Sales · Demo
Sales Call Analyzer
A Fathom call goes in. The AI returns whether it closed, the cash collected and the one thing to fix.
Pre-call briefing
See what we install, before we talk.
In 30 days we install an AI operating system that runs the majority of your agency's fulfillment, sales and operations. This page shows every piece of it: the walkthrough, the process, the agents and the proof. Watch the parts that match your bottlenecks, and the call gets specific fast.
Nathan walks through the system he runs his agency on. 12 minutes.
What you leave the call with.
- 01
Your automation map: every workflow in your agency ranked by return.
- 02
Hours and dollar figures attached to each opportunity.
- 03
Your first 30-day build order.
- 04
An honest read on fit. We turn away agencies this won't work for.
30 minutes on Google Meet, usually within 48 hours.
Installed in 30 days. Then we stay.
01 · Usually within 48 hours
Audit call and automation map.
We map every workflow in your agency and rank it by what automating it is worth.
Outcome Most owners leave with 15 to 20 hours a week of reclaimable time identified before we build anything.
02 · Days 1 to 30
Done-for-you install.
We deploy your first 3 to 5 highest-return agents, built around how your agency delivers, not white-labeled software bent to fit you.
Outcome Installed and running in 30 days.
03 · Month 2 onward
Your fractional AI department.
A dedicated developer we recruit, train and manage builds whatever you think of next.
Outcome Priority calls every two weeks. You own the software. We handle the developer.
04 · Every 90 days
AI evolution.
Your developer stays in our training ecosystem as new models and tools ship, and every 90 days we review what to add.
Outcome AI changes every 90 days. We keep you ahead of it.
What we need from you
Your API keys and logins, a few of your SOPs, and one call. We build it, connect it to the tools you already use, and launch it.
What you own
100% of the code, the GitHub repo, the servers and the accounts. If we ever part ways, it keeps running.
Every install starts supervised. The AI asks for one-click approval until it earns its autonomy.
Your agency isn't stuck because you can't sign clients. It's stuck because fulfillment is eating you alive.
You know the loop. You sign clients, drown in delivery, pull back on sales, lose a client, then ramp sales again. Most owners try to escape it with a developer who has no idea what he's building, because the owner doesn't know either. We've already built it. We install it.
What we install into your agency.
Seven departments. 26 agents. One question for the call: which of these bottlenecks is yours?
Marketing
4 agents
Organic Content Ideation and Scripting Bot, Social Media Post Generator
Sales
9 agents
Voice AI Agent, Sales Call Analyzer
Video
Onboarding
2 agents
Client Onboarding Agent, Intake Form and Data Collection Bot
Fulfillment
3 agents
AI Customer Success Manager, Deliverable Generator
Retention
3 agents
Churn Prediction Agent, Review and Testimonial Agent
Operations
3 agents
AI Executive Assistant, Billing Agent
Video
Custom Software and Founder Cloning
2 agents
Custom Software Build-Outs, Clone the Founder
Video
Where you see a video, that agent is running in our own agency or a client install.
Watch them run
Operations · Demo
AI Executive Assistant
A 9:30 briefing that reads Slack, email and client messages, then drafts the replies for one-click send.
Custom Software · Demo
Clone the Founder
An AI trained on Nathan's SOPs and calls, answering his team's questions in his voice.
Custom Software · Demo
The custom software tour
A tour of the internal software Nathan runs his agency on, from dashboards to the fulfillment bot.
We run our own agency on this.
We're not selling you anything we don't use ourselves.
When Nathan's agency hit $100K a month, payroll was $100K a month too, with 18 people on the team. He rebuilt it around this system and now runs at 73% margins.
One client cut $22K a month in payroll to under $3K within 30 days, with the same output.
This works outside agencies too, but agencies are who we built it for.
Case file · Marketing agency, 9-person account team
Client reporting was eating 40+ hours a week.
- Problem
- Client reporting ate 40+ hours a week across the account team.
- Built
- An automated reporting agent pulling from ad platforms, the CRM and analytics.
- Day 30160+ hours a month recovered.
- Day 60Margins up from 24% to 38%.
- Day 90Margins at 42%, with no new hires and no new clients.
Fit
Built for:
Agencies doing $30K a month or more that are signing clients and hitting the fulfillment wall or the acquisition wall.
Not for:
Agencies under $30K a month, anyone looking for a magic button, and owners who want to spend six months learning AI themselves. If that's you, we'll tell you on the call and part as friends.
3 things that stop owners from getting this right.
Every failed AI implementation traces back to one of these.
Buying tools instead of building systems.
Tools need people to run them. Systems run without intervention. Most businesses buy AI tools, then spend hours every week prompting, fixing and maintaining them. That is not automation. It is a new job on your team's plate. We build systems that run, not tools that need babysitting.
Hiring a developer with no business context.
Most AI developers are excellent at the technical side. Building something a real team adopts under real pressure takes business judgment, not just code. The specialist we place is trained to build for business outcomes. That is why what we build gets used.
Outsourcing without building internal capability.
The worst outcome in AI is a dependency. If the agency leaves or the developer quits and nobody knows how your systems work, you start from scratch. Every decision we make moves capability into your business, not away from it.
Why this is happening now.
About 57%
of US work hours could, in theory, be automated with technologies that exist today.
McKinsey Global Institute, "Agents, robots, and us", November 2025
Up to $4.4T
a year in value that generative AI could add to the global economy.
McKinsey, "The economic potential of generative AI", June 2023
About 40%
of Block's staff were cut in February 2026 as it moved to smaller teams using AI.
SF Standard and Fortune, February 2026
The cost of thinking about it.
Every month you wait costs roughly what the roles you're still paying for cost. For most agencies, that's $15K to $25K a month.
Your niche won't wait.
Somewhere in your niche, an agency your size already runs on this. The window to get ahead is about 12 to 18 months.
Limited installs each month.
Every install is hands-on, so we take a limited number of agencies each month.
Questions we get before the call.
I already hired a developer and it went nowhere. How is this different?
You're not hiring a developer to invent something. You're plugging into a team that has already built and installed this system. Knowing how to build isn't enough; the difference is knowing what to build. That's why our installs take 30 days, not four months.
Why can't I just build this myself?
You can. You're probably already trying: a dozen AI tabs open, and someone on your team who touched ChatGPT once is now the AI guy. Doing it solo takes most founders months and usually ships something half-working. Your job is knowing what your agency needs. Ours is knowing what to build, and building it in 30 days.
Can AI actually replace team members?
For specific, repeatable tasks, yes. For judgment calls, relationships and creative direction, no. The goal is to free your best people from work that doesn't need them, and to replace the next hires you were about to make.
Do I have to let people go?
No. Nobody has to get fired. If you keep the same headcount and take on more clients, the difference is profit.
Do I have to migrate off ClickUp, GoHighLevel or Monday?
Nothing gets ripped out on day one. We integrate with your existing tools first, and you retire them on your own timeline as the system proves itself.
What is an autonomous AI agent?
A system that takes a goal, breaks it into steps, uses your tools (email, CRM, documents, APIs) and finishes the job without someone prompting it at every step. Unlike a chatbot that only answers, an agent starts actions, checks the result and adapts.
What makes this different from just using ChatGPT?
ChatGPT is a tool: someone has to sit there and prompt it. What we build is infrastructure. It runs on its own inside your workflows, trained on your business data, and completes multi-step work without anyone typing. It's the difference between a calculator and an accountant.
How do you actually set these agents up?
We handle everything from scoping to build to testing. Your first 3 to 5 agents go live within 30 days, integrated into your existing tools. No new tech stack and no learning curve for your team. We deploy, monitor, and don't move on until results are measurable.
My agency is too unique for this.
It's the most common thing we hear. The niche is always different. The bottlenecks (delivery, reporting, onboarding, follow-up, client communication) are always the same. That's why this installs in 30 days.
What if the AI makes a mistake?
Every installation starts in supervised mode. The AI flags each action for human review before it runs, and your team approves or rejects it with one click. As workflows prove reliable, you open the gates. The AI earns its autonomy the way a new hire would.
Is this secure enough for my client data?
We build with strict data isolation and scoped permissions by default, so every agent only touches the data its task needs. We run our own agency on the same infrastructure, financial data and client information included, and the servers and accounts are yours.
Who owns what you build?
You do: 100% of the code, the GitHub repo, the servers and the accounts. If we ever part ways, it keeps running.
What does it cost?
Every install is mapped to your agency, so the number comes out of the call. You'll know it before you commit to anything.
Who is this not for?
Agencies under $30K a month, anyone looking for a magic button, and owners who want to spend six months learning AI themselves. If that's you, we'll tell you on the call and part as friends.
Will this actually grow my revenue?
Nathan's honest answer: "I'm not saying that we'll make you a hundred thousand dollars in your next thirty days. What I'm saying is every agent I already built and showed you live is what you will get." The system removes the capacity ceiling and plugs the leaks in your pipeline. What you do with the room it creates is up to you.
Haven't booked yet?
Pick a time. We review your agency before the call, so we come in prepared. You leave with your automation map whether you work with us or not.