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KakaoTalk CS Automation

KakaoTalk Customer Service Automation
the chatbot takes the questions, alerts handle the notices

Price and inventory questions, after-hours inquiries, call-log cleanup — one person spending 40 minutes a day, 5 days a week on repeat inquiries costs about ₩3.12M a year (estimated at ₩18,000/hour). Automation recovers about ₩1.4M a year on average across similar work, and the build runs ₩6.9M–₩12M (pilot ₩4.9M). Booking, order, and payment notices go out as alert messages; only the complicated questions reach a person.

무료 진단 신청Ask for a quote

Tell us your most common inquiries and we will assess whether they're automatable for free, in writing. No obligation to proceed.

The assistant in the bottom-right corner of this page is live — try asking it something off the wall. The same core is what we build for you. Replay the logs
Package

What's included

AI assistant on KakaoTalk

A conversational assistant connected to your KakaoTalk channel. It answers from your documents and FAQ, and hands off to a person instead of making something up when it doesn't know.

  • Starts with just your documents and FAQ uploaded
  • Answers show their source — nothing invented
  • Also works as a website widget

Automated alert messages

Structured notices — booking confirmations, payment notices, reminders — sent automatically at the right moment. Phone calls and manual reminders go away.

  • Automated sends triggered by booking, order, and payment events
  • We draft and review the templates for you
  • Send history recorded automatically

Handoff to a human agent

Inquiries the AI isn't confident about are routed to a person automatically. Customers never hit a dead end, and staff only see the hard questions.

  • Confidence gate — if it doesn't know, it hands off
  • An automatic summary of the inquiry is sent along
  • All handling history in one screen

Admin console

A management screen for non-developers ships with it. Fix a wrong answer on the spot; upload a new document and it takes effect immediately.

  • Review conversation logs and unanswered questions
  • Uploading knowledge retrains it immediately
  • Monthly quality report
Recorded

Replay of our assistant's logs

Real questions our site assistant received in July and August 2026, and what it did with them (Korean conversation). We replay the documents the bot retrieved and each processing step. The assistant at the bottom right of this page runs on the same structure.

When it has a source: it answers from documents

2026-08-25 · ai.sgkstudio.co.kr
카카오 채널로 응대하는 방식도 가능한가요?Can it also handle inquiries through a KakaoTalk channel?

Knowledge searchTop score 16.92 (threshold 3.0 or above)

DecisionAnswer

Source excerpt · AI chatbot and assistant builds홈페이지·카카오톡·이메일 등 여러 채널의 문의를 하나의 AI가 통합 응대하고, 복잡한 문의는 사람에게 에스컬레이션합니다.One AI handles inquiries from multiple channels such as the website, KakaoTalk and email, and escalates complex ones to a person.

Answer written within this document · 2.6 s

We did not store the reply text itself, so we show the source document the assistant was given.

When it has no source: it hands off to a person

2026-07-19 · sgkstudio.co.kr
회사가 어디에 있어요?Where is your company located?

Knowledge searchTop score 2.80 (below threshold 3.0)

DecisionSkip AI answer · 0 model calls

Assistant message제가 정확히 답변드릴 수 있는 범위를 벗어난 질문이에요. 놓치는 부분 없이 안내드리도록, contact@sgkstudio.co.kr 로 문의 남겨 주시면 확인 후 답변드리겠습니다.This question is outside what I can answer accurately. Please email contact@sgkstudio.co.kr and we will reply after checking.

Handed to a person · 1 ms

Without a source it does not make things up. The message above was a fixed sentence in the code at the time.

Recomputing the logged scores with the code and documents of that day gives the same values to two decimal places. Assistants we build for clients use the same structure: source search, a confidence threshold and a human handoff.

Scenarios

This is the kind of work it automates

Every industry has a different set of repeat questions and notices. The same structure applies even if your industry isn't listed below — the free assessment sorts it out from your actual workload.

Online retail / e-commerce

"When will it ship?", "How do I exchange or return this?" — the same questions, the same answers, every day. The chatbot takes order and shipping questions, and an alert message goes out the moment something ships.

Academies / education

Enrollment questions, schedules, and tuition come up on repeat, and calls about payment dates and makeup classes eat into the day. The chatbot handles inquiries, alerts handle the notices.

Clinics

Calls pile up over hours, parking, and what to bring for a test. Booking confirmations and pre-visit instructions go out automatically as alerts, and the chatbot handles first-line questions.

Lodging / guesthouses

A booking confirmation goes out the moment someone books, and what-to-bring and directions go out automatically the day before check-in. Questions like "do you allow barbecues?" go to the chatbot.

Franchise headquarters

Franchise inquiries and the same store-level questions all land on headquarters staff. The chatbot handles the common answers; only real consultations reach a person.

Manufacturing / wholesale

The same pricing, inventory, and lead-time questions come from trade partners over and over. The chatbot handles first-line questions on a partner channel, and only quote requests reach a person.

Standard

A production system, not a demo

  • Confidence gate — if the answer isn't in the source documents, it doesn't make one up; it hands off with "let me check and get back to you." Try asking the assistant in the bottom-right corner something outside its knowledge base and see how it handles it.
  • Quantified acceptance — acceptance is judged by the pass rate on real inquiry tests agreed before we start, not by feel.
  • Stop the retainer, nothing stops — the chatbot runs in your own accounts and keeps answering if you cancel monthly operations.
  • Monthly operation — knowledge updates, prompt tuning, and quality reports. No minimum commitment, cancel any time.

We build internal document search and summarization AI (an internal knowledge assistant) on the same core. If the problem is internal work rather than customer service, see AI Workflow Automation

Process

From first contact to handover, here's how it runs

Each stage's output is the starting condition for the next. Acceptance is judged by the pass rate on real inquiry tests agreed before we start, not by feel.

  1. 01Free assessmentTell us your most common inquiries by email or the online assessment tool, and we will separate what the chatbot can handle from what needs a person, in writing. No obligation to proceed.Free
  2. 02Inquiry mappingWe identify the top recurring inquiry types and the reference material behind the answers (FAQ, manuals, product sheets), then fix the automated-response scope and handoff points in writing.2–4 days
  3. 03ContractFixed scope, an explicit out-of-scope list, and quantified acceptance criteria (pass rate on real inquiry tests) are locked into the contract.50% upfront
  4. 04BuildWe configure the assistant from your uploaded documents and connect it to your KakaoTalk channel and website, checking direction against interim demos.1–3 weeks
  5. 05AcceptanceAcceptance requires passing the real-inquiry tests agreed before we started. The pass record is kept in writing.50% balance
  6. 06HandoverAdmin console and an operating manual for non-developers. Everything runs in your own accounts.1–2 days
  7. 07OperationKnowledge updates, correcting wrong answers, alert-template management, and a monthly quality report — no minimum commitment, cancel any time.Monthly

Any request outside the agreed scope during the build is confirmed on a one-page change note — change, timeline, price — before it proceeds. Nothing moves on a verbal request alone.

Pricing

Pricing

Every project is a one-time build fee plus a monthly operating fee. Alert-message template management, knowledge updates, and quality monitoring after the build ships are covered under the monthly operating agreement.

One-time build fee

Covers channel integration, chatbot build, alert-message templates, acceptance, and deployment.

Monthly operating fee

Covers infrastructure operation, knowledge and template updates, quality monitoring, and the monthly report.

RAG internal-docs chatbot pilot from ₩4.9M (excl. VAT) + LLM usage billed separately

  • 6 months of free defect repair after delivery
  • Full refund before you review the first draft

We provide an exact quote through a free consultation.

How much longer will you keep answering the same questions yourself?

Tell us your most common inquiries and we will assess whether they're automatable for free, in writing. Every consultation runs remotely over email.

Ask for a quoteSee all AI services

Contact: contact@sgkstudio.co.kr