Building an AI Engineering Observability Platform for Test Automation
Tracking static productivity percentages (e.g., 75%–80% savings) is no longer enough to prove real enterprise value. To provide transparency, governance, and business ROI, you must convert your AI-driven test automation framework into an AI Engineering Observability Platform.
Current Gap in the Model
Many teams showcase an agentic setup:
While this tracks estimated effort reduction (e.g., 45 hrs → 9.5 hrs), stakeholders often ask:
