

The gap between those two things is where inefficiency lives. And it is where task mining delivers its value.

How task mining works

Task mining can take many different forms. Mimca approaches it from a unique, holistic perspective that delivers value throughout the entire process.

1. Data capture A lightweight desktop agent is installed on employee computers. It records clicks, keystrokes, and application interactions passively with no disruption to daily work and no need for IT integration or data preparation. Employees can pause the recorder at any time, and sensitive applications can be excluded from capture entirely.

2. Anonymization Before any data leaves the desktop, personally identifiable information (PII) is automatically detected and anonymized. Mimica uses one-way hashing to translate any text containing PII into an irreversible digest, meaning no PII ever reaches the cloud.

3. AI analysis and pattern recognition The captured data is processed by AI to identify recurring task patterns, surface variations in how different employees perform the same process, and flag inefficiencies, bottlenecks, and automation opportunities.

4. Process map and insights generation The output includes detailed process maps, standard operating procedure documentation (SOPs), prioritized automation recommendations, and ready-to-use Process Definition Documents (PDDs) and BPMN diagrams, the standard format used by automation and AI development teams to build and deploy solutions.

The entire cycle, from installation to actionable insights, takes as little as two weeks.

Task mining vs. process mining: what's the difference?

These two technologies are complementary but distinct. Process mining analyzes event logs from enterprise systems to understand high-level process flows. Task mining goes deeper by capturing the desktop-level work that happens between those systems.

Many organizations use both: process mining to understand the macro picture, task mining to fill in the gaps. Task mining is particularly valuable for organizations whose work spans multiple systems, spreadsheets, and manual steps that no single system log can capture.

Industry applications

Finance and shared services

Finance teams handling accounts payable, accounts receivable, month-end close, and reconciliation are among the highest-value targets for task mining. Work in this space is typically manual, spread across multiple systems, and poorly documented, making it almost impossible to improve without first seeing exactly how it flows.

ClearBank, the UK's fastest-growing clearing bank, used Mimica to map its back-office processes during a period of rapid growth: 91% income increase and 54% transaction volume growth in a single year. Task mining gave the team an accurate picture of how work was actually being done across employees with different tenures and working styles, allowing them to scale operations without scaling headcount linearly. 

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Insurance

For large insurance operations, the challenge is often visibility at scale. When you have thousands of people processing claims across dozens of applications, understanding where time is actually going and proving it with data requires something more reliable than interviews or observation.

A Fortune 100 property and casualty insurer used Mimica to analyze workflows across a 4,000-person claims management department. The result: 800,000 hours of manual effort identified for automation, a 10% improvement in productivity benchmarks, and $24 million in savings. 

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Operations and supply chain

Task mining is particularly valuable ahead of major system migrations, when organizations need to understand and document existing workflows before moving to a new platform and then measure what actually changed afterward.

The world's fastest international shipping provider used Mimica to map its US customs clearance processes before migrating from a legacy system built in the early 2000s. Mimica delivered process maps 95% faster than manual discovery methods and compiled 20 times more data, giving the team the performance benchmarks they needed to set standards for the new system and continuously monitor agent performance after go-live. 

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Healthcare

In healthcare, task mining is used for clinical workflow optimization, revenue cycle management, and compliance monitoring. The privacy requirements in this sector are among the most demanding of any industry, which makes local PII masking particularly critical. Sensitive data never leaves the user's machine, making it possible to capture accurate workflow data while meeting HIPAA and other regulatory requirements.

How does task mining handle privacy?

Traditional desktop recording tools are frequently blocked by IT and legal teams due to legitimate concerns about employee monitoring and data security. Modern task mining addresses these concerns at the architecture level, not just through policy.

Mimica's approach:

Local PII masking: All personally identifiable information is detected and anonymized on the user's device before any data is transmitted. No PII ever reaches the Mimica cloud.

Employee control: Employees control the recorder. They can pause or stop capture at any time: during personal tasks, HR conversations, or any activity they choose to exclude.

Selective application monitoring: Only business-relevant applications are included in capture. Sensitive or personal applications are excluded by default or at the employee's discretion.

Enterprise compliance: Mimica is compliant with GDPR, ISO 27001, SOC 2, HIPAA, and FedRAMP, covering the full range of enterprise regulatory environments.

This privacy-first design is also what enables Mimica to generate results quickly. Without the need for lengthy IT integration, data preparation, or manual setup, organizations move from installation to insights in as little as two weeks; compared to the three-to-six month industry average for traditional business process discovery methods.

How is task mining used for AI and automation?

The use case for task mining has expanded significantly as AI adoption has matured. It is no longer just a discovery tool for finding automation opportunities. It is now critical infrastructure for deploying and measuring AI.

Before AI deployment: Task mining maps how work is actually done, providing the accurate task descriptions that AI agents need to be designed correctly. As Gartner notes, the design accuracy of AI agents will ultimately define their success and that accuracy depends on understanding real-world task execution, not documentation.

After AI deployment: Task mining provides the measurement layer. By capturing how work is executed post-deployment and comparing it to the pre-AI baseline, organizations can quantify actual efficiency gains, identify deviations from expected behavior, and demonstrate ROI with data rather than assumption.

Once tasks are captured and mapped, Mimica's scoring engine ranks them by time savings, ease of automation, and ROI, then recommends the best-fit technology whether that’s robotic process automation (RPA), intelligent document processing (IDP), generative AI (GenAI), or agentic AI.

Key benefits of task mining with Mimica

Automated, accurate business process discovery Identifies when and where processes occur by analyzing repeated behavior patterns across employees without interviews, surveys, or manual observation.

Detailed process mapping Generates process maps with full visibility into steps, decision points, variants, and exceptions, down to the screenshot level. Outputs include PDDs and BPMN diagrams ready for automation and AI development teams.

Prioritized recommendations Surfaces metrics including handle time, process variance, and automation potential to guide optimization efforts, build stronger business cases, and maximize ROI.

Fastest speed to insights Zero data preparation, zero IT integration, zero consultants required. Install in minutes. Generate insights in two weeks.

Enterprise-grade privacy and security Local PII masking, employee-controlled recording, and compliance with GDPR, ISO 27001, SOC 2, HIPAA, and FedRAMP.

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FAQ

Is task mining invasive or a form of employee surveillance? No. Modern task mining is designed with privacy at its core, not as an afterthought. Employees control the recorder and can pause or stop it at any time. PII is anonymized before data leaves the device. The goal is to understand processes, not monitor individuals — and best practice, followed by Mimica and its customers, is to communicate clearly with employees about what is being captured and why before any recording begins.

How is task mining different from employee productivity monitoring? Employee productivity monitoring tools are designed to track individual performance: time on task, application usage, and activity levels. Task mining is designed to understand processes. It looks at how a group of employees collectively perform a task, identifies variation and inefficiency in that process, and surfaces opportunities to improve or automate it. Individual performance data is not the output and is not the goal.

How long does it take to see results from task mining? Mimica delivers actionable process maps and automation recommendations within two weeks of installation. This compares to a three-to-six month timeline for traditional business process discovery methods involving consultants, interviews, and manual documentation.

Does task mining require IT integration or system access? No. Mimica observes user interactions at the desktop level without requiring API access to backend systems, integration with ERP or CRM platforms, or significant IT involvement. The recorder installs in minutes and requires zero data preparation.

Can task mining and process mining be used together? Yes, and for many organizations this is the recommended approach. Process mining provides a high-level view of end-to-end process flows within enterprise systems. Task mining fills in the gaps — capturing the manual, cross-system, and shadow work that system logs cannot see. Used together, they provide complete end-to-end process visibility.