01
The Company Brain
Seven plain markdown notes, in your own cloud, that hold how your company actually operates. Every system we build reads from it. You approve what goes in. Nothing becomes memory because a model felt like it.
03 Adopt · Implementation
A working system. Inside the tools you already run.
Implementation is the build. Chris builds the system from the roadmap into the stack your team already opens every morning, proves it works with tests instead of vibes, runs it alongside your people until they trust it, and hands you the keys. You own it from day one.
You own it. The code sits in your repository. The knowledge base sits in your cloud, not ours. If you fire us tomorrow, everything keeps running, and the next person can read all of it.
2 to 4 weeks
Per module, not per project
Your stack
Your repos, your cloud, your keys
Proven
Evals gate it, not a demo
What's inside
What you actually get.
02
The module, built into your stack
The system from the roadmap, running inside the tools your team already opens. Not another app to log into and forget. If your work happens in a CRM, the work happens in the CRM.
03
The eval suite
Tests that grade the system's judgment, not just its code. We prove it works before you are asked to trust it. From then on, every complaint your team makes becomes a test that can never quietly come back.
04
The human checkpoints
Every irreversible action stops and waits for a person: money, sending, deleting, publishing. The system drafts, organizes, and surfaces. Your team decides and signs. That line is drawn on purpose, and it is drawn in code.
05
The handoff document
What the system does, what it does not do, and what to do when it does something surprising. Written for whoever inherits it. This is the part consultants skip so you have to keep calling them.
06
The training and the monitored rollout
We run it next to your team on real volume until they stop asking us how it works. A system nobody trusts is shelf-ware, no matter how well it tests.
How it runs
The shape of the work.
01
Build
- The Company Brain goes in first. Everything downstream reads from it.
- The module gets built into your existing tools, not beside them.
- Chris embeds with your operators, not just with leadership.
02
Prove
- Every dollar figure is computed by code, never by a model.
- The eval suite runs against real cases from your operation, including the ugly ones.
- Nothing goes live on a vibe. It goes live on a passing gate.
03
Adopt
- The system runs in production alongside the team while we watch it.
- Edge cases get found in the open, then written down as tests.
- Training happens on your real work, not on a sample dataset.
04
Hand off
- You get the keys, the repo, the docs, and the brain.
- We write down what breaks it and what to do about it.
- The disappearance is supposed to be clean. That is the whole point of this phase.
The build doctrine
Nothing ships without four things.
Harness it. Give it memory. Loop it with a stop. Prove it with evals.
Harness
Can it be controlled?
The instructions it runs on, the tools it is allowed to touch, the authority it has, and the rails around all of it. An agent without a harness is a rumor. This is written down before anything gets built.
Memory
Does it know what it needs to?
Three kinds: how to do the work, what is true about your company, and what happened last time. Plus a gate, so the true-facts layer stays short and current instead of growing into a landfill.
Loop
Does it know when to stop?
Every loop gets an end condition, and every irreversible step gets a human in front of it. Sending, spending, deleting, publishing. The system drafts and organizes. Your team decides and signs.
Evals
Can we prove it works?
An eval is a test that grades the system's judgment, not just its code. Deterministic checks first, then a model judging the fuzzy parts, then a gate that blocks a fix from shipping until it passes.
Fit
Is this the right fit?
Right for you if
- You know what the first build is, either from a roadmap or from pain you can already describe precisely.
- You want the system in the tools you already run, not a new platform to migrate onto.
- You want to own the code and the knowledge, and you have been burned by a vendor who kept them.
- You want proof it works before it touches a customer.
Maybe not yet if
- You have no idea what to build yet. Start at Discover or Build. We can map as we go, but you pay for discovery either way.
- You want a chatbot on your website. That is not what this is.
- You want us to hold the keys so you never have to think about it. We build the opposite of that on purpose.
- You want it fully autonomous with nobody signing anything. Not here.
The ladder
Where the Implementation fits.
Four phases, one spine. You can start on any rung, and plenty of operators only ever use one.
01 Discover
AI Readiness Workshop
Get the owner and the team on the same page about AI, and leave with a plan you can start this week.
02 Build
Solutions Roadmap
Map the real workflow, do the math, and get a build-ready plan you can hand to anyone.
03 Adopt
You are hereImplementation
A working system inside the tools you already run, owned by you and adopted by your team.
04 Compound
Growth Partnership
An AI operator embedded in your business, shipping the next system while the last one pays for itself.
Questions
Answered plainly.
What does AI implementation actually include?
A knowledge base in your cloud, a working system built into the tools you already run, a test suite that proves the system's judgment, human checkpoints in front of anything irreversible, a handoff document, and training your team on real volume. It ends with you holding the keys.
Who owns what we build?
You do, from day one. The code lives in your repository. The knowledge base lives in your cloud. The accounts are in your name. There is no version of this where the system stops working because you stopped paying us.
Do I have to change the tools my team uses?
Almost never. The system gets built into the stack you already run. Asking a team to move to a new platform and trust a new system in the same month is how both get abandoned.
How do you know the system works?
Evals. An eval is a test that grades the AI's answer, not just whether the code ran. Deterministic checks handle anything with a number in it, a model judges the fuzzy parts against a written rubric, and a gate blocks the change from shipping until it passes.
How long does a build take?
Two to four weeks per module. We build modules, not projects, because a module ships, gets proven, and starts paying while the next one is being built. A six-month project that lands all at once is a bet, not a plan.
What happens if the AI gets something wrong?
It gets caught at a checkpoint, or it becomes a test. Anything irreversible waits for a person, so a wrong answer costs a correction rather than a customer. Then the failure gets written into the eval suite so that exact wrong answer cannot come back.
Is there a guarantee?
Yes. Month one is fully refundable. If the first month does not land, you get it back. No conversation needed.
Read next
The thinking behind it.
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How to Automate Workflows Without Hiring
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CRM Automation for Contractors: What to Automate First
CRM automation for contractors: what to automate first, how to stop losing bids to slow follow-up, and why workflow design matters more than which platform you pick.
Strategy
Own Your Intelligence Before the Models Get Gatekept
Why business operators should build portable markdown knowledge bases before relying too heavily on any one AI model, platform, or vendor memory layer.
Get started
Ready to see what's slowing you down?
Book a 30 minute call. We find the one place your work waits on you, and you get a straight answer about whether AI is the fix. No pitch, no deck.