The Failure Categorization AI feature in Test Intelligence automatically analyzes and categorizes test failures based on patterns, environment, browser, and operating system, helping ensure consistent handling of test failures and reducing manual triaging. This feature uses advanced pattern recognition to analyze details like browser type, operating system, error messages, and when the failure occurred to detect patterns across different test runs. It also provides dashboards for failure trend analytics, smart notifications and routing, historical pattern analysis, and time-saving automation, making it easier to identify recurring issues, assign failures to the right team, and focus on fixing issues instead of sorting them manually. The feature becomes smarter with each interaction, representing a shift in test failure management from reactive manual categorization to proactive intelligent classification.