AI Operating Systems for $1M-$20M operators tired of being the bottleneck of their own business. Cut quote, deal, and compliance cycles ~80% in 90 days. Or we keep building until you do.
You have payroll, inventory, compliance, customers asking questions you do not have time to answer. Your workflow names are below. If you see yourself, the Audit was built for you.
Custom quotes assembled across CRM, inventory, pricing sheets, compliance docs. Multi-state, multi-license reporting cut from 20 hrs/week to 90 minutes. Two cannabis operators are running on it today.
Property data, financials, market intel synthesized on demand. A multi-asset real estate group cut deal diligence from 3 days to under 30 minutes. Pipeline velocity in days, not weeks.
Hotel management group running a single intelligence layer across every property. Booking, follow-up, ops reporting, owner statements, one system reading every data source, every brand standard, every flag.
After-hours capture, follow-up automation, multi-location reporting. A multi-asset retail operator runs on it today. Customer follow-up that converts without staff watching.
Also: clinical research operators on 60M-row datasets, compliance-heavy radiology groups, professional services. The systems work everywhere the bottleneck is a human stitching data across tools that do not talk.
"My team uses ChatGPT. I pay for three AI tools.
Nothing has actually changed." Every operator we talk to, week one
ChatGPT for a week. Maybe a chatbot from an agency. You concluded AI was not built for your business. Wrong conclusion. You started with a tool instead of a system.
Fifteen subscriptions, each doing 60% of the job. The other 40% is you. You are the integration layer. That is a $20-an-hour identity in a $200-an-hour seat.
And the team still asks you questions only you can answer, because the systems that should answer them do not exist yet. You cannot delegate what has not been built.
Four numbers we see every week, in nearly every operator we audit. Yours will not be identical. They will not be far off either.
of deal velocity lost to manual quote assembly. Days-long cycles on $10K-$50K transactions. Compounding.
of $200-an-hour C-suite time spent on $20-an-hour data entry. The integration layer is you. That math is upside down.
weekly on reporting that should take 90 minutes. The data exists. A human is stitching it across six systems every cycle.
of leads, reviews, and renewals lost to inconsistent post-close follow-up. The single most fixable revenue leak.
Every operator that closes with us walks the same three steps. Free, fast, then real.
Seven questions about your workflows, team size, and the one process eating the most time. We compute your dollarized leak and send a 12-page operator-specific PDF. Five minutes later, you experience the AI system live on a phone call that walks you through your findings.
One-on-one with Harsh. Shared spreadsheet, your real numbers, before/after on comparable installs. By the end you know your number, your path, and whether either fits. Or whether it does not.
Days to Minutes Sprint (six weeks, one-on-one) or AI Revenue Stack Install (ninety days, embedded CAIO). You own everything. Guarantee on both.
The Sprint is one-on-one. The Install is embedded. Same destination, different starting lines. Each card opens a full page with the deliverables, the timeline, the guarantee, and the apply flow.
Six weeks. Just you and us. Custom onboarding. Weekly 1-on-1 build sessions. You ship one to three live AI systems in your business and leave with the skill to build the next one. Forever.
Ninety days. Three to five custom systems built. Data unified across your stack. Team trained to operate. Steward retainer follows. You own every system we build.
Whether you ship one system in six weeks or five systems in ninety days, the Operating System model is the same.
Ninety days into the engagement, three systems running. Compliance reporting that used to eat 20 hours a week now takes 90 minutes. We stopped hiring. We started building.
PORTRAIT · HARSH PATEL I ran a 40-person team across four states for fourteen years. I was not technical. I became AI-first because nothing on the market actually worked for how my business ran. I built the systems my consultants could not. They kept running after I stepped back. Now I teach operators to do the same.
Every path starts with the Audit. It tells you the size of your leak and the size of your fix. Then you pick the path that matches.