AI is only as good as the data it can access. When testing information sits scattered across documents, tickets, logs, and free-form notes, AI struggles to understand context, relationships, and history.
Healthcare has faced a similar challenge, using NLP and AI to extract valuable information from unstructured clinical notes alongside structured electronic medical records. Software quality is approaching a similar inflection point.
Platforms like TestRail provide the structured foundation AI needs: test cases, results, requirements, defects, and traceability organized into one...