Process Mining + ERP: Cut Cycle Time, Boost Adoption, and De-Risk Go-Lives Meta

Why Process Mining Belongs in Every ERP Program

ERP projects stall when teams debate how work should happen instead of how it does. Process mining turns ERP event logs into flow maps—revealing rework loops, shadow steps, and exceptions. Paired with task mining (desktop capture), you get the ground truth required to redesign processes and set realistic SLAs.

From Logs to Insights

Extract order-to-cash and procure-to-pay events: create, change, release, pick, ship, invoice, pay. Measure throughput time, variant spread, and automation potential. Surface steps ripe for RPA or ERP workflow—credit checks, manual tax coding, duplicate vendor creation.

Prioritizing Fixes with a Value Tree

Tie each bottleneck to a financial lever: DSO, late fees, purchase price variance, inventory carrying cost. Build a ranked backlog that executives can fund. The result is an evidence-based roadmap instead of tool-driven wish lists.

Design, Test, Prove

Prototype changes in a sandbox. Use digital twins to simulate policy tweaks (e.g., credit thresholds) and show expected cycle-time reduction. After go-live, set up continuous conformance checking so the process doesn’t regress.

Adoption Through Visibility

Show front-line teams how automation removes keystrokes, not jobs. Publish role-based dashboards for sales ops, AP, and warehouse leads. Adoption follows when people see personal wins—fewer blockers, faster closes.

Quick Start

Pick one process, land 90 days of logs, and build the first value story. Expand only after you bank early savings. Process mining makes ERP a continuous improvement platform, not just a one-time implementation.