Token Economics & Governance for the AI-Native SDLC 

AI doesn’t just change how software is built. It changes the economics of building it.

This whitepaper explores why most AI development tools create a growing usage bill instead of a lasting competitive advantage—and how an architecture-first approach fundamentally changes the equation. Learn how persistent code intelligence, knowledge graphs, and governance create a compounding asset that reduces cost, preserves business knowledge, and scales with your organization instead of against it.

What you’ll learn:

• Why most AI coding tools create a recurring “ticking meter” instead of long-term value
  
• How persistent code intelligence dramatically reduces token consumption and AI operating costs
  
• Why knowledge graphs outperform stateless AI assistants for modernization and ongoing development
  
• How to preserve hidden business logic and reduce modernization risk through semantic understanding
  
• The governance questions every technology leader should ask before adopting AI development platforms