Claude、GPT、Gemini、Llama、DeepSeek、Qwen、Mistral 等 20+ 種主流大型語言模型,我們已經整合進平台系統,一套 AI 核心就能用。知識留在公司手上,不被單一模型綁架。 Claude, GPT, Gemini, Llama, DeepSeek, Qwen, Mistral, and 20+ other major LLMs are already integrated into a single platform. One AI core, ready to use. Your knowledge stays yours, and you're never locked into one model.
答案通常是:存在每個人自己開的 ChatGPT 視窗裡。那個人請假、離職、換城市,對話紀錄就跟著消失。MaiAgent 這套系統,做的事情很直白——把報價邏輯、產品規格、客訴處理方式,搬到公司自己的後台,模型隨時能換,但這些累積下來的判斷不會再跟著個人的帳號跑掉。 Usually, the answer is: in whoever's personal ChatGPT window happens to have it. When that person takes leave, quits, or relocates, the conversation history goes with them. What MaiAgent does is straightforward — move your pricing logic, product specs, and complaint-handling patterns into a system your company controls. Swap models whenever you want; the accumulated judgment no longer walks out the door with any one employee.
| 項目Item | 員工各自用外部 AIStaff Using External AI Individually | 科比智能建的 AI 系統A KOBE AI TECHNOLOGY System | |
|---|---|---|---|
| 人走了以後 | After Someone Leaves | 對話紀錄、判斷邏輯一起帶走Chat history and reasoning walk out with them | 留在公司系統裡,接手的人查得到Stays in the company system, retrievable by whoever takes over |
| 換模型的成本 | Cost of Switching Models | 要重新設定、重新訓練習慣Requires re-setup and re-training habits | 後台切換即可,Claude、GPT、Gemini、Llama、DeepSeek 等 20+ 種模型都已整合進系統Switch in the backend — Claude, GPT, Gemini, Llama, DeepSeek, and 20+ other models are already integrated |
| 語言支援 | Language Support | 多半只有英文,客戶用起來卡卡的Often English-only, awkward for local customers | 中文、英文雙語介面,服務直接對接海外市場客戶Bilingual Chinese/English interface, built to serve overseas-market customers directly |
同仁各自摸索不同工具,客戶資料、報價邏輯全都留在個人帳號裡,換人就斷線。Staff experiment with different tools on their own. Customer data and pricing logic live in personal accounts — and disappear when someone leaves.
原廠支援多半只有英文或單一語言,遇到問題常常要等好幾天才有人回,說明也不一定聽得懂。Vendor support is often English-only or single-language. Questions can take days to get answered, and explanations aren't always easy to follow.
LINE、WhatsApp、Telegram、FB、IG 都要顧,下班後、客戶訊息就沒人回。LINE, WhatsApp, Telegram, Facebook, Instagram — after hours, messages just pile up unanswered.
不管哪一種,前提都一樣:資料留在你自己的系統裡,中英文使用者都能無痛上手。Whichever one fits, the premise stays the same: your data stays in your own system, and both Chinese- and English-speaking users can pick it up without friction.
| 業務與報價加速Sales & Quote Acceleration | 雙語內部手冊Bilingual Internal Handbook | 海外客服窗口Overseas Customer Front Line | |
|---|---|---|---|
| 典型使用者Typical User | 業務、業務助理Sales reps and sales assistants | 剛入職、還在摸索流程的新人New hires still learning the ropes | 你在海外市場的終端客戶Your end customers in overseas markets |
| 目前卡在哪Current Bottleneck | 每次報價都要人工查資料、算半天Every quote means manually looking up data and doing the math from scratch | SOP 只存在老員工腦中,交接靠口耳相傳SOPs live only in veteran staff's heads, handed down by word of mouth | 當地語言的客服人力難找、難留Local-language support staff are hard to find and hard to keep |
| 導入後大概是這樣After Deployment, Roughly | AI 先把資料查好、報價算好,業務確認一下就能送出AI pulls the data and drafts the quote — sales just reviews and sends | 新人自己問系統就有答案,附出處可查證New hires get sourced answers straight from the system, no need to interrupt a senior colleague | 當地語言全天候有人(AI)回覆,人力只處理真正需要判斷的案子Local-language coverage runs around the clock, freeing your team for cases that actually need judgment |
根據 MaiAgent 官方公開資料,平台已服務 100+ 企業,橫跨金融、電信、製造、品牌、醫療、公部門與學校,AI 回答準確度達 95%,並通過 ISO/IEC 27001:2022(資訊安全)與 ISO/IEC 27701:2019(隱私管理)雙認證。科比智能是 MaiAgent 授權經銷夥伴,把同一套原廠平台帶到海外市場。 According to MaiAgent's official published figures, the platform has served 100+ enterprises across finance, telecom, manufacturing, consumer brands, healthcare, the public sector, and education, with a 95% answer-accuracy rate and dual certification under ISO/IEC 27001:2022 (information security) and ISO/IEC 27701:2019 (privacy management). KOBE AI TECHNOLOGY is an authorized MaiAgent reseller, bringing the same original platform to overseas markets.
*此處預留客戶 Logo 展示區,待取得個別企業品牌使用授權後補上實際案例。*Client logo placements reserved here, to be added once individual brand-usage authorization is confirmed.
你的帳號跟別家公司的資料是徹底分開的,也不會被拿去餵養任何模型的訓練資料。平台通過 ISO/IEC 27001 資安與 ISO/IEC 27701 隱私雙認證,在意資安等級的話,雲端、私有雲、地端三種都能選。Your account is kept fully separate from other customers', and nothing you input is used to train any model. The platform holds dual ISO/IEC 27001 (security) and ISO/IEC 27701 (privacy) certification. If security level matters to you, cloud, private cloud, and on-prem are all on the table.
後台是拖拉式操作,不需要工程背景。建議先小規模測試,看到成效再擴大應用範圍。The backend is drag-and-drop, no engineering background required. We'd suggest testing small first, then expanding once it proves out.
從盤點需求到上線維護,都是同一組中英雙語顧問跟著你,不會換手到你不認識的人。系統裡也內建了 Ask AI 小幫手,操作上有任何問題都能隨時直接問,不用等顧問回覆。The same bilingual team stays with you from scoping through ongoing maintenance — you won't get handed off to a stranger. The system also has a built-in Ask AI assistant, so you can get answers to operational questions instantly, without waiting on a consultant.
| 雲端訂閱Cloud Subscription | 私有雲Private Cloud | 地端機房On-Premise | |
|---|---|---|---|
| 誰管理主機Who Manages the Server | 原廠代管Managed by the vendor | 你們自己的雲端帳號(AWS、Azure)Your own cloud account (AWS, Azure) | 你們公司自己的機房Your own on-site data center |
| 大概多快能用Roughly How Soon | 通常一週內Usually within a week | 視你們雲端環境設定而定Depends on your existing cloud setup | 要看現場硬體到位的時間Depends on when on-site hardware is ready |
| 比較常被誰選Commonly Chosen By | 大部分中小企業Most SMEs | 已經有雲端團隊、對資安有一定要求的公司Companies with an existing cloud team and moderate security needs | 金融、醫療、政府這類法規要求嚴格的產業Finance, healthcare, government — heavily regulated sectors |
聊聊你的業務、團隊怎麼運作、現在卡在哪裡,再依這些準備一場針對你的情境展示。We start by understanding your business, how your team works, and where things currently get stuck — then prepare a walkthrough built around that.
建議先選一個部門或一個應用場景實際跑一段時間,確定符合預期,再談規模跟報價,不用一開始就整間公司壓上去。We'd suggest piloting with one department or use case first, confirming it delivers before talking scale and pricing — no need to commit the whole company upfront.
試跑滿意、正式簽約後,中英雙語顧問陪你把系統擴大到其他部門或應用場景。Once you're satisfied and sign on, bilingual consultants help you expand the setup to other departments or use cases.
不會,你的帳號跟其他客戶完全隔開,也不會進入任何模型的訓練資料。如果公司對這件事特別敏感,可以直接選私有雲或地端部署,資料完全不出你自己的環境。No — your account is kept completely separate from other customers, and none of it enters any model's training data. If this is a sensitive point for your company, private cloud or on-premise deployment keeps everything inside your own environment.
不用。系統本身就接得上官網、LINE、WhatsApp、Microsoft Teams、Messenger、Instagram、Telegram、Email 等渠道,另外也有 API 跟 Webhook 可以串內部系統,AI 是加進你現有的客服流程,不是叫你砍掉重練。No need. The system already plugs into channels including website, LINE, WhatsApp, Microsoft Teams, Messenger, Instagram, Telegram, and Email, plus API and webhook connections for internal systems. AI slots into your existing support flow rather than replacing it.
不會,我們提供中英雙語服務,導入期間可以直接用你熟悉的語言溝通,不用擔心聽不懂或說不清楚。No — we offer bilingual service in Chinese and English, so onboarding happens directly in whichever language you're comfortable with.
每個回答都會附上是從哪份文件、哪一段找到的依據,你可以自己核對。真的答錯的話,後台看得到當時的對話紀錄跟判斷過程,通常調整一下知識庫的內容就能修正,不用整套重來。Every answer comes with a citation showing which document and section it drew from, so you can verify it yourself. If it does get something wrong, the backend shows the conversation and reasoning trail — usually a knowledge-base tweak fixes it, no full rebuild needed.
可以,我們一般會建議先在一個部門或一個應用場景跑一段時間,確定有用之後才談規模跟報價,費用是照實際使用範圍算,不會一開始就要求整間公司簽下去。Yes — we typically suggest piloting with one department or use case first, then discuss scale and pricing once it's proven out. Cost is based on actual usage scope, not a company-wide commitment from day one.
留下聯絡方式,我們會在 1-2 個工作天內親自跟你聯絡,用你們公司的真實情境跑一次 Demo。 Leave your details and we'll personally reach out within 1–2 business days to run a demo based on your real business context.