Alex Seymour & Kyle Sava | From Demo to Production: What Actually Breaks

Alex Seymour is a contributor to IBM’s open-source agent infrastructure (BAI framework, Agent Stack, and the Relay project), exploring what it takes to build general-purpose agentic systems at enterprise scale.Kyle Sava took a different path — he identified a real pain point as a tech seller, built a conversational AI roleplay tool on the side, and grew it into WatsonX Workshop: an internal AI-powered platform now being used by IBM’s sales teams to practice pitches, prep for meetings, generate podcasts and videos, and learn products faster.What we covered:Why enterprise and consumer AI are more similar than you think — until governance enters the roomWhat “production-ready AI” actually means (Alex: it solves a problem. Kyle: it earns defensible trust at scale)The first thing that breaks when you go from demo to production — hint: it’s not what you thinkThe real state of MCP, A2A, and whether protocol standardization matters in enterpriseWhy RAG doesn’t scale vertically — and what to do about itAdvice for anyone deploying AI today: experiment relentlessly, and don’t be afraid to let AI write the code