The SAP test data question that most Autonomous Enterprise conversations skip over

Watch our live session with SAP community influencer Paul Kurchina and Eesha Gholap, Head of Product at Synthesized.
What it’s about

At SAP Sapphire 2026, the conversation was dominated by AI agents and autonomous workflows. What received far less attention was the foundation on which those agents depend. This session gets into the test data question most SAP programs haven't answered yet: why the data layer is where most transformations quietly lose time they didn't plan to lose, and what the teams getting it right are doing differently.

What you’ll learn
Why every pressure SAP QA teams face traces back to the same dependency
The four compounding problems that hold most programs back, and why they compound
What changes when agentic testing starts making demands of your data layer
What a test data control plane looks like in practice and how it scales with the program
Where to start if your program is still in migration
Why watch it

If you are responsible for SAP transformation, testing, or QA, this session reframes test data from an operational afterthought into a strategic lever for S/4HANA and AI success. It connects SAP's Autonomous Enterprise vision with the realities of migration overruns, quarterly release pressure, and rising agent behavior risk,  and provides practical answers on where most programs should start.

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Speakers

Paul Kurchina

SAP community influencer, advisor, and Enterprise Architect. One of the most respected independent voices in the SAP ecosystem.

Eesha Gholap

Head of Product, Synthesized. Works daily with SAP teams, navigating the shift toward agentic testing and autonomous enterprise operations.

Who this is for

SAP Program Leads

Driving S/4HANA programs and digital transformation.

SAP CoE Teams

Building standards, tools, and reusable test data capabilities.

QA Leads

Responsible for quality, testing strategy, and environment readiness.

Engineering Leaders

Focused on delivery velocity, reliability, and agentic AI readiness.

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