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Can AI finally solve the QA bottleneck? While AI has exponentially boosted developer velocity, many QA teams are struggling to keep up, creating a massive bottleneck in the enterprise software lifecycle. In this session, Shachin (Co-Founder & President, EverTest) joins Hemant (Executive Chairman, TechGrit) to explain why general-purpose AI tools often fail at complex UI and integration testing and how to leverage institutional knowledge to build a "context-aware" automation strategy. Watch the full session to understand: The Dev-QA Productivity Gap: Why development is moving at 10x speed while QA remains an incremental function. The Context Problem: AI excels at unit and API tests because the context is clear, but struggles with the "nebulous" context of business workflows and DOM structures. Trust vs. Flakiness: Why "hallucinations" are helpful in development but dangerous in testing? The Shift from QA to QE: How the role of the tester is evolving from writing scripts to becoming the human "gate" and trainer for intelligent platforms. Don’t let your testing suite become a collection of "flaky" scripts that nobody trusts. Reach out to us at Let's Work Together! | TechGrit or support@techgrit.com for a free assessment of your current automation trust-score.