Service · AI automation

Automate the busywork.

The repetitive work that eats your team's day, scheduling, intake, follow-up, reporting, handled by software running in your own cloud. I build it, you own it, and we measure the time it gives back.

St. Augustine, Jacksonville, Ponte Vedra, and Northeast Florida.

Every business runs on a handful of tasks nobody wants to do twice: chasing a quote, re-keying an intake form, copying numbers into a weekly report, following up on the email that went quiet. They are too small to hire for and too constant to ignore. That is what automation is for.

I build automations that run in your own cloud account, wired into the tools you already use. No new subscription to rent, no black-box vendor. When the work is done, the code is yours, and the hours it saves are something we measured.

What I build

The work that runs itself.

Scheduling and intake

A new lead fills out a form or sends a text. The system qualifies it, books the slot, and puts it on the calendar without anyone touching it.

Follow-up that doesn't drop

Quotes, estimates, and threads that went quiet get a timed, on-brand nudge, so nothing goes cold because someone got busy.

Reporting on autopilot

The weekly numbers your team rebuilds by hand every Monday, pulled from your systems and assembled into the report you actually send.

Document handling

Invoices, certificates, contracts, and PDFs read, checked against your rules, and routed, with a person approving anything that matters.

Why it lasts

It's software you own, not another tool you rent.

Most automation gets sold as one more rented tool: you learn its quirks and pay per head forever. I build the automation as software you own, grounded in your real data and business rules, not a generic template.

It runs in your Google Cloud or Azure tenant. Your team can see it, change it, and keep it when I'm gone. The agent only acts where you let it, and it says so when it isn't sure instead of guessing.

Each automation is also a module of your harness: the setup around the AI that connects it to your systems, enforces your rules, catches mistakes, and remembers what works. Modules share the same connections and rules, so the second automation is faster to add than the first.

Proof

Automation measured against what it replaced.

I'm embedded today at a Northeast Florida commercial contractor, replacing rented software with apps the team owns. The workflows that moved off those tools are exactly this kind of automation: approvals, reporting, change-order routing.

I measured the hours and the cost before, shipped the automations, and measured after: the reports that used to eat a morning now assemble themselves, and the follow-ups that used to slip do not. That before-and-after is the point, not a demo.

Measured

the automations set against the hours and cost they replaced

Read the full case study →

FAQ

Common questions.

What can you actually automate?
If a task is repetitive, rule-based, and touches data your systems already hold, it's a candidate: scheduling, intake, quote follow-up, reporting, document checks, data entry between tools. If it needs human judgment, I automate the front of it and leave the decision with your team.
Do I need to be technical?
No. You describe the task in plain language. I build it, show you it running, and hand over something your team can use without me in the room.
Where does it run?
In your own cloud account (Google Cloud or Azure), under your billing, with the code in your repo. No new subscription to rent, nothing locked to me.

Tell me what's eating your team's time.

Thirty-minute call. Describe the task you keep doing by hand; I'll tell you straight if it's worth automating, what it should give back, and how I'd build it.