The Ultimate WordPress Marketing Stack: AI-Powered Voice, SMS, and CRM Automation

Guide: Connecting AI Engine → Jambonz → FluentCRM

Turn Your WordPress Audio Chatbot into a Voice- & SMS-Powered CRM Machine

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Overview

1. AI Engine (Pro) gives you an on-site audio chatbot.
2. Jambonz places/receives calls & texts.
3. A lightweight “middleware” service glues them together and pushes data into FluentCRM.

Result → A visitor can: • Chat by voice → request a call/SMS
• Speak or text answers during that conversation
• See their FluentCRM profile auto-updated with tags, custom fields, notes, etc.

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1. Prerequisites

Item	Why
WordPress + AI Engine (Pro)	Audio chatbot & webhook support
Jambonz account (cloud or self-host)	Voice/SMS CPaaS
FluentCRM (free or pro)	WordPress-based CRM
Middleware server (Node, Python, etc.)	Receives webhooks & calls Jambonz + FluentCRM APIs
Public HTTPS URL (ngrok/Tunnel if testing locally)	Required for webhooks

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2. Configure AI Engine Audio Chatbot

1. Install / activate AI Engine and upgrade to Pro.
2. WP Admin → Meow Apps ▸ AI Engine ▸ Chatbot
   • Enable Realtime Audio Chatbot
   • Craft a prompt such as “Hi! Want us to call or text you? Just say ‘Call me’ or ‘Text me’ with your phone number.”
3. Webhook / Function-call settings
   • When the user provides a phone number + “call” or “text”, send a POST to https://your-middleware.com/ai-hook • Example payload structure AI Engine will emit: { "action": "call", // or "sms" "phone": "+15551234567", "contact_email": "jane@ex.com", // if collected "conversation_id": "xyz123" }

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3. Spin Up the Middleware (Node.js example)

# .env  (never commit to Git)
JAMBONZ_ACCT=ACxxxxxxxx
JAMBONZ_KEY=key_xxxxxxxxx
JAMBONZ_APP=APxxxxxxxx       # Outbound-call application SID
JAMBONZ_FROM=+15559876543    # Your Jambonz DID
FLUENTCRM_TOKEN=xxxxxxxxxxx
FLUENTCRM_URL=https://yourwp.com/wp-json/fluent-crm/v2
PORT=3000

// server.js
require('dotenv').config();
const express = require('express');
const axios   = require('axios');
const app = express();
app.use(express.json());

/* ---------- Utility: update FluentCRM -------------- */
async function updateCRM(phone, data = {}) {
  await axios.put(
    `${process.env.FLUENTCRM_URL}/contacts/phone/${encodeURIComponent(phone)}`,
    data,
    { headers: { Authorization: `Bearer ${process.env.FLUENTCRM_TOKEN}` } }
  ).catch(()=>{});
}

/* ---------- AI Engine webhook ---------------------- */
app.post('/ai-hook', async (req,res)=>{
  const {action, phone, contact_email} = req.body;

  // ensure contact exists or create
  await updateCRM(phone, {
    email: contact_email || `${phone}@example.com`,
    phone,
    tags: ['from_chatbot']
  });

  if (action === 'call') {
    await axios.post(`https://api.jambonz.cloud/v1/Accounts/${process.env.JAMBONZ_ACCT}/Calls`, {
      to: phone,
      from: process.env.JAMBONZ_FROM,
      application_sid: process.env.JAMBONZ_APP
    },{
      headers:{Authorization:`Bearer ${process.env.JAMBONZ_KEY}`}
    });
  } else if (action === 'sms') {
    await axios.post(`https://api.jambonz.cloud/v1/Accounts/${process.env.JAMBONZ_ACCT}/Messages`, {
      to: phone,
      from: process.env.JAMBONZ_FROM,
      body: "Thanks for reaching out! Reply with your preferred meeting time."
    },{
      headers:{Authorization:`Bearer ${process.env.JAMBONZ_KEY}`}
    });
  }
  res.sendStatus(200);
});

/* ---------- Jambonz: gather results / SMS replies --- */
app.post('/jambonz-hook', async (req,res)=>{
  const {from, speech, dtmf, text} = req.body;      // depending on call or sms
  const phone = from;

  // Simple example: store last response in a custom field
  await updateCRM(phone,{
    meta: { last_response: speech || dtmf || text },
    tags: ['replied']
  });

  res.sendStatus(200);
});

app.listen(process.env.PORT, ()=> console.log('middleware up'));

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4. Create Your Jambonz Application

1. Outbound Application
   • Type: “voice”
   • POST-GATHER URL → https://your-middleware.com/jambonz-hook
   • JAML sample to collect DTMF or speech:

<?xml version="1.0" encoding="UTF-8"?>
<application>
  <say>Hi there! Press 1 for sales, 2 for support.</say>
  <gather action="/jambonz-hook" method="POST" input="speech dtmf" timeout="5"/>
  <say>We didn't get your input. Goodbye.</say>
</application>

2. SMS Webhook
   • Your DID → SMS → Webhook URL https://your-middleware.com/jambonz-hook

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5. Testing the Flow

1. Visit the page with the AI Engine audio chatbot.
2. Say: “Please call me at 555-123-4567.”
3. Watch network logs:
   • AI Engine → /ai-hook (phone + action)
   • Middleware → Jambonz outbound call
4. During the call, press “1”.
   • Jambonz → /jambonz-hook with dtmf=1
   • Middleware tags the contact replied + last_response=1 in FluentCRM.
5. Confirm in FluentCRM that the contact record shows the new tag & meta-field.

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6. Security & Compliance Checklist

• Use HTTPS everywhere (Let’s Encrypt).
• Validate phone numbers (E.164) before dialing.
• Store API keys as environment variables.
• Add a secret token header on all webhooks and verify it.
• Obtain explicit consent for calls/texts; honor opt-outs (update tags like do-not-call).

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7. Useful Links

• AI Engine docs – https://meowapps.com/ai-engine/
• Jambonz docs – https://www.jambonz.org/docs/
• FluentCRM REST API – https://fluentcrm.com/docs/rest-api/
• E.164 phone validation – https://libphonenumber.appspot.com/

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Final Thoughts

With about 100 lines of middleware code you have:

1. Conversational voice AI on WordPress.
2. Real phone calls & SMS handled by an open-source CPaaS.
3. Automatic CRM enrichment inside FluentCRM.

Scale it up with NLP, multi-step IVRs, appointment booking APIs—your chatbot is now a true omnichannel sales rep. Happy building!