How to improve customer service with AI: automatic responses, personalization and faster reply times

Before automating anything, you need to know which queries you’re going to automate. AI helps you organize and expand that list.

1. Gather 10 to 20 examples of real customer messages or emails (remove personal data before pasting).

2. Paste them into Claude with this prompt:

   These are real messages from my customers. Group them by query category,
   give each category a title, and tell me the 3 most frequent questions.
   Also include the ideal response (clear, short and friendly) for each one.

3. Claude will give you a query map with draft responses. Review it and adjust the details.

4. Save that map: it’s your chatbot’s knowledge base.

If you don’t have saved messages, describe your business to Claude and ask: “What are the 15 most frequent questions businesses like mine receive?” It’s a good starting point to complete with the real cases you see over time.

An automatic response that sounds robotic drives customers away. AI can help you create responses that sound human and match your brand’s tone.

1. Take the draft responses from the previous step and ask Claude to improve them:

   These are my customer service responses. Adjust them to sound
   [warm and friendly / formal and professional / direct and no-fluff].
   My business is [briefly describe it]. Use informal or formal address
   according to my audience.

2. For responses to queries with variable information (price, delivery date, order status), create templates with variables:

   Create a response template for "when does my order arrive?" that includes
   a space for [estimated date] and [tracking link]. Friendly tone.

3. Save the final responses in a document. These are what you’ll load into your chatbot in the next step.

Don’t automate responses for sensitive situations (serious complaints, angry customers, legal issues). Those conversations always need a human.

You have two main options depending on how you want to use the chatbot:

Option A: Claude Projects (for internal use or service via link)

Ideal if your customers write to you by email or contact you directly and you want an assistant that helps you respond faster.

1. Create a Project in Claude (claude.ai) with your knowledge base from step 1.
2. Give it clear instructions: tone, what it can and can’t answer, when to hand off to a person.
3. Use it to generate quick response drafts before sending them.

The tutorial How to create a chatbot with Claude without coding explains this process in more detail.

Option B: Tidio (for a chat widget on your website)

Ideal if you have a website and want a chatbot visible to visitors.

1. Create an account on Tidio (tidio.com). The free plan allows up to 50 conversations per month.
2. Install the widget on your site (Tidio gives a code snippet to paste; for WordPress or Shopify there’s a direct plugin).
3. In the Tidio dashboard, configure the Lyro AI agent: upload your FAQs and responses from step 1.
4. Activate the chatbot and test it as if you were a customer.

Confirm the free plan conversation limit and current pricing on Tidio’s official page before installing.

An isolated chatbot resolves queries, but a connected chatbot also logs, notifies, and updates. This is where automation comes in.

With Make (formerly Integromat):

1. Create an account on Make (make.com). The free plan gives 1,000 operations per month.
2. Connect your chatbot (Tidio, Claude via API, or any other tool) to:
   • Your CRM or Google Sheets: to automatically log each conversation and customer data.
   • Your email or Slack: to get a notification when the chatbot can’t resolve something and escalates to you.
   • Your order system: so the chatbot can look up order status in real time.
3. Test the full flow by sending a real query and verifying the log is created and the notification arrives.

The tutorial How to automate tasks with Make and AI shows you how to build these flows step by step.

You don’t need to connect everything on the first day. Start with the integration that gives you the most value (for example: notification when the chatbot escalates) and add more connections later.

An AI customer service system improves with use, but only if you actively review it.

What to review every week or month:

1. Automatic resolution rate: What percentage of conversations does the chatbot resolve on its own without escalating? Aim for more than 60% for common queries.
2. Unanswered questions: What questions couldn’t the chatbot answer? Those are gaps in your knowledge base. Add the missing responses.
3. Escalated conversations: Why were they escalated? Are they complex queries (normal) or basic questions it should handle (a problem)?
4. Customer satisfaction: If your tool allows it (Tidio does), activate a mini-survey at the end of each conversation.

With that data, use Claude to analyze the history and improve:

These are this month's conversation logs where the chatbot couldn't respond.
What topics repeat? What answers should I add to my knowledge base?

Continuous improvement is what separates a useful chatbot from one that frustrates customers. Half an hour a month reviewing the history makes a real difference.

Problem	Fix
The chatbot doesn’t correctly answer FAQs	Check that responses are well written in the knowledge base and that the chatbot instructions say “only answer with the information you have”
Customers abandon the conversation without a reply	The chatbot is too slow or doesn’t understand the question; simplify the welcome flow and add a “talk to a person” shortcut
I receive too many escalations	Your knowledge base has gaps; review the unanswered questions and fill in the missing ones
Tidio’s free plan runs out quickly	Consider the paid plan or filter which conversations the chatbot handles (by schedule or question type)
I don’t know how to connect the chatbot with my other tools	Start with Make (make.com): it has ready-made templates to connect Tidio with Google Sheets, Gmail, or Slack without coding