Following an insightful Day 1 that challenged traditional notions of quality and innovation, Day 2 of TribeQonf 2025 only deepened the narrative—this time pivoting heavily towards AI-driven testing and leadership transformation.
The day unfolded as a masterclass on the pragmatic integration of Artificial Intelligence into the QA lifecycle—right from automation and productivity, to agentic systems and strategic leadership.
A Power-Packed Kickoff
The day opened with a warm welcome by Paras Pundir, whose energy set an anticipatory tone for the sessions ahead. It was evident that Day 2 aimed to shift gears—from the ‘why’ of AI in QA to the ‘how’.
Resurgence of Quality Engineering with AI
Niranjan Srinivasan brought clarity on the Resurgence of Quality Engineering with AI, showcasing how the discipline is being reborn in the age of intelligence—not just automated, but amplified. His emphasis on contextual intelligence over automation alone helped us see AI not just as a tool, but a partner in engineering quality in Software Industry 4.0.
Autonomy in Testing with Agentic AI
A particularly striking session was by Rajalakshmi Srinivasan, exploring Agentic AI in Testing—a term that’s rapidly gaining ground. The idea of test agents learning and adapting autonomously is both exciting and thought-provoking. She navigated both the promises and pitfalls of autonomous test systems, making a strong case for purposeful adoption. The session addressed the challenges that come with AI autonomy—trust, observability, and adaptability.
Solution Spotlight Teaser: ACCELQ
Geosley Andrades’ quick teaser on ACCELQ’s AI-led capabilities gave a crisp glimpse into what’s possible with codeless, AI-powered automation platforms.
Stop Building AI Castles on Sand
And then came Rahul Verma, who shook the room (in the best way) with his talk: “Stop Building AI Castles on Sand: Foundations First, Agentic AI Can Wait”. A wake-up call to prioritize foundation over fascination. He reminded us that AI, without strong data, infrastructure, and test strategy, is just a castle doomed to collapse. He called out the temptation to rush into agentic tools without robust testing foundations—reminding us that maturity in test strategy must precede AI adoption.
A Fresh Perspective on Gen AI and Leadership
Post the networking break, Mahesh Venkataraman, with his topic “How GenAI Redefines Testing and Quality Leadership”, offered a refreshing perspective on GenAI—not merely as a tool but as a catalyst for leadership. He emphasized the need for ethical stewardship and adaptive strategy as AI reshapes the QA landscape. He dove into how Gen AI is reshaping quality leadership, requiring us to rethink our roles—not just as testers or engineers, but as AI-savvy decision makers.
Closed-Loop Testing with AI Agents: Learning from Production
Vinayak Hegde’s session on Closed-Loop Testing with AI Agents showcased real production scenarios where feedback cycles powered by AI drive continuous test evolution. He presented a compelling view into Closed-Loop Testing with AI Agents, where production insights fuel smarter, dynamic test coverage. I am sure the resources/links shared by him would definitely help others to learn and explore deep into AI in Testing.
Automation First in an AI-First Approach
And then came Ajesh Viswambharan, drawing a hard link between automation-first thinking and Cost of Quality (CoQ). With crisp metrics and focused outcomes, his talk emphasized how AI-first doesn’t mean automation-only—it means being strategic from the ground up.
Solution Spotlight Extended Demo
Post lunch, extended ACCELQ demo showcased a more detailed hands-on demo of ACCELQ, highlighting how the tool enables design-thinking for automation at scale.
Strategic Considerations for Designing Reward-Driven Multi-Agent Ecosystem
Aparna Gupta’s session stood out by bridging AI logic with reward systems. Her talk on Multi-Agent Ecosystems was futuristic, yet grounded with practical design considerations. She brought in strategic considerations that went beyond tooling—highlighting orchestration and incentive alignment across test agents.
Multiplying QA Impact with AI
Then came a power-packed session from Vignesh Srinivasa Raghavan, titled “The 10x Tester: How Do I (Thoughtfully) Multiply My Productivity with AI”. No fluff—just actionable frameworks to multiply output through AI. From adaptive scripting to intelligent defect prediction, it was a masterclass in tester enablement. He offered actionable insights on enhancing tester productivity through thoughtful AI augmentation—balancing intuition and intelligence with AI-powered leverage.
Using AI to Think Like a QA Strategist
Fathima Harris followed with a thought-provoking approach on thinking like a QA strategist in the AI age—a mindset shift we all need to embrace. She posed a critical question: “Are we thinking like QA strategists or just test executors?”. AI can suggest the how, but only we know the why.
Final Conversations and Reflections
The final panel discussion brought together Aparna Gupta, Vinayak Hegde, Rahul Verma, and Balaji Ponnada—a dynamic mix of voices tackling the hard truths and real use cases of AI-Augmented Testing.
The session offered a diverse perspectives on AI-augmented testing trends. From use case maturity to ethical boundaries, the panel didn’t shy away from complexities—and that made it all the more insightful.
From governance and regulation to implementation challenges, it was a session filled with candor and clarity. The consensus was clear: AI will not replace QA—it will elevate it.
Conference Wrap
Paras Pundir returned to wrap the day with gratitude and reflections, echoing what most of us felt—this is just the beginning.
Key Takeaways from Day 2
• Agentic AI is a powerful yet double-edged sword—its benefits are real, but must be grounded in robust foundations.
• Closed-loop systems and AI feedback cycles can truly accelerate quality at scale.
• Testers must evolve into QA strategists, blending cognitive skills with AI insight.
• Leadership in the AI era demands not just technical know-how but ethical foresight.
Final Reflection
If Day 1 redefined innovation, Day 2 redefined strategy. The sessions weren’t just about tools—they were about thinking models, ecosystem design, and the responsible scaling of AI in testing.
TribeQonf 2025 Day 2 was a deep dive into the reality of AI-infused QA. From thought leaders to hands-on practitioners, the collective wisdom shared was nothing short of transformative.
Looking ahead, I left the conference not only with new tools and techniques—but with a renewed sense of purpose and a strong belief: “AI is not replacing testers; it is redefining what it means to be one”.