Business process intelligence: use cases
Concrete examples of where AI connects your SAP data to what's happening outside it.
Strategic process gap analysis
Most process-intelligence work asks how to automate what you already do. This asks a different question: what should you be doing that you aren't?
Your aggregated activity
SAP + connected systems + internal data
Public-domain signal
Filings, press releases, trade press, and more
Mechanic
SAP, adjacent systems (legacy ERP, CRM, and other systems of record), and internal unstructured data are all scored against standards-based process dimensions, producing one aggregated activity picture, not a SAP-only view. The same scoring applies to public-domain data: press releases, trade journals, industry sources, filings, and more.
Insight
Not all enterprise data lives in SAP. Manufacturing might run on legacy systems, sales and CRM in Salesforce. Low activity only signals a real gap once it's aggregated across your full system landscape and still thin.
Differentiator
Not automation of what exists: cross-system gap analysis of what should exist, aggregated across SAP and everything around it before comparing against public signal.
Where this stands today
Roughly 3,900 metrics already mapped to standards-based process dimensions, about 500 more underway.
More use cases
Migration & upgrade scoping
Scoping S/4 migrations from real usage data instead of stakeholder interviews.
Coming soon
Security & license exposure mapping
The same activity data flags SoD risk and underused, reclaimable licenses.
Coming soon