AI-Powered Lead Response: ChatGPT + Make.com + WhatsApp (Never Miss a Lead Again) featured image
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AI-Powered Lead Response: ChatGPT + Make.com + WhatsApp (Never Miss a Lead Again)

Set up an AI-powered lead response system using ChatGPT and Make.com that sends personalised WhatsApp replies the moment a job enquiry lands. Step-by-step guide …

TrainAR Team just now 14 min read

Quick Answer

Connect a website enquiry form to Make.com, run the details through ChatGPT (o3-mini), and send a personalised WhatsApp reply in under 10 seconds. The scenario also logs the lead to Google Sheets and sets a follow-up reminder in Google Calendar. Cost: roughly £0.0001 per response. Setup time: about 45 minutes.

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Practical guides for UK tradespeople on automation, efficiency, and scaling your business.

Article ID: Integrations-4 · Updated: March 2026

The £24,000 Problem Every Busy Tradesperson Knows

You're on a roof in Coventry when three enquiries come in. By the time you get back to the van at half four, two of them have already booked someone else. The third is still there. You call. Voicemail. You've just lost two jobs you never had a chance to quote.

This is not bad luck. It's a numbers game. UK tradespeople miss an average of 62% of incoming calls when working on-site. Studies on service business response rates show that 78% of jobs go to whoever responds first. The average time between an enquiry and the first response from a trades business? 47 hours. The average time a customer waits before calling someone else? 5 minutes.

Add it up over a year and the numbers get uncomfortable. Research by lead management consultants puts the average annual revenue lost to slow or missed lead response at around £24,000 for a sole trader or small team. That's a month's labour. That's a new van deposit. That's just gone.

62%
of incoming calls missed when on-site
78%
of jobs go to whoever replies first
47hrs
average trades business response time
100x
more likely to convert if you respond within 5 minutes

The answer is not to be glued to your phone. It is to make sure something responds for you, immediately, every time, with a message that sounds like you wrote it. That is exactly what this Make.com scenario does.

Tool belt on construction site floor with phone showing missed notifications
Every missed call while you're on the tools is a potential job walking out the door.

How the Automation Works

The scenario has five steps and runs completely without you once it's live. When a customer fills in your website enquiry form, or sends a message to your WhatsApp Business number, Make.com catches the data. It passes the customer's name, phone number, and job description to ChatGPT. ChatGPT drafts a personalised response that acknowledges their specific request. That message goes straight to the customer via WhatsApp Business, usually within 10 seconds of them hitting send.

At the same time, the scenario adds a row to your lead tracking spreadsheet in Google Sheets and creates a calendar reminder so you see it when you're back at your desk. Nothing falls through the cracks. Nothing needs chasing.

ChatGPT (OpenAI)
Make.com
WhatsApp Business

The system does not pretend to be you. It does not carry on long conversations. It sends one well-worded message that says "I've received your enquiry about [their job], I'll be in touch today between [time window]" and logs everything so you can follow up properly. That single message is enough to stop the customer shopping around. You've responded. You're real. They'll wait.

Workshop desk with automation flowchart diagram and laptop showing colourful dashboard
A five-module Make.com scenario handles the entire lead capture and response process automatically.

What You Need to Get Started

You do not need to be technical. If you can set up a Gmail account, you can build this. Here is what you need before you start:

  1. Make.com account: The free plan covers 1,000 operations per month, which is roughly 200 lead responses. Most sole traders will stay under that. Sign up at make.com.
  2. OpenAI API key: Create one at platform.openai.com. You'll add credit to your account (£5 covers about 5,000 responses using o3-mini). The cost per response is around £0.0001.
  3. WhatsApp Business API access: You need a WhatsApp Business account with the Cloud API enabled. Apply through Meta's developer portal (business.facebook.com). Approval usually takes 24-48 hours. You'll need a dedicated phone number, not your personal WhatsApp number.
  4. Google account: For Sheets (lead log) and Calendar (follow-up reminders). Both are free.
  5. A webhook endpoint: Most website builders (Squarespace, Wix, WordPress) can send form submissions to a URL. Make.com gives you this URL when you add the webhook trigger module.

No website contact form? No problem.

You can trigger this scenario manually from a Google Form, from a Typeform, or even by sending a formatted message to a WhatsApp Business number that acts as the intake point. Make.com connects to all of them. The webhook is just the most common starting point for a website with a "Get a Quote" button.

Build the Scenario in Make.com (Step by Step)

Log in to Make.com and click "Create a new scenario". You'll build five modules connected left to right. Follow this exactly:

  1. Webhooks: Custom webhook (trigger): Add this as your first module. Make.com generates a unique URL. Copy it. Go to your website contact form settings and paste this URL as the form's webhook endpoint. This is how Make.com receives the enquiry data. Set the fields you expect (name, phone, message).
  2. OpenAI: Create a completion: Add this as the second module. Connect your OpenAI API key. Select model: o3-mini. In the system prompt field, enter your business context: "You are a friendly assistant for [Your Business Name], a [trade] based in [location]. Draft a brief, warm WhatsApp response to a new customer enquiry." In the user message, map the customer's name and enquiry text from the webhook data using Make.com's variable picker.
  3. WhatsApp Business Cloud: Send a message: Add as the third module. Connect your Meta WhatsApp Business account. In the "to" field, map the customer's phone number from the webhook. In the message body, map the AI-generated response from the OpenAI module. The customer receives this on WhatsApp within seconds of submitting the form.
  4. Google Sheets: Add a row: Add as the fourth module. Connect your Google account. Point to a spreadsheet you've created for leads. Map columns: Date/Time (use Make.com's built-in timestamp), Customer Name, Phone, Enquiry Text, AI Response Sent. This creates your automatic lead log.
  5. Google Calendar: Create an event: Add as the fifth module. Set the event title to "Follow up: [Customer Name]", set the time to 2 hours from the current timestamp, add the customer details and original enquiry in the event description. You'll see this when you check your calendar after the job.

Click the toggle in the bottom left to turn the scenario "On". From this point forward, it runs automatically whenever a form is submitted.

Tip: Write a Good System Prompt Once

Spend 10 minutes getting your OpenAI system prompt right. Include your business name, trade specialism, area covered, and your usual response style. The more context you give, the better the draft sounds. Something like: "You are a helpful assistant for Harris Electrical, a domestic electrician covering Bristol and Bath. Respond warmly, mention that we'll be in contact within the hour during business hours or first thing the next morning for after-hours enquiries. Keep it under 60 words." Update this whenever your business or hours change.

The Make.com Scenario (Free Download)

Below is the complete 5-module Make.com scenario you can import directly into your account. The SVG diagram shows exactly how the modules connect. Download the JSON blueprint using the button below, then follow the import steps at the bottom of this section.

AI Lead Response Bot: ChatGPT and WhatsApp

5 modules
gateway:CustomW…Webhook1openai-gpt-3:Cr…Action2whatsapp-busine…Action3google-sheets:a…Action4google-calendar…Action5

Modules in This Scenario

  1. Webhooks - Custom Webhook Receives the website enquiry form submission with customer name, phone, and job description
  2. OpenAI (GPT) - Create a Completion Sends the enquiry details to ChatGPT (o3-mini) and gets back a personalised reply draft
  3. WhatsApp Business Cloud - Send a Message Sends the AI-drafted response to the customer's WhatsApp number immediately
  4. Google Sheets - Add a Row Logs the lead with timestamp, customer details, enquiry text, and the response sent
  5. Google Calendar - Create an Event Creates a follow-up reminder 2 hours later so you never forget to close the lead properly

How to Import This Scenario into Make

Click "Download Scenario JSON" above to save the blueprint file. Then log in to Make.com, go to Scenarios, and click "Create a new scenario". Click the three-dot menu in the top right corner and select "Import Blueprint". Upload the JSON file you downloaded. Make.com will show you the five modules. Then configure your connections (Webhooks (no auth needed), OpenAI (paste your API key), WhatsApp Business Cloud (connect your Meta app), Google Sheets (connect your Google account), Google Calendar (same Google account)). Test the scenario with a dummy enquiry and switch it to "On" when you're happy with it.

WhatsApp Business API Rules in 2026

There's a rule change you need to know about before you set this up. In January 2026, Meta updated its WhatsApp Business Platform policies to restrict certain types of automated messaging. The key change: general-purpose AI chatbots that hold open-ended conversations are no longer permitted.

WhatsApp API Policy Update: January 2026

Meta has banned general-purpose AI chatbots on the WhatsApp Business API from January 2026. This means you cannot build a bot that chats freely on any topic. However, task-oriented automation is still fully permitted. This includes: sending a one-off acknowledgement of a quote request, confirming a booking time, sending a job completion summary, or providing a status update. The scenario in this article does exactly that, it sends a single, specific response to a specific enquiry type. Fully compliant with the 2026 rules.

The practical difference is simple. A general chatbot says "Hi! How can I help you today?" and keeps the conversation going indefinitely. A task-oriented response says "Thanks for your enquiry about the bathroom refit, Sarah. I'll get back to you this afternoon with more details." One is open-ended. One is a single, purposeful message tied to a specific trigger. Only the second is allowed.

For most tradespeople, this is a non-issue. You are not trying to replace human conversation. You're trying to acknowledge enquiries fast enough that customers don't go elsewhere. That is exactly what the 2026 rules permit.

Manual vs Automated Lead Response

Here's what the two approaches look like side by side for a busy sole trader getting around 30 enquiries a month:

FactorManual (Current)Automated (This System)
Response time2-47 hours (if you remember)Under 10 seconds
Coverage9am-5pm (roughly)24 hours, 7 days a week
Cost per response~£2-5 in staff time~£0.0001 in API costs
Lead loggingManual (often forgotten)Automatic to Google Sheets
Follow-up reminderPost-it note or nothingAutomatic calendar event
Response qualityVaries (tired at 6pm)Consistent, professional
Missed leadsCommon (especially evenings, weekends)Near zero
Split comparison showing chaotic paper desk with sticky notes versus clean digital setup with phone showing WhatsApp notifications
Before and after: every trades business starts with the left side. This system moves you to the right.

What Does It Cost to Run?

The running costs for this automation are genuinely negligible. The biggest variable is whether you stay inside Make.com's free tier (1,000 operations per month). Each enquiry uses 5 operations, one per module, so the free plan covers 200 enquiries per month. Most sole traders won't hit that. If you do, Make.com's Core plan is £8.73/month and covers 10,000 operations (2,000 enquiries).

Compare that to the alternatives. A virtual answering service runs £200-£400 per month. A part-time admin to handle messages is £800+ per month. Even a basic 24/7 call answering service will run £150+ per month and still won't log leads or send WhatsApp messages.

£700/mo
£300/mo
£200/mo
£9/mo

Free Tier Maths

On Make.com's free plan, each lead response costs exactly zero. You pay for OpenAI API usage: o3-mini costs $1.10 per million input tokens and $4.40 per million output tokens. A typical 50-word enquiry plus a 60-word response uses roughly 200 tokens total. That is £0.00017 per lead response. If you get 100 enquiries a month, your OpenAI bill is approximately £1.70 per month. Even on the paid Make.com plan, the full cost is under £9/month.

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UK plumber leaning against his white Transit van on a UK terraced street, smiling at his phone
The system runs while you're on the job. You stay focused on the work; it handles the inbox.

Our Verdict

This is one of the best returns on half a day's setup time you'll find in the trades. The cost is negligible, the impact on lead conversion is real, and once it's running you don't touch it. The only friction is getting WhatsApp Business API access sorted through Meta, allow 24-48 hours for that. Everything else can be done in an afternoon.

If you're currently missing evening or weekend enquiries, or if you've ever lost a job because someone else responded faster, this is the fix. It won't win you every job. But it will make sure you're always in the conversation.

Best for: Sole traders and small teams getting more than 10 enquiries per week, especially those active on evenings and weekends

Time saved: 2-4 hours per week on manual follow-up and lead logging

Money saved: £2,000-£8,000+ per year in leads that would otherwise be lost to slower competitors

Setup time: 45-90 minutes including WhatsApp Business API application

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