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Wed, April 22 at 2:00 PM - 2:30 PM GMT+5:30ArchitectureDeepTech
Agentic AI is changing how enterprise SaaS applications are designed and delivered. However, rapid development without governance and control can introduce significant risks. This session introduces Launchpad, Pegasystems’ low-code, AI-powered platform for building enterprise-grade agentic SaaS at scale. The talk presents a developer-focused approach to designing AI-assisted applications, orchestrating agents through deterministic workflows, and delivering secure, multi-tenant SaaS in regulated environments.
You will learn how generative AI can accelerate application design, how workflow-driven orchestration governs agent behaviour, and how platform primitives support onboarding, integration, and usage tracking. The session focuses on practical architectural patterns that help teams build faster while maintaining reliability, control, and enterprise standards.
What You Will Learn
How AI-assisted development can accelerate the design of enterprise SaaS applications
How deterministic workflows govern and control agent behaviour in production systems
Platform patterns for building secure, multi-tenant SaaS with integration and usage tracking
Who Should Attend
Software developers and application engineers
Enterprise and solution architects
Platform engineers
Engineering leaders building AI-enabled SaaS platforms
Teams designing agent-driven enterprise applications
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Hitesh Mehata leads Launchpad engineering teams at Pegasystems, focused on building and running large scale, enterprise SaaS platforms. His work sits close to the metal—scaling multitenant systems, hardening reliability, and operationalizing AI driven capabilities for regulated environments. At GIDS, Hitesh brings real world lessons on turning agentic AI and low code ideas into production ready systems that hold up under load, complexity, and compliance.
Krishna Potluri is a Senior Director of Product Management at Pegasystems, shaping platforms used by developers to build complex enterprise SaaS and AI applications. He works closely with engineering teams to translate architectural patterns—workflows, lowcode, and agent orchestration—into developer friendly platform primitives. At GIDS, Krishna shares a product -meets - engineering perspective on designing platforms that help teams move fast without losing control or predictability.
