I made an AI Call Receptionist

@theaiclubhouse

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Selling · SaaS › AI Tool

Vapiseen in 3 videos →https://www.youtube.com/@TheAIClubhouse ↗

Why it worked

The video highlights a tangible cost-saving benefit ($18,000 in the first month) and a significant reduction in human resources (from 13 to 5 staff), demonstrating clear value and efficiency gains from the AI solution.

Summary

The creator explains how they built an AI call receptionist using Twilio, Vapi, and fine-tuned GPT, which saved a company $18,000 in the first month by handling customer inquiries and transferring complex issues to human agents. This reduced their call staff from 13 to 5 people, allowing the remaining staff to focus on more important calls.

Structure

1Introduction of AI Call Receptionist
2Cost savings and efficiency
3Handling customer inquiries
4Transferring to human agents
5Reduction in staff
6Call to action

Original caption

My Naughty little A.I Voice Secret…. Want to work with my team or learn from me? Just check out the link in my bio. #voiceai #vapi #voiceagents

More from @theaiclubhouse

Their other posts in the index, biggest breakout first.

Product placement

Twilio: it ACTS - it is used to build the AI call receptionist. Removing it would change what happens in the video. Vapi: it ACTS - it is used to build the AI call receptionist. Removing it would change what happens in the video. fine-tuned GPT: it ACTS - it is used to build the AI call receptionist. Removing it would change what happens in the video. Von Dutch: it APPEARS - it is a logo on a hat. Removing it would not change what happens in the video.

Call to action

check out the link in my bio

On-screen text

I made an AI Call Receptionist for one of your favorite companies people saved $18,000 first month Here's how with twilio VAPI fine tuned it replaced what a do at the cost handled extremely well questions policies subscriptions Number handing departments and the best part when the AI didn't know the answer the back know transfer human building took their call staff from 13 people to just 5 the handling important calls if you want or your business out

Transcript

I made an AI Call Receptionist for one of your favorite companies. People saved $18,000 in the first month. Here's how. We built the model with Twilio, Vapi, and a fine-tuned GPT. It replaced what a human could do at 5% of the cost. It also handled two scenarios extremely well. Number one, questions about shipping, policies, subscriptions. Number two, handing departments and the best part when the AI didn't know the answer, it would tell the customer that it'll get back to them when they do know, or transfer them live to a human agent. Building this for their company took their call staff from 13 people to just 5. The 5 handling important calls. And if you want to learn more or have this built out for your business, just check out the link in my bio.