Most high-ticket coaching funnels follow the same pattern. A prospect watches your content. They fill out a long application. They book a strategy call. And then nothing happens until the appointment. That gap is where intent starts cooling down. In this new breakdown, I reverse engineer the funnel of William Brown and show where an AI voice agent can increase leverage without changing what already works. Specifically, the agent calls the lead immediately after the booking to: • clarify the prospect’s growth goals • capture additional context from the application • align expectations for the strategy call • reinforce commitment to attend The goal is not to sell. The goal is to protect the moment of maximum intent and increase show-up rate. Inside the video you’ll hear the full call and see how the conversation is structured: https://www.skool.com/ai-systems-for-coaches/classroom/349e35ee?md=264e89ef70de48b3a6309c0fb688f07c After watching, think about this: What currently happens in your funnel between the moment someone books a call and the moment the call actually starts?

I took the qualification structure he teaches and deployed it inside an AI voice agent. The agent: – Calls leads instantly – Qualifies using BANT (Budget, Authority, Need, Timing) – Introduces price before booking – Uses binary time slots – Confirms commitment to reduce no-shows For context, BANT is a qualification framework originally developed by IBM and later popularized again in modern sales training. It ensures that before a closer ever gets on a call, the lead: • Has the budget • Is the decision-maker • Has a real problem • Has urgency The goal isn’t just to book more calls. It’s to protect your calendar and increase conversion before the sales conversation even starts. Inside the classroom you’ll find: – The full live call – My breakdown of what worked and what didn’t – The slide deck with the full framework – The original Hormozi training referenced in the lesson Full lesson here: https://www.skool.com/ai-systems-for-coaches/classroom/349e35ee?md=72c9fb30c78d464fa76688c46e40f572

Most businesses try to automate too early. AI voice agents don’t create revenue from scratch. They replicate what already works. In the new video, I break down the three non-negotiable conditions that must be true before outbound voice AI makes sense. Inside, I walk through: – Why a proven high-ticket offer matters (more than you think) – Why a validated setting script is critical – Why closing data must already be predictable Before you think about automation, pressure-test your fundamentals.

I ran a 15-day test with one outbound AI voice agent inside my previous business (before I exited) to see what happens when follow-up is executed consistently at scale. Here’s what I learned: 1. People don’t mind talking to AI.Most of the resistance is in the owner’s head, not the market. 2. A good agent is the most reliable “rep” you’ll ever deploy. It doesn’t get tired, doesn’t drift off-script, and it improves as you refine inputs. 3. Bookings are great. Connections are the hidden win. When the agent doesn’t book, it still creates signal. The sales team gets notified, tags get applied, and humans follow up warm. 4. You don’t replace your sales team. You narrow it. Less time on repetitive chasing. More time on high-quality follow-up and closing. KPIs settle the debate. Ignore opinions. Compare your current process KPIs vs the AI-assisted process. If the numbers don’t improve, it’s not “AI”—it’s a bad system. Slides + full voice agent recording (the one referenced in the video): https://gamma.app/docs/I-spent-457-on-one-outbound-AI-voice-agent-It-generated-6800-in-1-hm93hd7gbelkfwb

You can watch the full session here: https://www.skool.com/ai-systems-for-coaches/classroom/eee4e47c?md=c88638af119c4aac8a36addacabfbcdc