Understand exactly why most AI-built apps fail at the security review stage — not because the code is bad, but because the governance layer was never there
AI App Strategy
The AI App Production Checklist
AI tools like Cursor, Lovable, and v0 can spin up a working UI in minutes. But a working UI is not production software. This checklist shows you exactly what the governance layer looks like — and where most AI-built apps die before they ever ship.
Locked resource
The AI App Production Checklist
- Format
- Checklist
- Length
- 22-point checklist, 7 sections
- Delivery
- Browser access
01
What you get
Use the 22-point production readiness checklist to audit any AI-generated app before it touches real customer data
Identify which gaps you can close fast versus which require a governed platform layer
Know the five categories every production app must pass: auth, permissions, data governance, audit, and observability
Get a scoring rubric so you can prioritize what to fix first and communicate risk clearly to stakeholders
02
The details
What's inside
The 22-point checklist that separates an AI-generated demo from software your company can actually run in production. The guide is designed as a practical read: short explanations, concrete prompts, and enough structure to use it immediately.
Who this is for
Built for engineering leads, product managers, and technical founders who are already using AI coding tools like Cursor, v0, or Lovable to build internal apps or prototypes — and who need to understand what it actually takes to move those apps from demo to production without rebuilding everything from scratch.