Start as a managed implementation and enablement service for verification and QA^? leaders adopting AI-assisted testing. The first offer would audit an existing verification or QA^? workflow, identify high-return AI-assisted use cases, run a controlled pilot for test generation or debug assistance, and deliver a documented operating playbook with toolchain integration. Over time, recurring templates, evaluation harnesses, coverage metrics, and prompt/workflow libraries could become a lightweight product layer around the service.

Job ads show multiple employers now expecting AI-assisted testing and verification skills, indicating teams are moving from curiosity to operational adoption. Existing QA^? and EDA workflows are specialized enough that generic AI tooling needs domain-specific implementation and validation.