The SIL/HIL testing domain continues to rely on rigid, vendor‑locked workflows that limit efficiency and modernization. Function developers and testing teams find themselves operating in a complex, fragmented landscape, and as AI‑driven testing advances elsewhere, the gap widens, leaving automotive teams dependent on vendors trying to retrofit new AI capabilities into proprietary, non‑AI‑friendly formats and tools. This presentation introduces a test automation SDK that provides an abstraction enabling the SIL/HIL domain to benefit from existing and future open‑source QA technologies. The approach reduces cost and effort while allowing teams to immediately leverage modern testing practices and AI advancements.

• Benefits of a unified Python SDK abstraction layer for SILHIL testing
• Enable modern QA workflows through simplified, vendor‑agnostic interfaces
• Introduction to an open, futureproof approach that unlocks AI‑driven and open‑source testing tools