Why AI projects fail

Detail Page: /why-ai-fails

This page would expand with:

1. Full MIT Report breakdown - 95% failure rate - The five key failure reasons (Learning Gap, Wrong Problem, Brittle Workflows, Surface Integration, Investment Misallocation) - Build vs Buy statistics
2. Concrete examples - Wrong approach vs Right approach comparison (like the procurement invoice example) - Real failure patterns from mid-size companies
3. The symptoms checklist - “Is your AI tool abandoned after 2-3 months?” - “Does it require full context every session?” - etc.
4. CTA: “Let’s talk about your specific situation →”