Rethinking PM : Building, Pricing and Scaling Products in the Agentic Era

AI agents are challenging traditional approaches to product development, business models, and monetisation. From feature-led roadmaps and seat-based SaaS pricing to long release cycles, established product practices are being questioned. For Product Managers and business leaders, the challenge is understanding what needs to change and where lasting product value will come from.

Join us for an engaging Industry Connect session with Srikanth Kamaraju, Executive Vice President and India Practice Leader at Bounteous, as we explore “Rethinking Product Management: Building, Pricing and Scaling Products in the Agentic Era.” With 26 years of experience across Adobe, Cognizant, and Bounteous, Srikanth brings expertise in digital experience, solution architecture, customer success, GenAI, and enterprise practice leadership. He will share a practitioner's perspective on how AI is reshaping product development and what it takes for products built in India to compete globally.

The discussion will examine whether the much-talked-about SaaSpocalypse signals a fundamental shift or an overhyped disruption, what makes products defensible in an agent-driven world, and how companies can turn intellectual property into sustainable business value. From AI-native product thinking and outcome-driven development to pricing models, packaging, and the transition from services to products, the session will offer practical perspectives for professionals across product, engineering, delivery, presales, and consulting.

### Key Takeaways

• A new mental model for product management. Why roadmap-and-backlog PM is giving way to outcome-driven, AI-native product building.
• A realistic view of the SaaS disruption. What AI agents threaten (seat-based pricing, thin UI layers, point solutions) and what stays durable (data, workflows, trust, ecosystems).
• A practical playbook for monetizing IP, with a Bharat-to-world lens. Lessons on moving from services to products, pricing, and packaging (seat vs. usage vs. outcome-based models)