Your best people are running the business when they should be building it.
We design AI employees with a defined role, a real workflow, and a clear scope, then hand them over for you to own outright. They take on the work that eats your launches, your support queue, and your back office, so your people can finally build the brand instead of running it.
For DTC brands doing $1M to $10M in revenue.
A recent build now automates 27% of a client’s support and hands back over five days a year.
Most AI builds stop at the model. That’s where ours start.
The model is smart, but on its own it does not know your business, cannot do a specific job, cannot act in your tools, and never learns from the work. So everything loops back to a human. A real AI employee has four layers, and all four have to be in place.
Brain
What it knows about your business. Built on Claude and loaded with your voice, products, processes, customer history, and operating rules. This is what turns a generic model into your teammate instead of a stranger reading off a script.
Skills
What it actually does. Not help with marketing, but write the post-launch email flow, or triage refunds during a drop. The tighter the skill, the better it performs, because the work it owns is unambiguous.
Tools
Where it can act. Your CRM, your help desk, your Slack, your inventory and reporting. Without tools an employee can think but cannot do, and the work stays on a human’s plate.
Memory
How it learns. Every run and every correction sharpens it, so the longer it works for you the more valuable it becomes. A rented tool resets. An employee compounds.
A demo has the model. An employee has all four layers.
1 sample build
Named. Scoped. None off the shelf.
A subscription rents you a generic bot that posts off-brand and stops the day you cancel. Each AI employee we build is named, scoped, slotted into a real workflow, and yours to keep. Here is a sample deployment: five humans, twelve AI employees, one operating system.
- Scheduled employees run on a clock, before your stand-up
- On Demand employees deliver the moment you ask
- Triggered employees act when a threshold is crossed
What one build delivered in its first year.
Start with a Map. Build a workforce. Grow the system.
Each engagement maps to a phase of the method. Start where the leverage is.
A department-by-department audit of where your team is losing hours, and a ranked AI roadmap with the ROI math behind each build. If you continue to Build, your Map fee credits toward it.
The Map plus three to five AI employees designed around your operation, deployed in production, and handed off with a custom Operating Manual. Your Map fee credits toward this engagement.
Ongoing partnership for businesses already running on infrastructure we built. Monthly tuning, new builds, and strategic guidance as you grow.
Book a 45-minute strategy call.
By the end you’ll know whether AI infrastructure would create leverage in your business in the next 90 days.
Book a strategy callEngagements require a Claude Team or Enterprise account. We can help you set one up before kickoff.
We don’t deploy AI. We architect it in.
You are not buying an AI tool. You are hiring an entire layer of your workforce. The Lasting Method is the five-phase build that finds where they belong, installs them, and hands them off to the humans who manage them.
We map where your team is losing hours. Department by department. No assumptions.
We rank the AI opportunities by ROI. You see what we’d build, in what order, and why.
We design, train, and install the AI employees. Production-ready, in real workflows.
We hand them off with a custom Operating Manual. Your people own them.
We stay. Monthly tuning, new builds, strategic guidance. The infrastructure compounds.
Not every brand should hire us.
We’re not the right firm for everyone. Here’s how to know.
01 We won’t build something nobody will own.
Every AI employee we install belongs to a human on your team. If you don’t want to assign ownership, scope role boundaries, or have your people manage the build, we’re the wrong firm. AI without a manager becomes shelfware. We refuse to build shelfware.
02 We won’t help you cut headcount.
We’re hired by founders who want to grow without proportional hiring, not founders who want to thin their team. If the goal is fewer humans, the goal is wrong. The goal is to put humans on better work.
03 We won’t sell you a chatbot and walk away.
A single AI build with no architecture, no methodology, and no handoff isn’t AI infrastructure. It’s a demo. We don’t do demos. We don’t do one-offs. We do engagements that hand you a system your team will run for years.
We work with businesses that intend to last. The name should make that obvious.
Before you book the call.
A few things founders ask before they engage. Everything else, we’ll cover on the call.
Book a strategy callHow is this different from an AI agency or a freelance consultant?
Most agencies sell you a deliverable: a custom GPT, a workflow automation, a single AI build. When it’s done, they leave. You’re left with software you don’t know how to maintain.
We don’t sell deliverables. We install AI employees inside your operation, train your team to manage them, and stay on through Grow if you want the infrastructure to keep evolving. Agencies finish projects, we install workforces.
Why not just use a cheaper AI tool or subscription?
Subscription tools hand you a generic agent that you rent. It works off a template, posts in a voice that is not quite yours, and the day you stop paying it stops working. You never own it, and it was never built around how your brand actually operates.
We build employees scoped to your real workflows, trained on your voice and your data, deployed across marketing, support, operations, and finance, then handed to you to keep. A tool is something you rent. An employee is something you own.
What happens to our AI employees if Claude changes or breaks?
Every AI employee we build is documented as if it were a person you’d hired: its brain, its skills, its tools, and an operating manual. Claude is the model that does the thinking, but the layers we build around it, all trained on your business, are yours.
If a model changes meaningfully, the architecture moves to whatever model performs the work best. The skills, knowledge, and workflows stay the same. Model dependency is a feature of bad AI infrastructure, not ours.
Do we really own the AI employees after the engagement ends?
Yes, completely. The prompts, the project files, the operating manual, the documentation, all of it belongs to you. We don’t license, we don’t rent, we don’t gate access.
When the engagement ends, you can run the AI employees, extend them, hand them to a new hire, or hire a different firm to build the next layer. That’s the structural definition of infrastructure: you own the asset.
How much of my team’s time does the engagement take?
Across an 8 to 12-week Build, expect about four hours per week from a designated point person, plus a 90-minute kickoff and three 60-minute reviews along the way. We don’t pull your team into endless meetings or ask them to do the work for us.
We do need access to your tools, your SOPs, and your team for short interviews. Most of the work happens on our side.
Is the 8 to 12-week Build timeline reliable?
Yes. The range reflects scope, not delivery uncertainty. A simpler scope lands closer to 8 weeks; a broader scope lands closer to 12.
We scope the timeline in Map. By the end of Map, you have a fixed window and a fixed price. We don’t quote ranges after that.
What determines where we land in the price range?
Three things: how many departments we are building for, how deep the workflows go, and how many of your systems each employee has to act inside. A single scheduled employee that drafts in one tool sits at the low end. A connected workforce acting across your CRM, help desk, and inventory sits at the high end.
You are not paying per employee. You are paying for an owned system sized to your operation. We set the exact scope and price in Map, so the range disappears before you commit to Build.
What happens on the strategy call?
It’s a 45-minute call. We ask about your operation, where work is piling up, and what you’ve already tried. By the end, you have a clear answer to one question: whether AI infrastructure would create leverage in your business in the next 90 days.
If yes, we’ll talk about which engagement fits. If no, we’ll tell you that directly. The call is not a pitch.
Field notes on AI infrastructure.
Stop running the business. Start building it.
A 45-minute call. No pitch. By the end, we’ll both know.
Book a strategy call