How is an AI Agent different from a chatbot?
Chatbots mostly reply in conversation. Agents can call queries, create drafts, or run flows under rules—but enterprise scenarios should still limit tools and permissions.
AI Agent
Enterprise AI Agent Development
Agents are one of our services—not the site’s only pitch. We build workflows that query designated data, call allowed tools, and pause for human confirmation on critical steps.
適合解決的問題
- ・Want an internal assistant that answers policy questions and surfaces documents.
- ・Want support draft replies, but a human must review before sending.
- ・Want the Agent to look up orders or CRM—not decide refunds on its own.
可以包含什麼
- ・Support and document Agents
- ・Data lookup and internal assistants
- ・Tool / function calling
- ・Permission checks, human confirmation, and operation logs
怎麼做
Decide
The model only proposes the next recommended step.
Tools
Query data or draft content through allowed functions.
Execute
When permissions are insufficient or risk is high, switch to human confirmation and write an audit log.
適合誰、時間與費用
- ・Companies with APIs or knowledge bases that want a conversational entry point
- ・Operations teams that need an internal query assistant
時程：A first Agent on existing APIs / knowledge bases commonly takes 4–12 weeks.
費用：Scoped by number of tools, permissions, and whether a knowledge base is included—can start with a PoC.
正式價格於需求確認後提供，以上為參考。
我們不會直接承諾的事
- ・We don’t build “fully autonomous Agents that can decide every company action.”
- ・We don’t package Agents as another ChatGPT.
相關案例
- Leaf AI Workspace 企業 AI 助理
Leaf AI Workspace（leafflow-ai.vercel.app）：企業文件 RAG 問答、白名單工具查專案／帳款，以及通知前人工確認的公開示範。
常見問題
Have a similar system need?
Share your current workflow, existing systems, or the problem you want to solve. We first check technical fit, then decide on a PoC or a formal quote.
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