# AI-Powered Process Mining

Every business process leaves a digital trail. When an order is placed, a record is created. When it moves to fulfillment, another record. When it ships, is delivered, and is invoiced — more records. Process mining takes these digital breadcrumbs and reconstructs the actual process flow, revealing how work really moves through the organization.

The Gap Between Designed and Actual Processes

Every organization has documented processes — flowcharts, SOPs, workflow diagrams. These represent how the process was designed to work. The actual process, as revealed by data, is always different. Common discoveries:

• Happy path vs. reality: The designed process has 7 steps. The actual process averages 12 steps because of rework loops, exceptions, and workarounds.
• Process variants: What was designed as one process actually executes in 47 different ways depending on product type, customer tier, region, and which team handles it.
• Bottleneck migration: The obvious bottleneck (slow approval step) masks a worse one (the handoff between two systems that fails 15% of the time, triggering manual intervention).