Process Mining process app authoring from a CSV or event log, covering template selection, data mapping, ingestion, transformation, and querying for throughput, variants, and bottlenecks.

A coding agent can take a raw CSV or event log and turn it into a queryable Process Mining app — mapping the data, loading it, running the transformation layer, and querying the result for throughput, variants, rework, and bottlenecks.

A process app moves through a lifecycle: it's created from a template and a data mapping, loaded with your source data, transformed through a dbt-based layer into the process model, and published so dashboards can query the full dataset. The agent drives every stage of this from the terminal.

Once published, the agent can query the app directly — grouped metrics, raw detail rows, percentiles, and root-cause analysis — or help you extend the data model with a custom analytical table.

This work is powered by the uipath-process-mining skill, which builds a process app from your data, authors the transformation layer, and queries the result. You can see it in the Skills catalog.

A first request might look like this:

"Create a process app from this event log and identify the main bottlenecks."

The agent picks the matching template, maps your columns, loads and transforms the data on a small subset first, then publishes once the model looks right.

For the full picture of Process Mining apps and dashboards, see the Process Mining documentation.