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Mayank
Agarwal
Director of Product Management, AI Products
RingCentral
Mayank is Director of Product Management for AI Products at RingCentral, where he leads the AI Assistant products across the company's collaboration, communication, and contact center suites, shaping how millions of enterprise users interact with AI in their daily workflows. His work sits at the intersection of agentic AI architecture and large-scale product delivery, navigating the real-world constraints of latency, reliability, cost, and trust that separate impressive demos from systems businesses actually depend on. Before RingCentral, Mayank founded an AI-first global macro trading firm where he designed and built autonomous trading systems across equities, fixed income, commodities, and currencies. There, he built multi-agent architectures where specialized agents collaborated, competed, and coordinated with each other. He also pioneered reflection agents that continuously evaluated their own strategy performance, detected signal decay, and autonomously improved without human intervention. The unforgiving feedback loop of financial markets, where poor AI decisions have immediate, measurable consequences, shaped his approach to building systems that must be not just intelligent, but self-aware and resilient.
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22 September 2026 09:00 - 09:15
Chairperson opening remarks
Kick off the summit by meeting the room, breaking the ice, and sharing your experiences with fellow attendees before diving into a day of ideas, insights, and connections.
22 September 2026 16:45 - 17:00
Closing remarks
Our chairperson will close out the end of day one of the summit as we reflect on all the sessions of the day and prepare for day two.
23 September 2026 09:00 - 09:15
Chairperson opening remarks
Day two kicks off with our chairperson's opening remarks, It's time to get moving and networking! Let's dive into the topics of the day and meet some new faces.
23 September 2026 14:00 - 14:15
Closing remarks
And that's a wrap! Our chair will give the closing remarks and that marks the end of the final day of the summit.
23 September 2026 13:45 - 14:15
Recursive Self-Improvement: Building AI Agents That Improve Themselves
AI features ship, then quietly degrade. Data drifts, patterns go stale, and product managers become full-time babysitters, watching dashboards and filing tickets for problems the AI can't see in itself. This talk makes the case for agents that close that loop on their own. Drawing on the AI-first trading firm he founded, Mayank shows how a self-correcting agent diagnosed its own losses, rewrote its strategy code, and improved its Sharpe ratio autonomously, then breaks down how the same pattern applies to any AI product with a measurable metric and a threshold for action. Attendees can expect to learn about: - Why AI features degrade silently, and why monitoring alone doesn't fix it - How to map agents, skills, and tools onto the reflection loop PMs already run - A real self-correcting agent: its diagnosis, its fix, and its measured improvement - The three ingredients every self-correcting AI product needs - Guardrails that let an agent act without letting it overreach - Three decisions to make Monday morning to start building this into your product