Enterprise software teams need more than static analysis and manual QA to manage quality at scale. This framework shows how to evaluate AI code quality platforms across five critical dimensions: system-level understanding, enterprise scalability, predictive defect detection, business impact visibility, and workflow integration. It also compares major solution categories and explains why predictive software quality platforms are emerging as the enterprise standard.