The Enterprise QA Shift: Where Agentic Testing Helps, Where Humans Stay, and Practical Governance for Trust at Scale

In large enterprises, the goal is no longer “more automation.” It is making release decisions with confidence at scale. This session outlines how a modern Testing Center of Excellence can incorporate AI-assisted and agentic testing patterns, such as generating test candidates, simulating user journeys, triaging failures, and continuously validating critical workflows, while keeping humans accountable for risk decisions, intent, ethics, and approval. We will share a practical operating model for deciding which workflows are appropriate for AI assistance, and how to govern them through quality gates, auditability, and clear data boundaries. We will also cover common failure modes teams should plan for, including false confidence from unvalidated outputs, brittle prompt or configuration suites, coverage gaps, and operational cost and stability issues. Attendees will leave with a pragmatic blueprint for roles and responsibilities, human oversight decision points, and measurable indicators leaders use to evaluate quality and release readiness.