Defect logs told only half the story. Fields were missing, duplicates slipped through, and critical bugs kept resurfacing. Nearly 2,000 records piled up – unstructured, unreliable, and slow to triage.
Every release meant long hours, guesswork, and leaning too hard on SMEs for answers.
Then came the question: what if defects could explain themselves before anyone even opened a ticket?
Defects diagnosed. Fixes auto-suggested.
Standardized and structured defect data for reliable AI analysis
Auto-tagged, linked, and summarised defects with context
Identified duplicates and similar defects with 60-70% accuracy
Generated relevant regression and new test cases to close coverage gaps
Integrated incident data for richer diagnostics
70% reduction in manual defect triage effort
50% faster defect report generation
Less dependency on SME knowledge, more reliable insights
Smarter diagnostics and complete test coverage
By embedding Agentic AI into quality engineering, Infosys helped the insurer simplify defect management, reduce fatigue, and accelerate releases, all while maintaining high accuracy and coverage.
