Why does AI customer service keep missing the point?
The technical reasons behind hallucination, and how RAG fixes it. 8-min read.
Open any off-the-shelf AI support bot and ask, "What's your return process?"— it will make up an answer that sounds reasonable, butit isn't your company's actual process; it's just the statistically most likely reply.
Our AI works differently. We take your website, product manuals, SOPs, support logs, and past FAQs, and read all of it into a custom knowledge base,training an AI that knows only your company。
It doesn't know everything in the universe. It knows your business.
Your website, product descriptions, internal SOPs, and past support conversations all go into a vector knowledge base. Ask it "What's the difference between our Plan A and Plan B?" and it can answer,because it has read them. It's not AI improvising; it answers based on the real material you provided.
No bland, play-it-safe AI pleasantries. We design a distinct tone, vocabulary, stance, and even list of taboos for every client. Replies that read like you wrote them yourself, not a template。
Answers handled by a human can be reviewed and added back to the knowledge base, so it can answer them next time. That only happens when someone maintains it; it isn't automatic— so we write into the contract who maintains the knowledge base and how often, rather than promising it'll know more than a new hire a year from now.
LINE, Telegram, website chat, email: the same AI on duty everywhere, with one knowledge base and one personality. Customers never get conflicting answers on different channels.
When it's unsure, it says "I'll need to bring in a person to help with this," instead of inventing an answer that sounds reasonable but is wrong— the single biggest problem with most AI support bots on the market, and where brand trust starts to collapse.
We come from advertising and game development,
so we know a single sentence can ruin a brand.
That's why our AI isn't an all-purpose assistant.
It's a professional colleague focused solely on your brand。
No competitor stands in all four of these positions at once.
Xiao Ai will pop up in the bottom-right corner. Click to start chatting. The scenarios below cover the skills an AI colleague we build for clients should have.
Click any question below Try this oneNot every business needs a website. Putting an AI colleague on a LINE business account works the same as putting it on a website.
And even if you have a website, if your customers all reach you on LINE—reservations, quotes, bookings, support— LINE is your real front desk。
They have a website, but almost every visitor comes in through LINE —asking about bikes, booking time slots, paying, and confirming, all inside the LINE chat. The website is just for people who haven't added them on LINE to get a feel for the brand; LINE is the real front desk.
/admin/ view orders, update statuses, and review KB gaps.
Running in production, 24 hours a day— Minus eBike ↗
有什麼車?租一天多少?"—unlike the demo you've seen, this is aLINE account running a real business, not a sandbox.We're not arguing about who has better features; we're acknowledging that we and typical AI support SaaS are two different models. You'll see which side you belong on.
| Dimension | Typical AI support SaaS | Satsuma AI Colleague |
|---|---|---|
| Business model | Software subscription | Custom creative service |
| Best for | Generic, standardized companies | Mid-sized brands with a distinct personality |
| Setup | You upload your own FAQs | We interview you and build the knowledge base |
| AI source | Packaged general-purpose LLM | Dedicated vector knowledge base |
| When it doesn't know | Usually makes things up | Says "I'll bring in a person to help" |
| Traceable answers | ❌ | ✅ Cited sources |
| Long-term growth | Stuck at day-one level | More accurate over time with maintenance |
| Marketing integration | You integrate it yourself | Marketing is what we already do |
| Starting price | From NT$3,000/month | Setup from NT$50,000 Maintenance NT$1,000–3,000/month, optional, no lock-in |
| Buying mindset | "Install a tool" | "Hire a colleague" |
An AI colleague on LINE is our LINE AI customer service. One starting price; scope is quoted after the brief.
Multi-channel (Instagram, Facebook, Telegram), multilingual, and CRM or system integrations are priced by scope · 30-minute brief is free
8 perspectives and case studies on AI colleagues, AI customer service, RAG, and integrated marketing.
The technical reasons behind hallucination, and how RAG fixes it. 8-min read.
Vectors, chunking, retrieval, reranking—from principles to engineering pitfalls. 10-min read.
Three anchor questions to help you decide which side to choose. 10-min read.
Dashboard numbers from Xiao Ai's first month live on Satsuma's site, plus 3 unexpected lessons. 9-min read.
5 structural problems with the SaaS model, and why they can't be fixed. 11-min read.
Three-tier plans, hidden costs, and ROI, all laid out. 12-min read.
5 real cases plus a breakdown of the technical causes. 10-min read.
The natural next step for integrated marketing, and why the last mile of the funnel needs to be custom. 9-min read.
What you need isn't another tool,
it's an AI colleague that belongs only to your company.