Guides

How to Automate SMS, Calls, and Messaging Channels

Luke Tan

Last update

Summary

  • To automate SMS, calls and other messaging channels, connect them to an AI agent that answers from your own documentation, so a customer who replies to a text or calls in gets an answer instead of a dead end.

  • The agent should answer only from your content, show the source on every reply and say so when your docs don’t cover a question, instead of guessing.

  • Wonderchat resolves about 75% of evaluated conversations without a person and sends the questions it can’t answer to a review inbox, where you answer each one once.

  • Wonderchat answers on SMS, phone calls, WhatsApp, email and your website, with WhatsApp from Starter, and 80% of Wonderchat agents that go live do so the same day.

You’re answering the same questions over and over, and leads go quiet while they wait for a reply. You’ve explored automation, but one-way notifications like SMS alerts or basic email responders are no longer enough. They can’t answer follow-up questions, qualify a lead, or guide a user to the exact piece of information they need.

An AI agent closes that gap: it answers from your documentation on your website, by SMS and on phone calls, and hands over to a person when your docs don’t cover the question.

Programmatic messaging tools are good at sending notifications; they aren’t built to answer the replies.

This guide covers:

  • The limits of traditional, one-way communication alerts.

  • How to set up an AI agent that answers from your docs, the same day.

  • Why the agent should show the source on every reply and say when your docs can’t answer.

  • Key use cases for customer support, sales, and internal operations.

From Notifications to Conversations: Why Your Business Needs More

Traditional automation excels at sending outbound messages: appointment reminders, shipping alerts, and one-time passcodes. These are critical functions. For sending them, a programmatic messaging tool such as Twilio remains the right choice. However, they represent a one-way street. When a customer replies with “Can I reschedule?” or “Where is my package really?”, the automation breaks down, and the reply becomes a new ticket for you.

The fundamental limitations are:

  • Lack of Interactivity: They can’t understand context or answer nuanced follow-up questions.

  • High Maintenance: Relying on developers to code and update logic for every possible interaction is slow and costly.

  • No Way to Improve: Nobody sees which replies went unanswered, so the gaps stay open.

  • Disconnected Knowledge: They aren’t connected to your website, product docs, PDFs or help center.

To answer the replies, you need an agent that reads your documentation, answers from it and tells you what it couldn’t answer. Wonderchat is the AI customer service agent for small teams with real documentation.

Set Up a Wonderchat Agent the Same Day

Wonderchat needs no developer: you point it at your docs and it starts answering. It answers from your own content and can capture leads in the same conversation.

With Wonderchat, you can:

  • Train on Your Data: Simply upload files (PDFs, DOCX), paste text, or crawl your website. The agent answers from that content and shows the page each answer came from.

  • Go Live the same day: Forget complex coding and lengthy development cycles. 80% of Wonderchat agents that go live do so the same day.

  • Make It Yours: Set the agent’s tone and the widget’s look to match your brand.

  • Speak Your Customer’s Language: The agent answers in more than 40 languages.

  • Easy Escalation: When your docs don’t cover a question, Wonderchat’s Human Handover & Live Chat feature passes the whole conversation to your team, as a ticket or in live chat, both on every plan.

Reduce Made-Up Answers with a Source-Cited AI Agent

A chatbot is only as good as the information it provides. Generic AI models often “hallucinate”, inventing facts and providing plausible but incorrect answers. This is a critical risk for any business.

Wonderchat’s AI Knowledge Search answers only from your own content. It searches your website, help center, docs and files, and answers with a link to the source.

This means:

  • Verifiable, Source-Attributed Answers: Every answer the agent gives links back to the source document, page or file it came from. You and your customers can check every answer against the page it came from.

  • Fewer Made-Up Answers: The agent answers only from your content, and when no page covers a question it says so instead of guessing. Those questions land in a review inbox, where you answer each one once and the agent answers it from then on.

  • Handle Large Docs: Wonderchat reads large knowledge bases and technical manuals; knowledge bases over 500 pages take a median 15 days to go live.

Use Cases for Support, Sales and Internal Questions

The same agent setup can answer customers, qualify leads and answer your team’s questions.

  • Customer Support: Wonderchat resolves about 75% of evaluated conversations without a person and hands the rest to you with the whole conversation. It answers from your own content on every channel you connect, SMS and phone calls included.

  • Lead Capture: The AI Sales Agent answers buying questions, asks the qualifying questions you set, routes the lead to the right person or CRM and shares your booking link.

  • Internal Questions: The Internal AI Agent lets your team ask the docs in Slack instead of asking you. Onboard new hires faster, answer HR questions, and give your IT team a self-service support tool.

Security and Integrations

Putting an AI agent in front of customers requires trust. Wonderchat is built for small teams with real documentation.

  • No-Code Simplicity: Wonderchat is designed for business users, not just developers. Avoid the “integration headaches” and complex error handling of code-based solutions. Focus on your customer experience, not API rate limits.

  • Security: Wonderchat takes your data seriously. Wonderchat lists SOC 2 Type II, GDPR, EU-hosted in Frankfurt, HIPAA BAA available.

  • Integrations: Connect Wonderchat to the tools you already use. Wonderchat connects to HubSpot, Salesforce, Zendesk, Freshdesk and Zapier, and offers a Developer Platform (API) for custom connections.

Ready to Change Your Customer Engagement?

Stop just sending notifications and start having conversations. Wonderchat answers from your docs on every channel, shows the source and tells you what it couldn’t answer.

Start on the free plan that refills 50 AI replies every month, no credit card, with website chat and live chat included.

Frequently Asked Questions

What is a conversational AI chatbot?

A conversational AI chatbot is an advanced tool that engages in human-like, two-way conversations with users. Unlike simple one-way notification systems, it can understand what the user means, answer follow-up questions and answer from your specific business data.

How does an AI chatbot prevent giving incorrect answers or “hallucinating”?

An AI chatbot reduces made-up answers by answering only from your own company content. Wonderchat shows the source on every reply, and when no page covers a question it says so instead of guessing.

How quickly can I set up a custom AI chatbot for my website?

80% of Wonderchat agents that go live do so the same day. The process typically involves simply providing your website URL or uploading your business documents. The agent then answers from that content on your website and any other channel you connect.

What kind of data can I use to train my AI chatbot?

This includes crawling your website pages, uploading files like PDFs and DOCX, or pasting in raw text from knowledge bases, support tickets, and product manuals. Keep it current: an archived policy left in your sources gets answered from as if it were live.

Why should my business use an AI agent instead of just SMS alerts or basic chatbots?

Because customers reply, and an alert can’t answer back. While SMS alerts are useful for one-way notifications, they cannot handle follow-up questions. An AI agent answers the follow-up from your knowledge base, qualifies the lead and hands over to a person when your docs don’t cover it.

Can an AI chatbot do more than just answer customer questions?

Yes, within limits. It can ask qualifying questions, capture lead details, share your booking link and answer employees’ questions from internal docs, but Wonderchat’s agent takes no actions such as refunds or account changes.

What happens when the AI chatbot doesn’t know the answer?

Wonderchat says so instead of guessing and offers a person. Human Handover & Live Chat passes the whole conversation to your team, as a ticket or in live chat, both on every plan, and the question lands in the review inbox.

Is it safe to use our company data to train an AI chatbot?

Yes, if the vendor shows its certifications. Wonderchat lists SOC 2 Type II, GDPR, EU-hosted in Frankfurt, HIPAA BAA available.

Stop answering the same questions. Let your docs do it.

Luke Tan

Luke Tan is the technical co-founder of Wonderchat. He is an RAG nerd, with an avid interest in gaming. If he is not prompting AI to figure out the next cool feature to build, he can be found trying out new AI tools.