Post by VeUP

Picture this: your CIO forwards a note from the CEO. “Executive Committee expects AI features in Q3. We have six weeks to ship a production-safe first version. What’s our roadmap?” Most teams don’t stall because the model isn’t good enough. They stall because there’s no operating model for getting agentic features into reliable production. The failure modes are familiar: - The shiny demo ships. The production path doesn’t. - Monitoring stops at “200 OK.” - Ownership becomes unclear once support tickets appear. - Infrastructure patterns weren’t designed for probabilistic, high-latency workloads. The shift is simple: 1. Stop thinking “Add AI to Product X.” 2. Start thinking “How do we operate AI safely in production?” This carousel outlines the practical path we use: Tickets → Telemetry. Comment “AI READY” and I’ll send the full guide. Where are you feeling the most friction right now: ownership, guardrails, or telemetry?