Agentic Quality at Scale—Orchestrating a QA Swarm for Swift Delivery
As delivery cycles compress, single AI agents are not enough. The next leap is a coordinated swarm of specialized QA agents, each owning a slice of the quality lifecycle (requirements, test generation, execution intelligence, defect triage, and release decisions). This session shows how to design an agent operating model that scales across teams, products, and pipelines without losing trust, traceability, or control. This session will introduce a practical blueprint for deploying multiple cooperating AI agents across the SDLC, with clear boundaries, KPIs, and governance that align to engineering outcomes. Attendees will leave with a reusable operating model to introduce multiple QA agents safely, starting small, measuring impact, and scaling to a resilient, evidence-driven release process.
Praveen Bagare is an IT leader with 22 years of experience delivering AI-powered Quality Assurance and Test Data Management (TDM) solutions for large enterprises. His expertise spans program management, AI/GenAI-enabled delivery, and QA, with deep specialization in TDM. Known for client centricity and solving complex challenges, he builds high-performing teams and drives measurable improvements in quality, speed, and compliance. Praveen leads EPAM’s North American TDM Competency Center and is a senior member of the Quality Engineering track, guiding strategy and implementations that combine generative AI with leading TDM platforms. He has architected and managed TDM programs for Fortune 100 organizations across the U.S. He has presented white papers at PNSQC 2024 and 2025, and at STARWEST 2025, and was a presenter at AI Con USA 2025. He is ISTQB certified, a Senior Member of IEEE, and a TREWS Fellow. Outside work, he enjoys the outdoors with his family in Wisconsin.