Founder Fires

800 to 1,000 workshop registrations a week. A sales team that couldn't keep up.

Coach Kelly already had a proven offer, human setters, and human closers. But keeping up with incoming leads meant more outreach and follow-up than her team could handle.

In this episode of Founder Fires, Kelly breaks down how she added CharlieAI to start conversations and follow up before her human setters step in.

Today, she says roughly 20% of workshop registrants are booking calls.

Her setters are also spending less time chasing responses and more time talking with people who have already shown interest.

But Kelly draws a clear line: deeper qualification and financial conversations stay with her human team.

We also get into how she's using CharlieAI to reconnect with tens of thousands of contacts accumulated over 13 years in business, segmenting outreach around their history and previous engagement.

In this conversation: • How CharlieAI helps her team handle weekly lead volume • Why her human setters like working with AI • Where she keeps human judgment in the sales process • How she approaches old-lead reactivation • When founders should wait before adding AI

Kelly's advice? Build a sales process that works first.

If you only have a handful of leads each week, call them. Learn what converts. Once your team can't keep up with demand, AI has a clear job to do.

As Kelly puts it, it's "pouring gasoline on what's already working."

▶️ Watch the full conversation to see how Kelly built CharlieAI into her sales process—and where her people take over.

Coach Kelly J. Behavioral Intelligence Strategist and "Coach's Coach" https://www.youtube.com/channel/UC6Vq-vCxkxCjF1GMxZtKzUA/about

Impactful Paid Coach Workshop: https://www.impactfulandpaidcoachworkshop.com/

CharlieAI — Free Demo: https://www.charlieai.io/freedemo

Most musicians learn by copying.

They copy chords. They copy styles. They copy the player they want to sound like.

But copying only gets you so far.

Vaughn Brathwaite built Gospel University around a different idea: teach people how to think, not just what to play.

And that same first-principles mindset eventually changed the way he thought about sales.

As Gospel University grew, Vaughn built a large human sales team to manage leads, follow up with prospects, and keep appointments moving.

But scale came with friction.

More reps meant more training.

More management.

More inconsistency.

More variables affecting performance.

So Vaughn started looking for a better system.

That search led him to CharlieAI.

Instead of continuing to solve the problem by adding more people, he began using Charlie AI to handle lead nurturing, follow-up, qualification, and appointment setting – the repetitive front-end work that had previously required a much larger human operation.

And that's where the economics of the sales process started to change.

In this episode, Vaughn and I unpack what happened next.

Because using CharlieAI was not simply about reducing headcount.

It was about reducing variability.

A human sales team can have great days and bad days.

Some reps perform.

Some don't.

Some follow the process.

Some drift from it.

Every additional person introduces another variable.

With CharlieAI, Vaughn could look at the system differently.

Conversations were easier to measure. Performance was easier to compare. Problems could be identified faster. Changes could be implemented faster.

And with fewer moving parts, the business could optimize without carrying the same operational weight.

The result?

A leaner sales operation that maintained, and in some cases exceeded, the performance Vaughn had been getting from a much larger team.

But this is where the conversation gets more interesting.

CharlieAI became part of a much bigger shift in how Vaughn thinks about operating Gospel University.

He didn't stop at appointment setting.

He started looking at where automation, data, and better context could make the entire business more efficient.

Today, that thinking extends into fulfillment, student engagement, and the information his team receives before speaking with a prospect or student.

AI can surface the context.

Organize the data.

Track engagement.

Prepare the brief.

So when a human steps into the conversation, they're not starting from zero.

They can focus on the part that actually needs them.

Judgment.

Connection.

Problem-solving.

Conversation.

And that distinction matters.

Because for Vaughn, the goal was never simply to remove humans from the process.

It was to stop wasting human capacity on work that a system could handle better.

That's where CharlieAI becomes the leverage.

And one of the strongest ideas from this conversation is something every founder thinking about automation should understand:

CharlieAI is only as effective as the thinking you put behind it.

If your sales process is vague, the system has less to work with.

If your instructions are unclear, your conversations will reflect that.

If you don't understand the outcome you want, automation won't magically create clarity for you.

Better inputs create better outputs.

And in that sense, implementing CharlieAI forced Vaughn to become even more deliberate about how Gospel University's sales process actually worked.

What should happen first?

What makes a lead qualified?

What context matters?

When should a human step in?

What should be automated, and what shouldn't?

That thinking is what makes the technology useful.

Vaughn also shares a practical framework for founders who want to bring AI into their business without trying to automate everything overnight.

Not more automation for the sake of automation.

Not more software for the sake of software.

A better system.

That's really what this episode is about.

Because scaling doesn't always mean hiring another salesperson.

Sometimes it means questioning why that salesperson is doing the task in the first place.

It means removing friction.

Reducing variability.

Improving how information moves.

And making sure your people spend their time where human judgment actually creates value.

Vaughn built Gospel University by teaching people to think beyond imitation.

Now he's applying that same philosophy to the way he builds with CharlieAI.

Understand the system. Remove what slows it down. Then scale what works.

If you're running a sales team, considering an AI appointment setter, trying to improve lead nurturing and follow-up, or looking for a more scalable way to work the leads already entering your business, this conversation gives you a practical look at how Vaughn is doing exactly that with CharlieAI.

Watch the full conversation to hear how he approached the shift, what changed inside Gospel University, and where he believes AI creates the most leverage.

What if the revenue you're chasing is already sitting inside your CRM?

Most businesses keep spending more on ads, buying more leads, and pushing their sales team harder.

Meanwhile, thousands of old leads are sitting untouched.

In this episode, I show you exactly how I'd go after 177,000 dormant leads using CharlieAI and why the answer isn't more setters or more ad spend.

One reactivation campaign generated 122 bookings in a single day. It filled the calendar so fast they had to shut it off.

That's the opportunity most businesses are missing.

Your leads aren't always dead.

They're just not being followed up with long enough.

I walk through the exact three-phase system I'd use to reactivate old leads, recover no-shows and cancellations, cover the gaps your team can't keep up with, and turn your pipeline into a system that keeps working every lead.

📌CharlieAI doesn't get tired. 📌CharlieAI doesn't forget. 📌CharlieAI doesn't stop following up because the team got busy.

And when you already paid to acquire those leads, every ignored conversation is potential revenue sitting still.

Before you spend another dollar getting more leads, ask yourself one question: How much money is already sitting in your CRM?

If you're ready to stop letting good leads go cold, watch the full video to see exactly how I'd work those 177,000 leads with CharlieAI, then book a demo at charlieai.io and see what CharlieAI can do inside your pipeline.

Most founders do not have an AI problem.

They have a broken sales process that AI exposed.

This year, our sales department collected $5.1 million in cash, booked 5,020 calls, and closed 684 deals with just eight human closers.

No human setter team.

This AI setter handled almost everything before the sales call.

In this episode, I break down the actual numbers behind the system, including the four KPIs we track to determine whether AI is producing revenue or just creating activity:

→ Response rate → Response-to-CTA rate → Lead-to-CTA rate → Lead-to-book rate

I also explain why a few lost leads during AI training are not always a red flag. Sometimes it is simply the cost of building a system that can eventually handle thousands of conversations without adding more headcount.

The bigger mistake is automating a process that has never worked manually.

If your offer is unclear, your messaging is weak, or your team has no consistent follow-up process, AI will not hide those problems.

It will expose them faster.

In this video, you will learn the manual-first framework we use before automating, the benchmarks we use to evaluate AI sales performance, and the exact line between what humans should still handle and what AI should take over immediately.

Humans should close.

AI should qualify, follow up, nurture, confirm, re-engage, and move leads through the pipeline.

If your business generates 1,000 or more leads per month and people are still doing that work manually, you are not protecting the customer experience.

You are paying humans to do work a system should already be doing.

Book a free Charlie ai demo at ➡️ https://www.charlieai.io/freedemo and see how Charlie ai can plug into your sales process.

Earn a damn good living. Leverage AI. Have business on your terms.

Your sales team is the last unpredictable variable in your entire revenue engine, and it's costing you more than you think.

Your ads are running.

Your AI appointment setter is booking the calls.

Your lead management system is working on the pipeline.

But if your closers are showing up without a daily system, skipping script drills, ignoring film review, and leaving pipeline money on the table, your revenue operations will never be truly predictable.

The problem isn't your offer or your high-ticket sales funnel.

It's that you've never operationalized what your closers do between calls.

$1M/month for three straight months.

In this episode, I break down the exact closer checklist behind it, and the framework I'm using to scale it to $1.5M by Q3.

What you'll learn: ✅Why new closers must drill the script out loud 10 times a day and how it builds the conviction that closes high-ticket deals faster than any technique

✅My 3-step film review method (audio only → video only → combined) that exposes the hidden leaks in your sales conversion rate

✅How I turn a pipeline into a structured daily revenue activity: confirmations, no-show follow-ups, referral check-ins, and case study drops

✅Why the gap between an amateur and a master closer comes down to subconscious processing, and how to systematically close that gap on your sales floor

✅The Monday–Friday management cadence I run to keep my entire sales team performing at a predictable, forecastable level

Comment 𝗖𝗟𝗢𝗦𝗘𝗥 below, and I'll send you the exact closer fundamental checklist we use across our 8-figure portfolio.

Want the full AI lead management system and revenue automation platform behind $1M+ months?

Book a demo at ➡️➡️ charlieai.io

Not subscribed yet?

We document real numbers, real mistakes, and real systems behind building 8-figure companies with AI, hit subscribe so you don't miss what's coming next.

I am going to be straight with you.

If you are generating inbound leads right now and you do not have a system managing every single stage of your pipeline, you are bleeding money.

Most businesses are not losing sales because their ads or closers are failing.

They are losing them in the gaps between a lead entering the pipeline and actually taking a sales call. Applications are abandoned.

Calls are canceled.

No-shows are never rebooked.

Old leads sit untouched.

Qualified prospects disappear after saying, "Let me think about it."

I have been documenting how we fixed those gaps in real time.

Year to date, the company I have been building on this channel has collected $4.3 million in cash from $850,000 in ad spend, with zero human setters.

In this video, I am breaking down exactly how that system is built.

Here is what you are going to walk away with:

• The exact 5-stage pipeline map I use to deploy Charlie AI inside a high-ticket sales process

• Why most people plug in AI and get zero results, and what separates them from the businesses actually seeing a return.

• How my team averages a 25% lead-to-book rate while most businesses sit closer to 10%

• The specific agents I have running at each pipeline stage, from no-show rebooking and database reactivation to NPS referral generation

• How to know whether your business is actually ready for AI, and what to focus on first if it is not

Want the exact playbook I use to map out and prime a sales pipeline for AI?

Comment "PLAYBOOK" below, and I will send it straight to you.

Ready to plug Charlie into your pipeline? Book a demo at charlieai.io

If you are not subscribed yet, what are you doing?

Hit subscribe and follow along as I document the process of building a real eight-figure company powered entirely by AI setters!

Most founders celebrate a great month.

The best founders predict it…

90 days in advance, down to less than 10% variance. Here's exactly how we did it!

In December 2025, we built a single spreadsheet that forecasted we'd collect $1M last March.

We hit $1.1M.

That's not luck…

that's the difference between running a business on feelings versus running it on math.

In this video, I break down the bulletproof revenue forecasting formula behind one of his portfolio brands scaling from $165K/month to over $1M/month, and the exact four inputs that make it work.

You'll learn about the $100K communication mistake that nearly derailed everything, and how one simple weekly habit keeps the entire operation on track.

If your revenue feels unpredictable, inconsistent, or impossible to scale…this is the video that changes that.

If you're serious about hitting consistent revenue records, not just for one great month…

this framework is your starting point.

Like, subscribe, and drop a comment with your biggest forecasting challenge.

And if you want access to the actual Revenue Forecast Calculator we use, book a free demo at charliei.io

Damani fired his entire sales team in 2024. Two months later, he was back to six-figure months as a team of one.

This conversation pulls back the curtain on how a drum coach went from selling $20/month memberships to closing $80K months with zero salespeople on payroll.

You'll hear the exact moment he realized his sales team was the bottleneck, not the solution, and why most founders are funding the wrong side of their business.

He breaks down the pricing pivot that 15x'd his revenue per customer overnight, and the AI workflow that now runs his entire pipeline while he sleeps.

If you're still hiring setters, closers, or VAs to patch leaks in a broken system, this episode will save you six figures and eighteen months of pain.

If you're still bleeding revenue on a sales team that can't close consistently, stop.

Watch this all the way through, then check the link below to see how Charlie can run your pipeline the same way it runs his.

The founders who move first are the ones eating in 2026.

I was leaking $620,000 a month out of my sales pipeline and had no idea.

I gave this keynote at SalesCon this year and broke down the film I finally sat down and watched on my own business.

The 5 places revenue was hemorrhaging out of my pipeline every single day. The three lies I believed about AI that kept me stuck for years. And the simple math that proved my sales team wasn't the problem. My system was.

This is the exact breakdown that took one of our brands from $2.2M in all of 2025 to $2.7M in the first 3.5 months of 2026. Same offer. Same market. Zero human appointment setters.

If you've ever felt like you're leaving money on the table or like scaling what you're doing is going to burn you out, this one's for you.

The 5 revenue leaks costing high-ticket businesses six figures a month

The back of napkin math to calculate your own pipeline leak in under 60 seconds

The three lies about AI I had to kill before I could scale

The Buyer IQ framework that weeded 91% of bad fit leads off my calendar

The five agent architecture I run across every business I build

How we went from 2 closers to 8 and did $2.7M in cash collected without a single human setter?

If 80% of your sales process depends on humans, you're losing money you don't have to lose.

Stop pouring water into a leaky bucket.

Book a no-pressure demo with my team to see if Charlie is a fit for your business: https://demo.ai-setters.com/optin---lead-management

Earn a damn good living. Leverage AI. Have business on your terms.

$165K a month to $1.1M cash collected. Same business. Same offer. One playbook.

In this episode, I break down the exact system we used to 7x a portfolio company's monthly cash collected in under 90 days. Not revenue.

Not pipeline. Cash in the bank. We spent $160K on ads to collect $1.1M, a near 10x return on cash that most founders chase for years and never hit.

You'll see why revenue ROAS is a vanity metric, why scaling from $1M to $2M overnight is the fastest way to sabotage everything you just built, and the four-stage optimization sequence we run before we ever touch the scale button.

I walk through the AI lead management playbook we deploy across the sales pipeline, the 8-figure optimization framework (audience verification, message optimization, conversion optimization, scale), and the altitude sickness problem nobody warns you about when you finally crack the code.

Stop letting human setters bottleneck your pipeline.

If you're doing $50K+ a month with cold traffic, Charlie's AI setter can do what mine just did, produce sets that turn into closed cash, not just booked calls that ghost.

Watch this before you spend another dollar trying to scale.

Book your Charlie demo at charlieai.io before your competitors deploy this on you first.

Earn a damn good living. Leverage AI. Have business on your terms.