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Task Mining

UiPath Task Mining

See the desktop work 
that system logs never capture.

UiPath Task Mining records how staff use their PCs (clicks, keystrokes, switching apps) and classifies it automatically with AI to show how work really gets done. Combining OS event logs and screen captures, it enables detailed analysis by person and team. Linked with UiPath Studio, the automation candidates it finds lead straight into robot development.

What you can do with UiPath Task Mining

  • Automatic activity logging

    Using OS event logs together with screen captures, it records clicks, keystrokes and app switching automatically, with no burden on staff.

  • Automatic classification with AI

    AI detects where the same patterns repeat, identifying what to automate without relying on intuition.

  • Process Mining integration

    Combined with UiPath Process Mining’s system log analysis, it gives a multidimensional view of the whole process.

  • Automation candidates in numbers

    Proposes what to automate along with estimated time savings, showing the return in numbers to help set priorities.

  • Privacy protection

    Passwords, personal information and the like are masked automatically and left out of recordings, balancing employee peace of mind with data use for improvement.

  • UiPath Studio integration

    Automation candidates flow seamlessly into UiPath Studio, taking you from analysis to implementation in one go.

Issues

Even as you make work more visible, do these challenges remain?

Choosing what to automate still relies on interviews and intuition

What to automate is decided from staff reports and rules of thumb, with little objective evidence.

With remote work, what people actually do has become a black box

Work you could once see in person is now hidden, making it hard to know where inefficiencies lie.

The same task is done differently by each person, with no clear way to standardize

Veterans and newcomers work in very different ways, and there is nothing to base a standard on.

UiPath Task Mining solves all of these at once.

Benefits

Find the answers for automation in how work really runs, with ITSO.

01

Certified UiPath partner

As an official UiPath partner, ITSO provides Task Mining implementation, analysis and adoption support.

02

Analysis together with Process Mining

We support multidimensional analysis combining Process Mining’s system log view with Task Mining’s view of what people do.

03

From finding candidates to building robots

We identify high-priority work from the analysis and take it straight into robot development with UiPath.

04

Privacy and data governance design

We design operating rules covering what is collected, masking settings and how to explain it to employees.

05

Experience with large organizations

From a small start in one department or site to company-wide rollout, we propose a plan that fits your scale.

06

Ongoing maintenance and analysis

Ongoing remote support, from continuous data collection and analysis reports to carrying out automation.

Flow

Three steps to go-live, in as little as two months.

  1. 1

    Choosing departments and tasks

    2–4 weeks

    We agree on scope and privacy policy, and clarify what employees will be told and how the data will be used.

  2. 2

    Agent setup and recording

    2–4 weeks

    A lightweight agent is installed on participants’ PCs to collect data for a set period, with activity logs aggregated so individuals can’t be identified.

  3. 3

    Analysis and automation proposals

    2–3 weeks

    We analyze the data, classify repetitive work and calculate the time it takes, then propose automation candidates.

Scene

UiPath Task Mining is at work across a wide range of industries and tasks.

  • Accounting

    Seeing how matching work jumps between systems

    Screen activity in invoice matching was analyzed to identify automation candidates in numbers, which were used to set RPA priorities.

  • Call center

    Finding why handling times vary by analyzing operators’ screens

    The screen patterns of top-performing operators were made visible, revealing why handling times varied and leading to better training.

  • IT department

    Standardizing work by mapping each department’s reliance on Excel

    How each department used Excel differently was made visible, separating procedures to standardize from tasks to automate.

Contact us

FAQ

  • Process Mining analyzes the overall flow across departments and systems from event logs in core systems and SaaS. Task Mining records clicks, keystrokes and screen activity on PCs to show the specific steps people and teams take. Its strength is uncovering manual work that never shows up in systems, such as copying data into Excel.

  • A standard implementation, from choosing departments to data collection, analysis and proposals, takes about 2–3 months. The collection period is adjusted to the nature of the work, and the scope can be widened step by step.

  • Passwords, personal information and the like are masked automatically and left out of recordings. We recommend explaining the purpose and scope to employees in advance and proceeding with their agreement. It is also stated in writing that the data is used only to improve work, never to evaluate individuals.

  • Yes. Automation candidates can go straight into UiPath Studio. If you already have robots, we also analyze overlaps and room for extension in our proposals.

  • Retention period, access rights and storage location are designed to fit your security policy. Using UiPath’s governance features, we help keep data limited to the scope and period you need.

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