Process Mining for Finance and Operations

Process mining reveals how your finance, accounting, and operations processes actually work. We analyze real transaction and event data from your systems to identify bottlenecks, exceptions, and high-value automation opportunities.

What It Is

Process mining uses event log data from your ERP, accounting, and adjacent operational systems to reconstruct how processes actually execute. Every transaction, every handoff, and every delay is captured and visualized. The result is an objective, data-driven view of your finance and operations reality.

This approach reveals hidden bottlenecks, manual workarounds, and high-value automation opportunities that traditional process reviews often miss.

How It Works

1

Data Extraction

We extract event logs from your ERP, workflow systems, and databases. Every transaction creates a trail — we follow it.

2

Process Discovery

Algorithms reconstruct the actual process flow from event data. No interviews needed. No assumptions. Just data.

3

Conformance Checking

We compare the discovered process against your documented SOPs to identify deviations, workarounds, and undocumented steps.

4

Bottleneck Analysis

Statistical analysis identifies where delays accumulate, which handoffs create friction, and which steps generate rework.

5

Automation Opportunity Mapping

Every process segment is scored for automation potential using our six-criterion framework, with ROI projections.

What We Typically Find

Hidden rework loops

15-30% of transactions cycle through the same steps multiple times.

Approval bottlenecks

One manager becomes a single point of delay for dozens of processes.

Undocumented workarounds

Staff bypass official procedures — sometimes for good reasons that should be formalized.

Automation sweet spots

High-volume, rule-based segments that are perfect for immediate automation.

Stop Guessing Where the Bottlenecks Are

Book a 30-minute call to review event data readiness, what mining can answer for your finance or operations processes, and how findings connect to an automation roadmap.