AI Agent 導入：在 LINE、Slack 裡工作的 AI 代理AI agent adoption: AI agents that work inside LINE and Slack

What an AI agent can do, and what it should not

An AI agent is not just a chatbot. It understands a request in plain language, decides which data to look up and which tools to use, and puts the answer together. A salesperson asks in LINE whether last week’s order for a customer has shipped; the agent checks the order and shipping systems with read-only access, replies with the status and drafts a notice to the customer, which a colleague approves before it goes out.

Agents are a good fit for lookups, summaries, drafts and pulling information together across systems: work where mistakes can be spotted and fixed. Commitments to customers, changes to amounts and deleting data are not left to the agent; they always need human approval. Our team has hands-on experience deploying and running OpenClaw and pi, and the assessment tells you honestly which tasks are worth handing to an agent and which are not.

Internal assistants and customer-facing agents

Internal: an assistant for staff in LINE, Slack or Microsoft Teams that looks up internal data, summarises meetings and documents, and drafts replies. Data stays in the environment you choose, so nobody needs to paste company information into a personal AI account.

Customer-facing: for example a customer-service agent on your LINE Official Account that answers common questions, checks order status and helps with bookings. Customer-facing work has stricter rules:

• Answers stay within the topics and sources you approve; anything else is handed to a person.
• Requests for a person, upset customers, refunds and personal data go straight to a human.
• Customers are told they are talking to AI and how their data is used.
• Conversations and tool calls are logged for spot checks, follow-up and improvement.
• Retention periods and masking rules follow Taiwan’s Personal Data Protection Act and your privacy policy.

OpenClaw and pi: private open-source agents

OpenClaw is an open-source, self-hosted AI agent platform that works with LINE, Slack, Telegram and other channels, and with model services such as Claude or GPT, or local models. pi is a minimal open-source agent framework that OpenClaw was originally built on; it suits teams with simpler needs who want to control every part. Licensing and maintenance of both can change, so we check again before each project.

We are not tied to one framework. OpenClaw makes sense for an internal assistant across several channels and skills; for simpler needs, pi or a small custom agent can be easier to maintain with a smaller attack surface. If the assessment shows the risks outweigh the benefits, we will advise against OpenClaw.

Connecting internal systems safely with MCP

To look things up in your ERP, spreadsheets, orders or stock, an agent needs a controlled path. We build a dedicated connector for each system with MCP (Model Context Protocol): read-only first, then write access one action at a time once it is stable, with writes requiring human approval by default. Each connector has its own account and least privilege, and secrets are managed centrally, never in config files or chats.

Security and permissions

An AI agent takes real actions, so security is the core of the work. OpenClaw has had a high-severity flaw that allowed remote code execution from a single click (CVE-2026-25253, since patched), and researchers found hundreds of malicious skills in its skill marketplace. In March 2026 Taiwan’s Administration for Cyber Security warned that a poorly configured OpenClaw can easily become a security breach, and recommended five measures. Our deployments follow each one:

• Isolation: a dedicated host, VM or container, not shared with other systems.
• Dedicated, least-privilege accounts for the agent and for every connector.
• Human approval for high-risk actions such as sending externally, amounts and deletions.
• Third-party skills reviewed first: an allow-list, scanned and read before installation, never installed straight from the marketplace.
• Regular review and backups of the agent’s memory and settings, with action logs kept and updates and advisories tracked.

Even with all of this, the risk is not zero. The assessment explains the remaining risk so you can decide with full information.

How adoption works

1. Free 30-minute consultation about your team, systems and the problem to solve.
2. Use-case and risk assessment: which tasks suit an agent and which do not, usually 1–2 weeks.
3. Pilot in an isolated environment: read-only, small scope, a few colleagues, usually 2–4 weeks.
4. Hardening, user training and launch: staff know how to use it, what never to paste, and how to report problems.
5. Ongoing support (optional): updates, security advisories, log reviews and rule tuning.

Who it is for

• Teams that keep switching between systems to look things up and answer LINE messages.
• Companies that installed OpenClaw themselves and are worried about configuration and security.
• Businesses that want staff to use AI in LINE or Slack without putting company data in personal accounts.
• Brands and shops that want AI to handle common LINE questions first and hand harder cases to a person.

What to prepare before we start

• The lookups and repetitive tasks your team does most, and which systems they log into.
• Whether those systems have APIs, and who manages accounts and permissions.
• Which data must not leave the company, and your requirements for model services and retention.
• For customer-facing agents: common questions, when to hand off to a person, and who takes over.

What affects the cost

Cost depends mainly on the number of agents and channels, how many systems we connect, internal or customer-facing use, the approval and logging you need, and whether you want ongoing support. The reference prices on this page list starting prices; model API and cloud hosting costs are billed by actual use, paid directly to the providers. To find the most sensible place to start, book a free 30-minute consultation. See also AI workflow integration, LINE Bot and LIFF development and AI-assisted coding training.