🚀 My Skool Community (ALL Resources) [ Ссылка ]

🦸‍♂️ AI voice agent*: [ Ссылка ]
⚡️ Zapier: zapier.com
🔮 Make* make.com/en/register?pc=jackroberts
🤖 OpenAI [ Ссылка ]
📊 A CRM of your choosing [OPTIONAL]
📈 A place to store data like Airtable:[ Ссылка ] [OPTIONAL]
📞 Phone mumber: Twillio.com (many options)
📆 Appointments: Cal.com or [ Ссылка ]

💷 Make MONEY with Skool: [ Ссылка ]

In this video, you'll learn how to create a fully automated AI appointment setter that can handle inbound calls 24/7, have natural conversations with callers, and automatically book appointments or capture lead information. This powerful system combines AI voice technology, no-code automation tools, and your existing CRM to provide a seamless booking experience for your business.

Whether you want to implement this in your own business or offer it as a service to clients, this step-by-step tutorial will show you exactly how to build and deploy your AI appointment setter.

Costs 💷
🔮 Make: FREE up to 1,000 operations
🦸‍♂️ AI voice agent: $0.58 per minute
⚡️ Zapier: Free for 100 tasks (£16.44 pm for first plan)
🤖 OpenAI: circa $0.02 per flow
📈 Airtable: Free for 1,000 records


🤖 What it does:
• Creates a fully automated AI agent that can handle inbound calls 24/7 to book appointments or capture lead information

• The AI has natural conversations with callers to determine their needs, book appointments if appropriate, and collect contact details

• Appointment and lead information gets automatically added to a CRM and other systems for tracking and follow-up

📝 How to do it:
Sign up for Synthflow (or voice agent of choice) and create a new AI voice agent, configuring the voice, scripts, scheduling options, and phone number.

Set up a new Zapier zap that is triggered when a Synthflow phone call completes. Have it send the call data to Make via webhook.

In Make, use the webhook data to extract the call transcript. Feed this into OpenAI GPT models to analyze and extract the caller's name, reason for calling, appointment booking status, and any other key details.

Still in Make, create steps to add the extracted data to your CRM (like HubSpot) and, optionally, Airtable. Configure the field mapping as needed.

If an appointment was booked on the call, have Make add it to your calendar via the scheduling tool you connected, like Cal.com.

Activate the Make scenario and Zapier Zap. Test the end-to-end flow by calling the phone number and having a sample conversation with the AI.

Verify the automation ran properly by checking the CRM, Airtable, and calendar to make sure the appointment and lead data came through correctly.

Put the AI agent into production use by connecting the phone number to your other marketing. The automated system will now be able to take calls, book appointments, and capture leads 24/7 without human intervention.

🌟 Why do this

Enables 24/7 appointment booking and lead capture without human agents
Appointment data automatically syncs to your calendar tools
Lead info gets stored in your CRM for tracking and follow-up
Can be used for inbound marketing or outbound cold calling
Highly customizable to match your brand voice and booking flow
Saves significant time and money versus human agents
Provides analytics on calls to improve scripts and performance over time

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