The AgentivUse cases

An agent that answers FAQs and order status on your LINE Official Account and hands the rest to staff

Function: Customer serviceEffort: About a weekPublished: 2026-10-16

The problem

Most LINE OA chats ask the same five things: price, stock, shipping time, where my order is, and how to pay. Admins answer them one by one until late evening, and the one message that really needs a person, a complaint or a refund, waits in the same queue.

How the agent works

Every message to the LINE Official Account arrives at a webhook that checks the LINE signature and reads the text. The agent first looks the question up in a knowledge base the shop maintains (products, prices, shipping and payment rules); if the customer gives an order number it fetches the status from the shop's order system and answers with the LINE reply token. If the answer is not in the knowledge base, or the customer is upset or asks for a person, the agent sends a short acknowledgement, stops replying in that chat and posts the conversation to a staff channel so a human takes over. Staff answers go back to the customer as a Messaging API push message. Once a week the team reviews the questions the agent could not answer and adds them to the knowledge base.

Worked example

The open source building blocks are already published: LINE's own Messaging API SDK handles the webhook, signature check and reply; LINE's official MCP server exposes push messages, user profiles and rich menus to an AI agent (the README marks it a preview); and LangBot connects a LINE Official Account to Claude with a built in knowledge base. None of these pages reports customer results, so measure your own first response time before and after.

PDPA note. Chat text and LINE user IDs are personal data. Store only what the agent needs to answer (order number, question, outcome), set a retention period for chat logs, and tell customers in the OA greeting that an AI assistant answers first.

Run this in your business

Digigen's AI Workshop and Solution Design package takes a use case like this from idea to a working build: a half day workshop with your team (THB 25,000) or ten days of discovery, prioritisation and solution design (THB 160,000, credited against the build).

Book the AI Workshop

Sources

Related use cases

An agent that reads invoices dropped in a shared Drive folder, extracts the fields into a Google Sheet and queues them for approval

FinanceEffort: An afternoonGoogle Drive · Google Sheets · Gmail

Supplier invoices arrive as PDFs by email and LINE and someone retypes the number, date, amount and due date into a spreadsheet before the accountant sees them. Typos slip through, due dates get missed and month end starts with a hunt for the invoices nobody logged.

An agent that pulls yesterday's Shopee and Lazada orders into one Google Sheet and flags what has not shipped

OperationsEffort: About a weekShopee · Lazada · Google Sheets

The owner opens two seller centres every morning, exports two spreadsheets and adds them up by hand to learn what sold, which SKUs are running low and which orders are still waiting to ship. On a busy day the check is skipped and a ready to ship order sits past the deadline.

An agent that reads your monday.com project boards every Friday and drafts the client status report

OperationsEffort: An afternoonmonday.com · Claude

Project managers spend Friday afternoon copying statuses and dates out of monday.com into an email or slide for each client. The report goes out late, looks different from one PM to the next, and the overdue items that matter most are buried in a list of everything else.