We extract and analyze SAP event logs to map your actual process flows, quantify cycle times, and identify where execution diverges from design.
We compare your as-executed processes against your designed process model, surfacing non-conformant variants and their business impact.
We identify where processes stall, who touches them most, and what triggers rework, with data rather than stakeholder interviews.
We build the business case for intelligent process automation by identifying which process steps are high-volume, rule-based, and currently manual.
We configure ongoing process monitoring so deviations are caught in near real time, not discovered in a quarterly review.
Insight without action is a report. We translate process mining findings into a prioritized improvement roadmap and deliver the changes through your SAP environment.
Before an S/4HANA migration or process redesign, process mining establishes what you are actually moving, not what the process documentation says you are moving. Scope becomes defensible. Risks become visible.
After implementation, process mining identifies where the live system diverges from the blueprint and where adoption gaps are costing the business. Continuous improvement becomes data-driven rather than ticket-driven.
Intelligent process automation and agentic AI initiatives need to be targeted accurately. Process mining provides the evidence base for which processes to automate, in which sequence, and with what expected return.
We agree on the process scope, extract the relevant SAP event logs, and validate data quality before analysis begins.
We run the process mining analysis, identify variants, quantify bottlenecks, and build the process maps your team will actually use.
We present findings with business impact quantified and improvements prioritized by effort and value.
Where the engagement includes delivery, we implement the agreed changes through your SAP environment and configure ongoing monitoring.
When automation is designed by people who understand how SAP processes actually run, fewer exceptions need human handling and fewer bots require emergency fixes after upgrades.