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AI GO
By function

AI for Customer Service

LINE, Instagram, your Facebook page and the website form all arrive separately, so agents keep four windows open. AI GO brings every channel into one inbox and lets AI answer the repeats, so people handle what actually needs a person.

4-in-1
LINE, IG, Facebook and web in one place
24/7
common questions answered automatically
Your key
AI runs on your own OpenAI account

What you are probably dealing with

A separate window per channel

LINE Official Account, Instagram, the Facebook page, the website form into an inbox. Agents switch between four interfaces, and a missed message is only a matter of time.

The same question answered a hundred times

Opening hours, shipping cost, the returns policy — most of the volume is the same handful of questions, all of it consuming agent time while genuinely complex cases wait in line.

Handover happens verbally

What a customer asked last week and what someone promised them lives inside individual chat windows. Change shift or change agent and the customer explains it all again.

The knowledge base ends up somewhere else

Teams want AI support but hesitate to push product data and pricing logic into an external service for training. Security review stalls the project.

Before and after

Before

  1. 1Four platform dashboards checked in rotation
  2. 2Common questions answered one by one by people
  3. 3Customer history scattered across chat windows
  4. 4Cross-team issues escalated by pinging someone in a group chat
  5. 5Service quality depends on individual memory

With AI GO

  1. 1Every channel flows into one contact centre
  2. 2AI answers common questions from your knowledge base
  3. 3Customer history is consolidated and visible on handover
  4. 4Cross-team work becomes a tracked ticket
  5. 5Response content and time are measurable

Modules involved

Start with a single channel if you prefer — once it runs smoothly, bring the rest and the ticket workflow in.

多渠道智能客服

全渠道客服整合模板。統一管理 LINE OA、Instagram、Facebook 粉專等多來源訊息，搭配 AI 智能客服自動回覆。AI 使用租戶自備的 OpenAI 金鑰（不消耗平台 AI 額度），知識庫存放於租戶自己的 OpenAI 帳號。

Messaging

LINE OA 訊息管理中心

LINE 官方帳號的訊息管理與智慧回覆中心：Webhook 進件、好友與對話一站管理、關鍵字自動回覆與營業時間值班規則、AI 建議／自動回覆（租戶自備 OpenAI 金鑰）、知識庫語意檢索、標籤分眾與群發推播。好友、對話與訊息全部落在 AI GO 內建聯繫中心資料表，僅知識庫、自動回覆規則與群發紀錄為本模板自建。

Messaging

AI 客服管理中台

以 AI GO 內建聯繫中心為底的客服管理中台：LINE／Facebook／Instagram 等多來源訊息統一收件匣、依規則自動派工與開單、客戶 360（訂單／出貨／收款／發票／產品一次看齊）、訂單備註留痕、結案滿意度（CSAT）指標與知識庫沉澱。工單、對話、派工單、客戶與訂單全部落在 AI GO 既有資料表，僅知識庫與派工規則為本模板自建。

CRM

通用 · IT 服務台

IT 服務台雙介面：員工前台線上報修與查進度，IT 後台以拖曳看板派工，並管理硬體資產、軟體授權、機房巡檢與廠商進出。全部資料落在 AI GO 既有的專案／人資／資產模組，不建自訂表。

Operations
Browse all modules

Platform capabilities

Every channel, one inbox

LINE Official Account, Instagram and Facebook pages feed into one contact centre, which shows the real official-account name so you always know which account a customer came from.

The knowledge base stays in your account

AI replies run on your own OpenAI key. The knowledge base sits in your OpenAI account, consumes no platform AI quota, and your data does not land with a third party.

AI first, people for the hard ones

Routine questions are answered from your knowledge base. Anything the AI cannot handle is passed to a person along with the conversation so far.

Enquiries become tickets, not lost threads

Anything needing another team becomes a ticket with an owner, a status and a deadline — no more shouting into a group chat.

Labour cost you can recover

For a three-person support team at an average loaded rate of NT$280/hour, here is the monthly labour cost you can recover:

Answering repeat questions

Roughly 60% of original volume

Hours / month
72 hrs
Hourly rate
NT$ 280
Recovered / month
NT$ 20,160

Switching between channels and searching

Hours / month
30 hrs
Hourly rate
NT$ 280
Recovered / month
NT$ 8,400

Handover and history reconstruction

Hours / month
18 hrs
Hourly rate
NT$ 280
Recovered / month
NT$ 5,040

Cross-team coordination and chasing

Hours / month
20 hrs
Hourly rate
NT$ 350
Recovered / month
NT$ 7,000
TotalNT$ 40,600

These figures assume a typical staffing profile. Real numbers depend on your team size and process — we rerun the model with your own data during a consult.

FAQ

What if the AI gets it wrong?
Replies come from the knowledge base you build, not from thin air. When confidence is low it hands over rather than guessing. Every AI reply is logged and reviewable, so a poor answer becomes a knowledge-base fix. You can also mark topics the AI must never answer.
Will this run up a large AI bill?
AI replies use your own OpenAI key, so usage bills to your OpenAI account and consumes no platform quota. You can see and control the spend directly.
Could customer conversations leak?
The knowledge base lives in your OpenAI account, not ours. On the platform side, who can read which conversations and who exported what is controlled and logged.
Can we start with LINE only?
Yes. LINE service management is its own module — connect the Official Account, get it running, then decide whether to extend to Instagram, Facebook and web forms. Channel-by-channel adoption is the common path.

Further reading

企業 AI 導入

台灣中小企業找 FDE 實戰指南：30 天 AI 落地不是夢

你聽說了 FDE 前線部署工程師，但不知道怎麼找、費用多少、能做什麼？本文用台灣真實案例說明，FDE 如何幫中小企業在 30 天內完成 AI 導入。

企業 AI 導入

FDE、傳統顧問、IT 部門：台灣企業 AI 導入該選哪個？

台灣企業導入 AI 有三條路：找傳統管理顧問、靠自己的 IT 部門、或引入 FDE 前線部署工程師。三者差異是什麼？哪種適合你的公司？

企業 AI 導入

FDE 是什麼？前線部署工程師完整指南（2026 台灣版）

FDE（Forward Deployed Engineer，前線部署工程師）是目前台灣最熱門的 AI 職缺，比 AI 科學家還搶手。本文從零解釋 FDE 是什麼、做什麼、為什麼台灣企業現在最需要他。

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Want to see this run on your own process?

Leave your details and an FDE will walk it through with your data.

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