Ops Brain
Your operation, on tap
One agent that knows SOPs, client history, pricing rules, and capacity. Ask complex questions. Get decisions you can execute.
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Models change. Your ops should not collapse when they do. I design and embed AI-powered operating systems for technical teams and founders — so hours come back, margin holds, and the stack can evolve without a rebuild every release cycle.
Another week into Slack, spreadsheets, status theatre, and firefighting. The gap between what your team could do and what they actually do is the disadvantage.
Not chatbots. Not slideware. Embedded agents wired to your processes, tools, and standards.
One agent that knows SOPs, client history, pricing rules, and capacity. Ask complex questions. Get decisions you can execute.
Watches deals go quiet, drafts follow-ups in your voice, surfaces churn signals before they become obituaries.
Writes and updates procedures from how work actually happens — so new hires ramp in days, not months.
Flags pricing creep, suggests alternatives, drafts negotiation in your tone. Protects spend without extra headcount.
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The wrong approach is a one-off demo that dies when the next model ships. The right approach is an ops architecture: clear inputs, tool contracts, evaluation, and a path to upgrade engines without throwing away the work.
Grok-first when it wins. Portable patterns so you are not trapped when the landscape shifts.
If we cannot measure leverage in 30–90 days, we should not be building. Vanity dashboards are not delivery.
CRM, Slack, docs, finance tools — agents that sit inside real work, not a separate toy environment.
Networking is not the product. It is the standard I hold myself to — rooms where performance and enterprise scale are normal. The work remains the systems.
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Not invented case studies. Target leverage multi-site operators and technical founders can measure.
For leaders drowning in escalations and slow ramp.
For teams leaking pipeline through slow follow-up.
For multi-site spend that creeps without ownership.
When human ops are already strong — and need the AI layer.
Outcomes depend on how ready your ops and data are. I only take work where we can measure leverage early.
Where time actually goes. The 3–5 processes worth automating first. Honest fit check.
You see agents as they are built. Against real work — not theoretical workflows.
Production. Measure hours reclaimed, errors avoided, revenue protected. Then expand.
Monthly tune-ups as tools and models move. Your system upgrades. Your competitors re-demo.
Every decision — what I build, who I work with, what ships — is filtered through leverage. Tools that look brilliant in demos and die in real operations do not get airtime.
I work with a small number of operators who are serious. If you want a toy to play with, I am not your person.
That urgency is personal. In 2015 I got a permanent reminder that time is finite. It is why I ship only what creates real leverage — and refuse to waste yours.
Two engines. One standard. Not a replacement for human ops leadership — a force multiplier.
I read every message. Specifics about your ops drag get the fastest, most useful reply.
Most engagements: $18,000 – $65,000+ · limited per quarter
No pitch decks. No theatre.