Sam Brown
AI middleware for operators
Your company runs on Google.
Your team makes high-stakes decisions every day with incomplete information.
I build the AI layer that fixes that —
so the right information shows up before you ask for it.
Not a tool.
An intelligence system woven into how your organization operates.
3 principals. Lean team.
- → Automated financial intelligence
- → AI-extracted action items from every meeting
- → Morning brief delivered daily
The Documented Problem
Most enterprise AI doesn't fail because the technology is wrong.
It fails because nobody uses it.
- 73% of CEOs say their AI strategy is causing stress or anxiety — 38% report "high or crippling" stress
- 48% of executives admit AI adoption has been a "massive disappointment" — up from 34% the year before. It's getting worse.
- 29% of employees actively sabotage their company's AI strategy (44% of Gen Z)
This is your reality, scaled down.
Without an IT department to buffer you from it:
A $250K AI deployment with 10% utilization = $225K of executive payroll you could have made instead.
67% of executives believe their company has already suffered a data leak from an unapproved AI tool. Without IT scale, you find out from a client.
29% of employees sabotage AI strategy. 44% if they're under 30. The analyst you bought that tool for is not using it.
The pattern: the AI you buy gets sabotaged, leaked, or ignored — unless adoption is architected before the technology is.
What This Is
An AI operating system —
a full intelligence layer woven into how your organization thinks, decides, and operates.
Not bolted on.
The connective tissue.
The metric it moves: decision cycle compression.
The time between a question being asked and a confident answer being acted on.
Days become minutes. Months become hours.
How It Works
State Agent — AI Chief of Staff
One per executive.
Built from structured intake — your context, priorities, and how you think.
It knows your calendar, your inbox, your deals, your relationships — and tells you what matters before you ask.
AI Employees
Function-specific agents: deals, finance, operations, investor relations, meetings.
They do the work. Your Chief of Staff routes, synthesizes, and briefs you.
You don't manage systems. You ask one question and get an answer.
Knowledge Base
Everything your organization knows.
Google Drive, meetings, email — indexed and injected automatically.
Every answer comes with full context — and full sourcing. Audit any claim in one click.
Interface
Works where you already work.
- → Email for daily briefs
- → Slack for questions
- → Claude Desktop for deeper work
No new software. No new logins. Email-first by design — it's where executive attention actually lives.
Built inside your Google Cloud environment. Same security. Same IAM. Same trust model.
Your data stays inside your system.
How We Make Sure It Gets Used
Most AI doesn't fail at the technology layer.
It fails at adoption.
This is built to avoid that.
- → Email-first delivery — comes to you in the channel where you already work
- → Every output sourced — audit any answer in one click
- → Deterministic insertion — arrives at fixed moments, never "open chat and ask"
- → Each agent has a P&L story — named for the dollar lever it protects
- → Team rituals over individual habits — anchored in shared executive sessions
A documented methodology, applied with discipline across 30, 60, and 90-day phases.
The cadence of an enterprise.
Without the enterprise.
Who This Is For
This only works for a specific kind of organization.
If it's not you, I'll tell you.
Not a fit
I work with a small number of clients. The ones where this fits — and leadership is ready to use it.
How It Works
Three phases. Always custom.
Infrastructure is yours. No vendor lock. Fire me tomorrow and the system keeps running.
In practice, this is the digital work of a senior hire — controller, ops lead, or chief of staff, depending on where you're bottlenecked. ~$110k base + benefits. Without the recruit, the ramp, or the day they give notice.
Proof
3 principals. Lean team.
Their controller was leaving.
Their books were a mess.
They needed financial intelligence — not another hire.
Now running:
- → Automated cash analysis + anomaly detection
- → AI-extracted action items from every meeting
- → Daily morning brief to the managing partner
Runs autonomously.
The system replaced the intelligence function of a full-time controller before her last day.
If your organization runs on Google
and your team makes high-stakes decisions every day —
we should talk.