This session address how intelligent quality engineering transformed a legacy testing landscape into an adaptive, self-evolving quality ecosystem. Confronted with slow releases, limited coverage, and fragmented ownership, the shift focused on clarity, capability, and intelligent design. 

Dual environments ensured stability, structured triage streamlined focus, and AI-driven testing brought precision and agility. As teams upskilled, testing evolved from scripted execution to continuous learning. 

The result—faster delivery, stronger collaboration, and quality that sustains itself. This is the journey of how pragmatic leadership and agentic intelligence redefined what modern testing can be: purposeful, autonomous, and built to last.

Key Takeaways:

• Accelerate testing from weeks to hours with AI-driven automation
• Rewire ownership and eliminate external reliance through upskilling and autonomy
• Unify quality across platforms for consistent, reliable releases
• Modernise legacy testing without disruption — triage smartly and embed intelligence where it delivers most value