Why Your AI Is Stuck in a Proof-of-Concept (and How to Ship It)

Your AI demo works. It's been "nearly ready" for six months. The gap between a demo and production isn't the model — it's everything around it. Here's what actually has to change. See where yours is blocked: https://concepttocloud.com/services/ai-data-preparation/ai-readiness-audit Why most AI never ships, and how to get yours to production: - The POC graveyard: why demos stall - The real blockers — data readiness, guardrails, security, evals, ownership - Our thesis: AI ships when the guardrails sit in the data model, not the prompt - The readiness checklist to get from demo to production Chapters 0:00 The demo that's been "nearly ready" for 6 months 1:15 Why POCs stall — 95% became 80% 2:02 The real blocker: data that isn't production-ready 2:52 Guardrails, security and compliance 4:45 Evaluations — how do you know the answer's right? 5:49 Ownership: who runs it once it's live 6:41 The readiness checklist 8:39 What happens when the LLM goes offline 8:55 Run the AI-Readiness Audit Concept to Cloud ships production AI in regulated, data-heavy industries — guardrails in the data model, not the prompt. Run the free AI-Readiness Audit: https://concepttocloud.com/services/ai-data-preparation/ai-readiness-audit #AI #machinelearning #production #dataengineering #MLOps