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We built an AI voice agent that picks up every missed call. Listen to it work.

Our client was losing leads to missed phone calls. So we built a voice agent on Vapi that answers 24/7, qualifies the lead, and pushes everything into their CRM. Half a day of work. Here's the actual call.

By Miranda Ogletree·May 30, 2026·5 min read
TL;DR

Our client (an event venue) kept missing inbound phone calls and losing potential bookings. We built an AI voice agent on Vapi using OpenAI for reasoning and ElevenLabs for the voice. It answers every call, captures name, number, email, and event details, and pushes the lead into GoHighLevel with internal notifications going out by email. Half a day of work, end to end. Video above is a real call from start to finish.

The problem we were solving

Most small businesses have the same hidden leak: missed phone calls.

The owner is busy. Voicemail goes unchecked. Caller hangs up before the third ring and never calls back. That lead is gone, and most business owners never realize how many of them they're losing because the calls don't show up anywhere measurable.

Our client (an event venue called The Destination Pavilion on Cross Lake) had this exact problem at scale. Lead info was scattered across someone's phone, a computer somewhere, and physical notes. And the phone often went unanswered during the day because the team was busy serving the events already booked.

Every missed call was a potential wedding, corporate event, or party that just disappeared.

What we built

A voice agent that does three things automatically, 24 hours a day:

  1. Answers the phone. Picks up on the first ring with a real, natural-sounding voice. Introduces itself as "Ava."
  2. Qualifies the lead. Captures name, callback number, email, event type, date or rough timing, estimated guest count, and any specific requests (fireworks, tours, etc.). All in a natural conversation, no menus or "press 1 for sales."
  3. Pushes everything to the CRM. Creates a contact and an opportunity in GoHighLevel, tags it as a voice lead, and sends an internal notification email to the team with all the captured details so they can follow up with full context.

The owner doesn't have to be available. The team doesn't have to remember to log anything. The CRM is always the source of truth.

The stack underneath

Four pieces wired together:

The glue between them is a custom webhook that triggers when Vapi captures structured data. It runs twice per call by design: once early (as soon as the agent has name, phone, and email) and once at the end (with the full event details). The early capture is critical because it means a partial lead still gets saved even if the call drops mid-conversation.

Why the double capture

Real callers hang up unexpectedly. Bad cell signal. A baby cries. Someone walks in the room. If we waited until the end of the call to save the lead, we'd lose every dropped conversation. The early capture means we keep at minimum the name, number, and email even when the call doesn't make it to a natural close.

What happens after the call hangs up

This is where most voice agent demos fall apart. The agent sounds good on the call. Then the data goes nowhere. The team finds out about the lead three days later in a spreadsheet nobody opens.

Our build flips that. The moment the call ends:

By the time the team follows up, they already know who they're calling and what the lead wants. No "let me pull up your information" awkwardness. Just immediate context.

Why we built this specifically for them

The client kept saying they wanted "everything in one place." That phrase shows up in almost every Strategy Consulting engagement we run. It usually means six things at once:

A voice agent solves all six at once. That's the multiplier that justifies the build.

Who this is for

Honestly, almost any small business that takes inbound phone calls. The pattern works especially well for:

The agent doesn't replace humans. It handles intake and qualification so the human time goes toward the actual sale or service.

The half-day part

The whole build (voice configuration, system prompt rules, CRM webhook, notification flow, testing with real calls) took about half a day of focused work.

Most of that time wasn't the integration plumbing. It was the system prompt: what should the agent ask first, how should it handle interruptions, when should it confirm details back to the caller, how should it transition between topics, what should it never say. The technical wiring took maybe two hours. The conversation design took the rest.

This is consistent with what we said in our recent webinar-to-content routine post: the system prompt is the moat. The tools are commodity. What makes an AI build feel polished or amateurish is the prompt design behind it.

The take-home

A working voice agent that catches missed calls, qualifies leads, and pushes to your CRM is no longer a 6-week enterprise project. It's a half-day build with off-the-shelf tools.

If you're a small business owner reading this and you've ever said "we lose too many calls to voicemail," this is the fix. It pays for itself the first time it catches a lead you would have missed.

If you want one built for your business, that's exactly the kind of thing we do in our Automation Builds engagements. The conversation starts on a 30-minute call.

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