Dify：企业AI项目从实验到生产，平台层解决Shadow AI问题
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 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 ⚡