How AI-driven test selection helped one team cut testing time by 80%

Software development teams often face bloated testing processes that slow releases, inflate costs, and drain productivity. Legacy testing forces extensive test suites spanning days, creating bottlenecks that delay product launches.

This case study shows how a test data management provider used AI-powered test intelligence to improve release speed and efficiency. Key findings include:

· Predictive test selection cut regression testing time by 80% while maintaining quality
· Pre-commit testing reduced from 6 to 2 hours, speeding developer feedback
· Cloud savings achieved through intelligent test optimization

Discover how this organization doubled its annual release velocity.