How Agency Growth Uses Claude
We run our own company on the same discipline we sell. Here is the system, what starts it, what it reads, where a human signs off, and what comes out.
Why we are showing you this
Most companies that set up AI for a living do not use it to run their own operations. We do. Agency Growth runs on a custom Claude-powered build that acts as our system of record. It is not a demo environment. It is where our prospects, opportunities, and clients actually live.
This page is a walkthrough of that system. Not a pitch, not a case study with invented numbers. Just what the system is, what triggers it, what information it uses, where a human reviews, and what it produces. If we propose a setup for your company, this is the discipline behind the proposal.
The system of record
The foundation is a set of structured schemas: one for prospects, one for opportunities, one for clients. Every record follows the same shape. Claude does not guess what a prospect is or where a deal stands. The schema defines it, and every workflow reads from and writes to those definitions.
This matters more than it sounds. When the data has a fixed structure, the outputs are consistent. A pipeline review this month looks like a pipeline review last month. A client record opened by anyone on the team reads the same way. The structure is what makes the AI dependable instead of impressive-once.
What starts the work
Work in the system starts from defined triggers, not from someone remembering to open a chat window. A new inbound inquiry creates a prospect record. A qualified prospect becomes an opportunity. A signed agreement converts an opportunity into a client. Each transition kicks off the workflows attached to that stage.
Recurring work runs on a calendar. Dashboards refresh on their own cycle. The monthly close packet assembles at the end of each month. The operator does not have to ask for these things. They show up because the system knows when they are due.
What information it uses
- The structured records themselves: prospects, opportunities, and clients, each with defined fields and history.
- Our SOPs, written as documents Claude can read and follow, so procedures run the same way every time.
- Playbooks built through our reference-ingestion process, which turns source material (books, courses, internal notes) into structured, reusable guidance.
- Prior outputs: past proposals, past close packets, and past decisions, so new work is consistent with what came before.
Where the human reviews
The system does not approve its own work. Anything consequential moves through a decision packet: a structured summary of the situation, the options, the recommendation, and what happens next. The packet goes to the operator, a person, who approves, edits, or rejects it before anything ships or changes state.
This is the single most important design choice in the build. Claude drafts, assembles, and recommends. The operator decides. Proposals do not go out without a human reading them. Records do not change stage without a human confirming the change is real. The gate is not a formality. It is the control that lets us trust everything upstream of it.
What it produces
- Live dashboards over the pipeline and client base, built from the structured records rather than from someone's memory of where things stand.
- Proposals generated from the opportunity record and our SOPs, drafted by Claude and reviewed by the operator before they are sent.
- Monthly close packets: a structured end-of-month assembly of what happened, what moved, and what needs a decision.
- Playbooks from the reference-ingestion process, which compound over time. Every ingested source makes the next piece of work better informed.
- Decision packets themselves, which double as a written trail of what was decided and why.
What this means for your setup
The system we would build for you follows the same pattern: structured records for the things your business runs on, defined triggers instead of ad hoc prompting, SOPs the AI can actually follow, and human approval gates on everything consequential. The tooling is adapted to your business. The discipline is not negotiable, because the discipline is what makes it work.
The first deliverable is always the Implementation Plan: a written map of your workflows, where Claude fits, where your people stay in the loop, and what gets built in what order. It is the same document we would want before touching our own system.
Frequently Asked Questions
Is this a product you sell?
No. It is our internal operating system, and we show it as proof of method. What we sell is the setup and implementation of a system shaped to your business, starting with an Implementation Plan.
Does Claude run your company on its own?
No. Claude assembles, drafts, and recommends. Every consequential action passes through a decision packet that a human operator approves. The human gate is a permanent part of the design, not a training-wheels phase.
Would my company's system look exactly like this?
The pattern would be the same: structured records, defined triggers, SOPs, and approval gates. The specifics (which records, which workflows, which outputs) come out of your Implementation Plan, because they depend on how your business actually runs.
How long has this been running?
It is the live system we operate the company on today, and it grows as we add SOPs and ingest new reference material. Like any working system, it is maintained and extended continuously rather than finished once.
Start with an AI Implementation Plan
Before building anything, Agency Growth maps how AI could be used inside your business.