Vinil Pasupuleti
Beyond Automation: Architecting AI-Native Enterprise Systems
Abstract:
Enterprise systems are shifting from traditional rule-based automation to AI-driven decision ecosystems. While robotic process automation and workflow engines have improved operational efficiency, they do not provide the adaptive reasoning, risk awareness, or policy-sensitive coordination required in today’s complex enterprise environments. The next major transformation is not simply enhancing automation, but building AI-native enterprise systems designed from the ground up to support intelligent, context-aware decision-making under governance and compliance constraints.
This talk outlines a structured architectural blueprint for designing such AI-native ecosystems using multi-agent systems operating across finance, HR, cloud infrastructure, and operational domains. It introduces a layered model integrating perception, reasoning, orchestration, governance, and execution into a unified AI operating framework. Emphasis is placed on constraint-aware orchestration, adaptive risk management, and enterprise-grade auditability to ensure trustworthy deployment at scale. Attendees will gain practical guidance on transitioning to resilient, compliant AI-native architectures, along with insights into emerging concepts such as AI control planes and self-exploring enterprise agents.
Profile:
Vinil Pasupuleti is a Senior Software Engineering professional and enterprise systems architect with over 11 years of experience designing, integrating, and validating large-scale cloud and enterprise platforms. He currently serves as a Software Developer at IBM, contributing to enterprise data modernization and cloud-based system transformation initiatives. Previously at Red Hat, he led quality and engineering strategy across global enterprise programs spanning HR, payroll, finance, CRM, and large-scale data ecosystems operating across 30+ countries.
His expertise includes enterprise architecture, system integration, data engineering, AI-assisted validation frameworks, and production-grade reliability. He is a Senior Member of IEEE, a Fellow of SCRS, and a member of ACM. Vinil also serves as a peer reviewer and Technical Program Committee (TPC) member for international conferences and journals in intelligent systems and computational networks, contributing to research in AI-native enterprise architectures and next-generation intelligent systems.