Edition #3 – Curated AI: I Read 50 AI Articles So You Don’t Have To
The AI hype cycle has shifted from “Wow, look what it can do!” to “So… why isn’t anything in production?”
Across industries, business leaders are discovering a sobering truth: launching an AI pilot is easy scaling it is a different sport entirely.
Most companies are now sitting on a growing pile of promising demos with no path to production.
This edition explores how to break out of that trap and finally turn demos into delivery.
🔍 This Week’s Curated Insight
📰 Must-Read:
“From Pilot Purgatory to Production: The 14-Month Timeline”
👉 Read the article here
💡 Why it matters:
It’s not that the models don’t work. It’s everything around them that often doesn’t.
Production success demands a different kind of discipline:
• Aligned workflows and incentives
• Clean, reliable data pipelines (not perfect just production grade)
• Change management (still underrated)
• Governance, explainability, and ROI modeling
The article unpacks why most AI efforts stall after the demo and why the teams that win are the ones who treat operationalization as a strategic, cross functional challenge.
⚠️ Common Misconception
“If the pilot works, scaling is straightforward.”
🚫 False.
A Minimum Viable Product (MVP) impresses on day one.
A Minimum Viable System (MVS) performs every day after.
Think of the MVS as your AI’s scaffolding monitoring, compliance, workflow integration, and human in the loop decision points. Most teams underestimate this entirely, then wonder why value doesn’t materialize.
✅ Leadership Takeaway:
The 5 Point Go/No-Go Production Checklist
Before moving any pilot forward, ask yourself:
