The Hard Truth About AI in the Workplace
Slapping a chatbot into your company Slack isn’t “AI adoption.” Too many businesses make these mistakes:
- AI becomes just another tab employees forget to open.
- Models improve, but answers stay generic — no deep alignment with actual work.
- Information chaos persists because AI isn’t wired into daily workflows.
The root issue? AI is often bolted on, not built in.
Feishu’s Fix: AI That Works Where You Work
Enter Feishu (Lark) Knowledge Q&A, launched today. It’s not another chatbot—it’s an AI teammate embedded directly into Feishu’s interface, pulling from:
- Company docs, messages, files (permission-aware)
- Custom uploads
- Real-time web searches
- LLM knowledge (DeepSeek-R1, Doubao, etc.)
How it’s different:
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Role-aware answers: Ask “How much does Feishu spend on airport ads?” and the CEO gets a dollar figure, while a junior employee gets a “You don’t have access to this” message.
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Zero switching: No new tabs, no “prompt engineering” required — just ask while drafting a doc or in a meeting chat.
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RAG-powered precision: Retrieval-Augmented Generation ensures answers leverage internal knowledge first, not just generic model hallucinations.
Why This Works When Other AI Tools Fail
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It’s invisible: No “AI button” — just part of Feishu’s left sidebar.
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It scales with data: The more a company uses Feishu (messages, docs, projects), the sharper answers get.
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It’s workflow-native: Need to summarize a meeting? Draft a report? The AI is already where the work happens.
The Bigger Shift: From “Knowledge Storage” to “Knowledge Activation”
Traditional knowledge management = filing cabinets full of unused PDFs. AI-era knowledge management = information that’s alive, queryable, and context-aware.
Feishu’s move signals what’s next: AI won’t transform work until it stops being a “tool” and starts being the oxygen in your workflow.
Try it: Feishu (Lark) Knowledge Q&A is live now on web/app. Reality check: New Feishu users will see weaker results—this AI thrives on your company’s historical data.
Thoughts? Is your company’s AI actually helping—or just collecting dust?