How QA Leaders Are Using AI for Faster, More Confident Releases,
Not Just More Tests
Discover how AI reshapes each phase of QA, from capturing requirements and generating tests to optimizing regression and managing business sign-off, with a live platform demo.
Meet the Presenters
Ravi Ayyalaraju
Ravi brings deep experience in enterprise application testing, change management, and AI-driven transformation across SAP, Oracle, and Workday ecosystems. He works directly with enterprise QA and IT leaders navigating the shift to AI-powered delivery.
David Pickrell
David has spent 20+ years working with large enterprises on delivery speed and change management. He developed the SAP Change Velocity Framework and brings hands-on experience from leadership roles at Worksoft, Oracle, and IBM/Tivoli.
Learn How AI Accelerates Every Stage of QA and Reduces Risk
Most QA teams have already added AI coding assistants and test automation tools, yet release pressure keeps rising and the underlying process stays the same. This session looks at what changes when AI is applied across the whole lifecycle, not just one task, from requirements understanding through release validation.
AI-Assisted Requirements and Business Context
How QA teams use AI to understand business requirements faster, even with limited access to business users, and improve collaboration between business, development, and QA.
AI Test Generation and Maintenance
How AI generates and maintains test cases as requirements change, easing the test maintenance burden that grows with every release.
In-Sprint Testing and Validation
How AI supports faster testing and validation inside the sprint, so QA keeps pace with compressed sprint timelines.
Risk-Based Testing and Regression Optimization
How AI helps decide what to test and optimizes expanding regression suites, so you cover real risk without testing everything.
Business Validation, Expectations, and Sign-Off
How AI supports business validation, expectation management, and release sign-off, reducing the delays that hold releases up.
Continuous Feedback and the Evolving QA Leader
How continuous feedback loops improve future release quality, and how QA leaders evolve from test execution managers to release confidence leaders.
See the TurboCore AI Platform in Action
You will see a live demonstration of the TurboCore AI platform working across the QA lifecycle, from requirements analysis and test design through impact analysis, regression optimization, validation, and release readiness.