I built an AI Call Center for a Fortune 500 Company

@theaiclubhouse

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Selling · Agency / Service

The AI Clubhouseseen in 7 videos →https://www.youtube.com/@TheAIClubhouse ↗

Why it worked

The video uses a high-value, specific case study to establish authority and then offers a direct solution to the viewer's business problems, making the promotional pitch feel like a natural extension of the value provided.

Summary

The creator explains how he built an AI-powered call center for a large company using specific tools, resulting in significant cost savings and staff reduction. He then invites viewers to click the link in his bio to have a similar solution built for their own business.

Structure

1Hook with a bold claim about cost savings
2Explanation of the tech stack used
3Breakdown of the AI agent's capabilities
4Results of the implementation
5Call to action for custom business solutions

Product placement

The creator mentions Air AI, GPT, and Twilio as tools used to build the solution, but the actual product being sold is his agency service, The AI Clubhouse.

Original caption

My dark SECRET But you can have it built for your compnay too. #automation #gpt

More from @theaiclubhouse

Their other posts in the index, biggest breakout first.

Call to action

check out the link in my bio

On-screen text

I built an AI Call Center for a Fortune 500 Company $36,000 Air AI GPT Twilio 90% 5% shipping policies subscriptions 3

Transcript

I built an AI Call Center for a Fortune 500 Company and it saved them $36,000 in the first month. Here's how. With a combination of Air AI, GPT, and Twilio, I was able to set up an AI agent which replaced 90% of what a human agent could do at 5% of the cost. It handled two scenarios extremely well. Number one, questions about shipping, policies, and subscriptions. And number two, handing off to other departments in the company. And the best part, when the AI didn't know the answer, it would tell the customer that it'll get back to them or transfer them directly into one of the human agents. But just building this solution took their call staff from 12 to 3. With those three human agents being the top performing and handling calls with more sensitive data. And if you want to learn or have this built off for your business, just check out the link in my bio. And that's how.