Raghuram Katakam is a Senior Software Engineer at Microsoft with 18 years of Techno Functional experience in Enterprise Resource Planning (ERP) systems, intelligent automation, and AI driven enterprise architectures. He specializes in SAP S/4HANA, Billing & Revenue Innovation Management (BRIM), Central Finance, and Enterprise Revenue Management, designing scalable financial platforms and high volume billing solutions for global organizations.His work includes implementing Agentic AI systems, AI powered workflow automation, and NLP based enterprise chatbots, along with developing compliant trade screening and tax automation processes across multinational regulatory frameworks. He brings deep functional expertise in Financial Accounting, Order to Cash, Subscription Billing, and Banking Communication Management.Raghuram has contributed to scholarly research in supply chain responsiveness, warehouse optimization, risk mitigation, and agent based modeling, with publications in international journals and IEEE venues. He integrates ERP domain mastery with modern AI/ML engineering to build intelligent, cloud ready, and compliant enterprise systems.

Title: Agentic Finance: From Order to Continuous Close - How AI Agents Are Transforming the Financial Value Chain - Abstract:  For decades, organizations have focused on optimizing individual finance processes such as ordering, billing, collections, payments, tax compliance, and financial reporting. While automation and ERP systems have improved efficiency, finance operations often remain fragmented, resulting in disconnected workflows, manual handoffs, operational risk, and costly exceptions. Agentic AI introduces a new paradigm: intelligent, goal-oriented AI agents that can reason, plan, collaborate, and act across the entire financial value chain. Rather than automating isolated tasks, Agentic AI enables organizations to orchestrate end-to-end financial processes spanning order management, contract validation, revenue recognition, invoicing, accounts receivable, collections, payments, treasury operations, banking integrations, tax compliance, security controls, regulatory reporting, and financial close activities. Drawing from nearly two decades of experience in SAP, FinTech, enterprise finance systems, compliance, and AI-driven transformation, this session explores how organizations can build trusted Agentic Finance ecosystems that enhance productivity, improve compliance, reduce operational risk, accelerate decision-making, and strengthen financial governance. Attendees will learn practical strategies for designing AI-powered finance operating models, establishing governance and control frameworks, and implementing multi-agent architectures that deliver measurable business outcomes while maintaining transparency, accountability, and regulatory compliance. The session concludes with a vision for the future of finance, where human professionals and AI agents work together to create intelligent, continuously monitored, and audit-ready financial operations, transforming finance from a collection of siloed processes into a connected, autonomous, and trusted enterprise capability.