Dispelling the coverage illusion:
A QA leader's playbook for end-to-end SAP quality in the agentic era

For 25 years, SAP QA teams have tracked the same scorecard: coverage. The percentage of transactions, screens, or test cases exercised has been the default QA metric — and the default release-meeting slide. But coverage measures what's easy to count, not what's likely to break.

And in modern SAP landscapes, the things most likely to break don't live only inside SAP. They live at the seams — between SAP and Salesforce, ServiceNow, Workday, custom approval apps, middleware, and the integration glue that holds it all together. A typical order-to-cash, procure-to-pay, or close-to-report cycle now spans half a dozen systems. Yet most SAP QA measurements still live inside the SAP boundary.

The solution isn't to add more coverage. It's to change the unit of measurement — and the operating model behind it. This white paper lays out a practical shift: from counting test cases to implementing robust process reporting, the three mindset moves that get you there, and the role agentic AI plays in making it possible without adding headcount or risk.

In this white paper, you’ll learn:

• Why coverage percentage has stopped meaning what it used to, and the risk that blind spot creates for SAP quality teams

• How agentic AI helps QA teams shift from counting tests to governing end-to-end process reporting across SAP and non-SAP systems

• How four agentic capabilities — test generation, change-impact analysis, self-healing, and orchestration — enable continuous testing across SAP S/4HANA, Fiori, ECC, and the apps around them