In our recent discussions, A lot of business teams are asking for AI workflows faster than their org...
TL;DR · AI 摘要
文章主要介绍Dify团队对AI工作流程需求的调研，但内容缺乏技术深度和具体实践指导。
核心要点
- Dify正在收集企业对AI工作流程的需求，以指导未来产品开发。
- IT团队在扩展AI时面临治理、安全和控制的挑战。
- 文章提供了一个2分钟的调查链接，但未深入探讨技术实现或解决方案。
结构提纲
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思维导图
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查看大纲文本（无障碍 / 无 JS 友好）
- AI工作流程调研
- 挑战
- 治理
- 安全
- 控制
- 调研方法
- 2分钟调查
- 目标
- 优化产品开发
金句 / Highlights
值得收藏与分享的关键句。
Many IT teams are facing the same challenge: How do you scale AI across the organization without losing governance, security, and control?
We're collecting the AI workflow requests business teams keep dropping in your backlog.
The patterns that come up most often will guide what we build next as free, production-ready templates.
Dify on X: "In our recent discussions, A lot of business teams are asking for AI workflows faster than their orgs can ship them. We're curious which ones keep getting stuck in IT and AI Platform backlogs, and what makes them tough to ship. ⏱️ 2-minute survey: https://t.co/z8zlU2X3O6 If you" / X
Dify
@dify_ai
In our recent discussions, A lot of business teams are asking for AI workflows faster than their orgs can ship them. We're curious which ones keep getting stuck in IT and AI Platform backlogs, and what makes them tough to ship. ⏱️ 2-minute survey:
forms.gle/ug3LBjmiVBg2a8…
If you work in IT, AI Platform, or Digital Transformation, we'd appreciate your input.
Jun 2
Many IT teams are facing the same challenge: How do you scale AI across the organization without losing governance, security, and control? 🔹 Restricting AI creates Shadow AI 🔹 Point solutions create fragmentation 🔹 Custom builds create bottlenecks that slow every new
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docs.google.com
You name it. We build it.
We're collecting the AI workflow requests business teams keep dropping in your backlog. The patterns that come up most often will guide what we build next as free, production-ready templates. If you...
6:00 PM · Jun 4, 2026
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