Modern software testing is under pressure - faster release cycles, complex integrations, and constantly changing UIs make it harder than ever to deliver quality at speed. Traditional automation struggles to keep up, often collapsing under high maintenance and slow adaptation.
This session reveals how AI can bring order to the chaos. By orchestrating Large Language Models (LLMs) and the Model Context Protocol (MCP), we can build an intelligent, self-improving test automation ecosystem.
Through a live, end-to-end demonstration, we’ll explore how AI can:
- Transform natural language requirements into rich, executable test scenarios
- Automatically generate ready-to-run test scripts
- Adapt instantly to UI/UX changes with zero manual updates
- Deliver actionable insights that resonate with both technical teams and business leaders
Attendees will leave with a clear understanding of the technical architecture, integration strategies, and measurable business impact of AI-powered testing - turning today’s fragmented processes into a streamlined, adaptive, and resilient testing practice.