In this episode, Sujan chats with Chenab Khanna, Senior Outbound Product Manager from the ServiceNow Demo Hub team, about Finance & Supply Chain Workflows (FSC) — and why it's designed to complement existing ERPs rather than rip and replace them. After the conceptual setup, Chenab jumps into a live demo on a real instance, walking through the full flow on the Source-to-Pay Workspace and Supplier Collaboration Portal. What you'll see in this episode: 1) The three pillars of FSC: Sourcing & Procurement, Supplier Lifecycle Operations, and Accounts Payable Operations. 2) How ServiceNow FSC fits in with any other ERP. 3) AI agent driven supplier onboarding with a chain of AI agents handling registration, duplicate checks, region/industry-based task generation, and governance. 4) Document Intelligence for invoice processing — watch an attached invoice get parsed, PO numbers auto-populated, supplier matched, and duplicates flagged with zero manual data entry. 5) AI Data Explorer with natural language queries like "show me open supplier tasks assigned to me" — including grouped views, source table transparency, and sharing explorations with teammates. 6) New stuff in the Australia release: email thread summarization and sentiment analysis on cases so supplier managers can prioritise negative-sentiment tickets first Whether you're a ServiceNow developer eyeing a new workflow space or an architect figuring out where FSC fits alongside your existing ERP stack, this is a solid deep dive. 0:00 - Introduction & Meet Tonob Khanna 0:30 - The Manual Process Problem in Finance & Supply Chain 1:40 - What is FSC? The Three Pillars Explained 5:00 - How FSC Coexists with Big ERP Players 8:40 - Source-to-Pay Workspace vs Supplier Collaboration Portal 10:50 - AI in FSC: Agentic Procurement & Document Intelligence 13:30 - Live Demo: AI-Driven Supplier Onboarding 16:10 - Watching the AI Agents Work in Sequence 17:40 - Configuring Region, Industry & Compliance Tasks 20:20 - Invoice Processing with Document Intelligence 23:50 - AI Data Explorer: Natural Language Reporting 27:30 - Australia Release: Email Summarization & Sentiment Analysis 29:30 - Closing Thoughts