會議錄音自動變 minutes：做法、準確度同私隱注意事項

簡單答：做得到。開完會將錄音放入指定 folder，AI 會將語音轉做文字，再整理成會議紀錄：討論重點、決定咗咩、邊個負責跟進、幾時要做好。AI 唔係逐字百分百準，所以要有人睇一次先發出。會議錄音有參加者嘅聲音同講話內容，可能涉及個人資料，開始之前要諗清楚收集、保留同保安。單一流程 HK$5,000 起，簡單項目最快 2 日交付。

成個流程點做

1. 錄音：用手機、會議室咪或者網上會議軟件錄低，開會前通知參加者會錄音同用途。
2. 轉文字：錄音放入指定 folder，語音轉文字服務將內容轉成逐字稿。
3. 整理：AI 按你公司嘅格式整理成會議紀錄：出席者、議程、討論重點、決定、跟進事項同負責人。
4. 核對同發出：負責同事睇一次、改正錯處，確認後先發俾參加者或者存入共用 folder。
5. 跟進：跟進事項可以同時寫入 Google Sheets 或者你現有嘅工作清單，唔使再人手抄。

準唔準？邊啲情況最易出錯

單一個人清楚講嘢，轉文字一般幾準。以下情況最易出錯：

• 粵英夾雜：香港開會好多時一句入面有中有英，專有名詞同英文縮寫容易轉錯。
• 多人同時講：搶住講或者插嘴，轉文字分唔清邊句係邊個講。
• 收音差：離咪遠、冷氣聲、網上會議斷斷續續。
• 行內術語同人名：公司產品名、客戶名、同事花名，AI 冇聽過就會估。

AI 整理成紀錄嗰一步亦可能出錯：將「考慮緊」寫成「決定咗」，或者漏咗某個跟進人。所以我哋設計流程時會：預先俾 AI 一份常用名詞同人名清單；決定同跟進事項附返錄音時間點，方便核對；最後一定由人確認先發出。做之前會先量度你而家寫一份 minutes 要幾耐（baseline），之後先知道實際慳返幾多。

私隱注意事項

香港《個人資料（私隱）條例》有六項保障資料原則。根據私隱專員公署資料，同會議錄音最有關係嘅係以下幾項：

• 收集（第 1 原則）：收集個人資料要有合法而且同業務直接相關嘅目的，唔可以超乎適度；直接收集時要通知當事人用途。實際做法：開會前講明會錄音、用嚟做咩。
• 保留（第 2 原則）：資料唔應該保留超過達到目的所需嘅時間。實際做法：定好錄音同逐字稿保留幾耐，例如 minutes 確認後刪除錄音。
• 使用（第 3 原則）：未得當事人訂明同意，唔可以將資料用於新目的。實際做法：錄音只用嚟寫會議紀錄，唔好之後拎去做其他用途。
• 保安（第 4 原則）：要採取切實可行嘅步驟，保障資料唔會未經准許被查閱、處理、刪除、遺失或使用；交俾外判處理時，要用合約或其他方法保障資料。實際做法：揀清楚語音轉文字同 AI 服務嘅資料存喺邊、會唔會用嚟訓練模型，限制邊個睇到錄音。

私隱專員公署亦喺 2025 年 3 月發佈《僱員使用生成式 AI 的指引清單》，建議機構訂明可以用邊啲 AI 工具、可以輸入咩資料、輸出點樣保存同使用，同埋由同事核對 AI 輸出嘅準確性。如果同事各自將會議錄音上載去唔同嘅免費工具，就好難做到上面幾點。

我哋做每個項目之前，都會先寫低資料存喺邊、去邊、保留幾耐，同你確認先開工。

要幾錢

• 單一流程：HK$5,000 起，最快 2 日。例如「錄音放入 folder → 自動出會議紀錄草稿」。
• 多流程：HK$15,000 起，約 2–3 星期。例如會議紀錄之外，再加收據入數或者報價跟單，接駁 email、雲端硬碟同現有系統，包同事培訓 1 次。
• 使用費：語音轉文字同 AI 通常按用量收費，會議越長越多，每月成本越高。報價時我哋會按你每月會議數量同長度估算。

更詳細嘅費用拆解，可以睇《香港中小企 AI 自動化要幾錢？》；想由收據入數開始，可以睇《收據影相自動入數》。

自己做最常卡喺邊？

• 粵英夾雜嘅會議，轉出嚟嘅文字錯得太多，改嘅時間同自己寫差唔多
• 唔知免費工具將錄音存喺邊、會唔會拎去訓練模型
• 每個同事用唔同工具，紀錄格式唔統一，跟進事項散晒
• 錄音一直留喺手機同雲端，冇人負責刪除

以上任何一樣卡住咗，都可以搵我哋。簽約前免費諮詢，我哋會直接話你知要做乜、大概幾錢。

我哋可以點幫你

MuduoPro 嘅 AI 流程自動化由一條最煩嘅流程做起：單一流程 HK$5,000 起，最快 2 日交付；多流程 HK$15,000 起。做之前先量度 baseline，資料存喺邊、去邊、保留幾耐都會先寫清楚；交付包原始碼、文件同交接。如果想 AI 喺你自己嘅環境運行、資料唔上雲端，可以睇 AI 工具／程式開發。所有套餐可以睇套餐同價錢，或者直接同我哋傾一次，簽約前免費諮詢。

資料來源（截至 2026 年 10 月）：個人資料私隱專員公署《保障資料原則》、《僱員使用生成式 AI 的指引清單》新聞稿（2025 年 3 月 31 日）。本文唔係法律意見，實際做法請向法律顧問確認。

Turning meeting recordings into minutes automatically: how it works, accuracy and privacy

The short answer: yes, it can be done. After a meeting, drop the recording into a set folder and AI turns the speech into text, then organises it into minutes: key points, what was decided, who follows up and by when. AI is not 100% accurate word for word, so a person should check the minutes before they go out. Meeting recordings contain participants' voices and what they said, which may involve personal data, so think through collection, retention and security before you start. A single workflow starts from HK$5,000, with simple projects delivered in as little as 2 days.

How the workflow runs

1. Record: use a phone, a meeting-room microphone or your video-call software, and tell participants before the meeting that it will be recorded and why.
2. Transcribe: the recording goes into a set folder, and a speech-to-text service produces a transcript.
3. Organise: AI arranges it in your company's format: attendees, agenda, key points, decisions, action items and owners.
4. Check and send: the responsible colleague reads it once and corrects mistakes; only then is it sent to participants or saved to a shared folder.
5. Follow up: action items can also be written into Google Sheets or your existing task list, so nobody has to copy them by hand.

How accurate is it, and where does it go wrong?

When one person speaks clearly, transcription is generally quite accurate. Mistakes are most likely with:

• Mixed Cantonese and English: Hong Kong meetings often switch languages mid-sentence, and product names and English abbreviations are easily mis-transcribed.
• People talking over each other: interruptions make it hard to tell who said what.
• Poor audio: sitting far from the microphone, air-conditioning noise, choppy video calls.
• Jargon and names: product names, client names and colleagues' nicknames the AI has never heard, so it guesses.

The step where AI writes up the minutes can also go wrong: recording "we are considering" as "we decided", or missing an owner for an action item. So when we design the workflow, we give the AI a list of common terms and names in advance, link decisions and action items to timestamps in the recording for easy checking, and always have a person confirm before anything is sent. Before starting we measure how long a set of minutes takes now (the baseline), so you can see exactly what was saved.

Privacy points to watch

Hong Kong's Personal Data (Privacy) Ordinance has six Data Protection Principles. According to the Office of the Privacy Commissioner for Personal Data (PCPD), these are the most relevant to meeting recordings:

• Collection (DPP1): personal data must be collected for a lawful purpose directly related to your functions and must not be excessive; when collecting directly, tell the individuals the purpose. In practice: say before the meeting that it will be recorded and what for.
• Retention (DPP2): data should not be kept longer than necessary for its purpose. In practice: decide how long recordings and transcripts are kept, for example deleting the recording once the minutes are confirmed.
• Use (DPP3): data must not be used for a new purpose without the individual's prescribed consent. In practice: use the recording only for the minutes, not for something else later.
• Security (DPP4): take practicable steps to protect data against unauthorised or accidental access, processing, erasure, loss or use; when a processor handles it, protect it by contract or other means. In practice: check where your transcription and AI services store data and whether they use it to train models, and limit who can access recordings.

In March 2025 the PCPD also published a Checklist on Guidelines for the Use of Generative AI by Employees. It recommends that organisations specify which AI tools may be used, what information may be entered, how outputs are stored and used, and that staff verify the accuracy of AI outputs. If each colleague uploads meeting recordings to a different free tool, none of this is easy to achieve.

Before every project, we write down where data is stored, where it goes and how long it is kept, and confirm it with you before work starts.

What it costs

• Single workflow: from HK$5,000, in as little as 2 days. For example, "recording into a folder → draft minutes produced automatically".
• Multiple workflows: from HK$15,000, about 2–3 weeks. For example, minutes plus receipt entry or quote follow-up, connecting email, cloud drives and existing systems, with one staff training session.
• Usage fees: speech-to-text and AI are usually charged by usage, so longer and more frequent meetings cost more each month. We estimate it from your monthly number and length of meetings when quoting.

For a fuller cost breakdown, see How much does AI automation cost for Hong Kong SMEs?. To start with receipts instead, see Turning receipt photos into accounts automatically.

Where do people usually get stuck?

• Transcripts of mixed Cantonese and English meetings have so many errors that fixing them takes as long as writing from scratch
• Not knowing where a free tool stores recordings, or whether it uses them to train models
• Every colleague uses a different tool, so minutes are inconsistent and action items are scattered
• Recordings stay on phones and in the cloud indefinitely, with nobody responsible for deleting them

If any of these is where you are stuck, talk to us. Consultation before signing is free, and we will tell you plainly what needs doing and roughly what it costs.

How we can help

MuduoPro's AI workflow automation starts with your single most repetitive workflow: single workflows from HK$5,000, delivered in as little as 2 days; multiple workflows from HK$15,000. We measure the baseline first and write down where data is stored, where it goes and how long it is kept; delivery includes source code, documentation and handover. If you want AI to run in your own environment so data stays off the cloud, see AI tools and software. See all packages and pricing, or talk to us: consultation before signing is free.

Sources (as of October 2026): Office of the Privacy Commissioner for Personal Data, Six Data Protection Principles and the press release on the Checklist on Guidelines for the Use of Generative AI by Employees (31 March 2025). This article is not legal advice; please confirm your arrangements with a legal adviser.