方案二：进阶版（半自动转人工）
适合：客户多、有复杂咨询需求、不想AI乱说话
核心思路
AI先回第一轮 → 客户追问/复杂问题 → 转到你审核 → 你确认后发送。
OpenClaw做不到直接"接管后转人工"，但可以这样变通：
设置智能体的"能力边界"：
客服模式：先自动回复
如果你的问题是以下常见类型，我可以直接回答：
- 价格咨询
- 发货时间
- 产品规格
- 售后流程
如果问题比较复杂（讨价还价、定制需求、投诉），我会说：
"这个问题我让我老板来帮你处理，稍等一下哦~"
然后你需要手动回复。
这样：简单问题AI搞定，复杂问题你介入。
方案三：按场景定制的客服机器人
场景A：淘宝/拼多多店主
痛点：客户通过微信加好友咨询，问题都是"这个还能优惠吗""有实拍图吗""几天能到"
AI应答模板：
| 客户问 | AI答 |
|---|---|
| "多少钱" | 告知价格区间 + 发商品链接 |
| "有优惠吗" | 告知当前活动 + 建议关注店铺 |
| "几天到" | 告知发货时间 + 预计送达 |
| "质量怎么样" | 引导看评价 + 说明质保 |
| "能便宜点吗" | 礼貌回应 + 建议，不直接拒绝 |
场景B：实体店/餐饮老板
痛点：客户微信问"几点开门""今天有位置吗""有什么推荐的"
AI应答模板：
客户问开门时间 → "我们每天[时间]营业，节假日另行通知哦~"
客户问菜单/商品 → "您可以看看我们的首页，最新的都在上面~"
客户预约 → "好的，您大概几点到？几个人？我帮您记一下~"
场景C：本地服务（家政/维修/美容/教育）
痛点：预约管理、价格咨询、服务介绍
AI应答模板：
客户问价格 → "我们的[服务名称]是¥X起，具体还要看您的情况~方便说说需求吗？"
客户预约 → 收集时间+需求 → 引导到预约系统或人工确认
客户问效果 → 引导看案例/评价
真实案例测算
案例：饰品工作室
- 每天约30人微信咨询
- 问题类型：80%价格/发货/款式，20%定制/议价
- 人工回复每天花2-3小时
A1方案：
- 硬件：A1一台（一次投入）
- API：DeepSeek免费额度（够用三个月）
- 配置：30分钟
效果： - AI处理80%常见问题，你只用管20%复杂问题 - 每天省2小时回复时间 - 晚上也不怕漏消息
注意事项
⚠️ 微信规则
- 个人号有风控，批量自动化可能触发限制
- 建议用小号或工作号，不拿主号冒险
- 不要做群发、批量加好友
- 企业场景用企业微信接入更合规
⚠️ 不要让AI乱承诺
- 在系统提示词里明确禁止编造信息
- 涉及价格、库存、优惠的内容要谨慎
- 客户投诉和退换货建议转人工处理
这样开始
- 先从方案一（基础版）开始，门槛最低
- 跑一周看看效果，记录经常被问但AI没答好的问题
- 根据反馈优化系统提示词
- 慢慢过渡到进阶模式
先用起来，比完美重要。
延伸阅读
WeChat Customer Service Automation for Small Businesses: 24/7 Support with One A1
Whether you run an online store, a physical shop, or a local service — customers keep asking the same few questions. Manual replies are exhausting. Missed replies lose sales.
One KAIHE A1 automates it.
The Difference
| Before | After |
|---|---|
| Manually typing every reply | AI auto-responds instantly |
| Losing messages overnight | 24/7 always online |
| Answering the same question 100 times | Set once, AI handles forever |
| Unsure how to handle tricky questions | AI drafts a reply; you approve and send |
| Customers leave while waiting | Instant response |
Plan 1: Basic Setup (30 minutes)
Best for: Low-volume inquiries (< 50/day), straightforward needs
What you need? - One KAIHE A1 - A free API key (sign up for DeepSeek or Gemini — free credits included) - A secondary account (recommended over your main one)
How to set it up?
Step 1: Create a customer service agent
Write a clear system prompt:
You are the AI customer support agent for [Business Name].
What we do: [One-sentence description]
Response rules:
- Tone: warm and natural — like a real person, not a robot
- Pricing questions → Share the price range, link to the product page
- Shipping questions → Share timelines and carriers
- After-sales questions → Share the return/exchange policy
- Anything uncertain → "Let me check on that for you, one moment!"
Never:
- Promise discounts that don't exist
- Make up inventory information
- Be rude or dismissive
Step 2: Connect to your messaging platform
OpenClaw panel → Channel Configuration → Discord/Slack/WhatsApp → follow guided setup.
Step 3: Set trigger rules
- Direct messages: auto-reply to all
- Group/channel messages: reply only when @mentioned
Step 4: Test
Send common customer questions and see how the AI responds. Tweak the prompt as needed.
Plan 2: Hybrid Mode (AI + Human Review)
Best for: Higher volume, complex inquiries, more control over messaging
Core idea
AI responds first → If the customer follows up or the question is complex → AI flags it → You review and send.
Set clear capability boundaries in your prompt:
Response protocol:
For these common questions, I'll answer directly:
- Pricing inquiries
- Shipping timelines
- Product specifications
- Return/exchange policies
For complex or unusual requests (negotiation, custom orders, complaints), I'll say:
"Let me have someone on our team look into this for you — one moment!"
Then you handle it manually.
Result: simple queries automated. Complex ones go to you.
Plan 3: Industry-Specific Bots
A. E-commerce Shops
| Customer Asks | AI Responds |
|---|---|
| "How much?" | Share price range + product link |
| "Any discount?" | Share current promotions |
| "How fast is shipping?" | Share timeline + estimate |
| "Is it good quality?" | Point to reviews + warranty info |
B. Restaurants & Physical Shops
Hours questions → "We're open [hours]. Check our socials for holiday hours!"
Menu/product questions → Browse the pinned post or website for the latest
Reservations → "What day and for how many? I'll note it down for you!"
C. Local Services (cleaning, repair, beauty, tutoring)
Pricing → "Our [service] starts at $X. Can you tell me more about what
you're looking for?"
Booking → Collect time + needs → route to booking system or human confirmation
Results/portfolio → Point to reviews, before/after, or case studies
Real Example
Case Study: Jewelry Studio
- ~30 customer inquiries daily via messaging
- Question types: 80% pricing/shipping/style, 20% custom/negotiation
- Manual replies took 2-3 hours daily
A1 solution: - Hardware: One A1 (one-time purchase) - API: DeepSeek free tier (covers 3 months of usage) - Setup: 30 minutes
Results: - AI handles 80% of common questions automatically - Saves ~2 hours of reply time daily - No more missed overnight messages
Important Notes
Platform Rules
- Respect each platform's automation policies
- Use a dedicated account, not your primary one
- Don't use for spam, mass messaging, or unsolicited outreach
- For business use, prefer officially supported integration methods
Don't Let the AI Overpromise
- Explicitly prohibit fabricated information in the system prompt
- Be cautious with pricing, inventory, and promotional messaging
- Route complaints and returns to human handling
Getting Started
- Start with Plan 1 (basic setup) — lowest barrier
- Run it for a week, note common questions the AI didn't handle well
- Refine the system prompt based on feedback
- Gradually move toward hybrid mode as you gain confidence
Start using it. That matters more than getting it perfect.