企业AI团队和IT管理者终于有了一个平台层方案来治理Shadow AI——Dify让AI想法变成可维护的生产工作流，做AI落地的团队可以直接试试。
企业AI项目常卡在实验与生产之间：团队快速推进AI，而IT部门却要管理治理、安全、成本和长期可靠性。当AI采用速度超过治理能力时，Shadow AI（影子AI）就会填补空白——分散的工具、一次性脚本、无法审计或扩展的流程。Dify提供了一个共享平台层，将AI想法转化为可维护的工作流，专为生产环境而非仅演示而构建。这解决了企业AI落地中的治理与扩展痛点。
Enterprise AI projects often get stuck between experimentation and production. Teams move fast with...
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-po… 💬 0 🔄 1 ❤️ 1 👀 284 📊 1 ⚡