問題
第一線外勤工作已經夠艱難，文件記錄不應讓它更加困難。
家庭服務與公共部門外勤工作流程中的團隊，每天都要處理敏感且有時效性的對話，但文件記錄仍必須及時、準確並可供審核。
外勤工作很複雜
一次訪視可能涉及多人、敏感細節，以及在快速變化情境中的後續行動。
文件記錄跟著工作人員回家
筆記經常被推遲到晚上，讓文書工作成為持續的疲勞與積壓壓力來源。
延遲記錄會削弱筆記
數小時後更難回想重要細節，使初步記錄更不完整，也讓主管審核變慢。
更好的文件支援不只是節省時間，也能協助第一線工作人員專注當下、改善初步記錄，並減少一天結束後重建對話的負擔。
解決方案
介紹 TransAI Note
全球首款裝置端 AI 會議記錄工具，專為重視隱私的文件記錄工作流程打造。
以本機轉錄與摘要工作流程為核心打造。
專為需要比以雲端為主的筆記工作流程更高掌控力的團隊而設計。
不是另一個軟體分頁，而是專為敏感外勤文件記錄打造的專注裝置。
為什麼重要
TransAI Note 協助團隊更順暢地將對話轉化為可用筆記。
更早擷取
更接近細節最鮮明的時刻。
減少重建工作
減少深夜重建筆記的負擔。
Review faster
Create stronger first-pass summaries for supervisors.
Document better
Shorten the path from field visit to file-ready notes.
Product walkthrough
See how TransAI Note works.
A short walkthrough of TransAI Note in a privacy-sensitive documentation workflow.
视频
Workflow
From field visit to file-ready notes.
A simpler path from sensitive conversation to usable documentation.
Capture
Capture details during or immediately after the visit.
Structure
Transcribe and organize notes on-device.
評論
Keep human validation central to the workflow.
Finalize
Prepare documentation for official agency record workflows.
Why it fits
Built for public-sector documentation work.
TransAI Note is not just another AI note app. It is designed for privacy-sensitive, high-frequency, human-reviewed documentation workflows.
敏感對話
Better fit for family-facing and privacy-sensitive workflows than generic office meeting tools.
High documentation frequency
Supports teams where note-writing happens repeatedly and under pressure.
Human-in-the-loop review
AI drafts. Humans validate. Agencies finalize.
FAQ
Questions agencies may ask
Three common questions when comparing TransAI Note with generic AI note tools and cloud-first workflows.
Why use an on-device AI device instead of a cloud-based AI note tool?
TransAI Note is built around local, privacy-first workflows for teams that want more control over sensitive documentation.
Why use dedicated hardware instead of another software tool?
TransAI Note is designed as a focused documentation device for high-frequency field workflows, rather than another tab in an already crowded stack.
What makes it a better fit for public-sector field teams?
It is designed for sensitive conversations, strong privacy expectations, first-pass note quality, and human-reviewed documentation workflows.
