Why AI Code Generation Succeeds or Fails: The AI Readiness Model
AI code generation succeeds when organizations build systems for experimentation, advocacy, and guardrails that allow these tools to compound, not simply when the tools become good enough.
The AI Readiness Model
Organizational readiness for AI is the ability to reliably translate AI capability into production outcomes. It emerges when three conditions are present and reinforcing:
- Experimentation: Teams test tools in real workflows and generate early signal
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