Human judgment.
An AI workforce.
PacificaOne is a Microsoft-first practice where a team of AI employees does the drafting and the delivery, and a person signs every decision before it becomes real.
A small practice that runs on an AI workforce, on purpose
David Brown is the human principal. He directs the strategy, decides what the practice takes on, and signs off on the work before it leaves the building.
A workforce of fifteen specialized AI employees does the rest. They draft proposals, deliver projects, watch accounts and environments, teach clients, and keep the back office honest. Each one has a single clear job and a name to go with it.
The practice is built Microsoft-first, on Copilot Studio and the Power Platform, because that is where our clients already work. Nothing here is autonomous. Every agent is registered, scoped to the smallest set of tools its job requires, and stopped at a gate before it can do anything that would be hard to undo.
The whole model reduces to these
AI drafts, a person signs
Every message, proposal, dollar, and deployment passes a human gate before it is real. An agent can write the email. It cannot send it. An agent can price the work. It cannot commit to the price. This is not a policy we intend to follow. It is how the system is wired, and it is why an agent has never sent you anything on its own.
Efficient by design
Routine, deterministic work runs on plain automation that costs almost nothing to operate. The expensive AI reasoning goes where judgment is actually needed. That keeps the practice cheap to run, and it keeps a language model from being asked to guess at something a simple rule already answers correctly.
Four steps, and a person at the end of them
Intake
Work arrives by email, by ticket, or from a system that noticed something change. It lands in one queue instead of five inboxes.
The right specialist drafts
The request routes to the AI employee whose job covers it. Fifteen employees, each with one role, each scoped to the tools that role needs.
It waits at a gate
The draft is written to a review queue at Pending Review. Nothing has left the practice. Nothing has been spent, sent, published, or deployed.
A person approves
David reads it, edits or rejects or signs it, and the signature is what makes it real. If he does not sign, it does not happen.
Five teams, fifteen employees
Growth
Finds the work, prices it honestly, and tells the practice's story.
3 AI employeesDelivery
Turns a signed scope into a working system: requirements, code, and the schedule.
3 AI employeesSupport and Success
Answers the question, watches the account, and teaches the team.
4 AI employeesAI Practice
Assesses readiness, governs the agents, and watches the environments.
3 AI employeesBack office
Routes the work and keeps the licensing bill right-sized.
2 AI employeesThree practices, one person accountable
This is the AI-agent practice. Two sister practices sit alongside it, and the same person stands behind all three.
Start with a conversation, not a demo
Tell us what you are trying to make work. If the honest answer is that a person should do the job, that is the answer you will get.