The pace of software delivery has reached unprecedented levels, driven by AI-assisted development and DevOps practices. But testing remains a persistent bottleneck, and teams are facing an uncomfortable truth: they test too much of the wrong things and too little of what matters.

This white paper explores how AI-driven quality intelligence is reshaping enterprise QA to deliver better software, faster.

Learn how leading organizations are moving beyond automation to implement smarter testing strategies that align with business value and reduce risk.

What you’ll learn:

• How to identify and close real coverage gaps without generating thousands of redundant tests.
• The framework for implementing quality intelligence that maps code changes to business flows and user stories.
• Why AI-generated tests fail without coverage intelligence, and the precision approach that generates only the tests that matter.