Enterprise AI projects often get stuck between experimentation and production.
Teams move fast with AI, while IT is left to manage governance, security, cost, and long-term reliability across workflows that were never built to be maintained.
When AI adoption outpaces governance, Shadow AI fills the gap — scattered tools, one-off scripts, and processes no one can audit or scale. A shared platform layer changes that. With Dify, teams can turn AI ideas into maintainable workflows, built to operate in production, not just survive a demo.
Read more:
dify.ai/blog/why-ai-pocs-fai…