Hands-on AI training — Savannah, GA

Maai Services — Make the most of AI, and the most of your time.

Hands-on AI training for small teams — taught on your real problems.

Booking — Summer 2026

01 — Why AI adoption stalls

Most small teams buy the tool and stop there.

A

New tool, old workflow

AI gets bolted onto the same paths the work has always taken. The subscription renews; nothing compounds.

B

Generic training

Webinars and slide decks teach the tool in the abstract — never on your invoices, your intake, your follow-ups.

C

Outsourced learning

Someone else builds something and the understanding leaves with them. The team gets an artifact, not a capability.

The fix isn't a better tool. It's a team that knows how to learn with it.

02 — The Turn

You're running it in the dark.

Learn the tool. Turn the lights on.

You decide your future.

03 — The Reframe

Same hours. Far more done. The teams pulling ahead aren't the most technical — they learned a method.

You'll accelerate how you learn the tool, then learn to build for yourselves: research, workflows, agents, and tools of your own.

04 — The Method

One loop. Every problem your business has.

Every engagement teaches the same cycle — on your real backlog. Tools change; the loop doesn't. Once your team runs it, every new problem starts to look buildable.

01 Map the work 02 Pick the lever 03 Build it with AI 04 Pressure-test it 05 Fold it in THEN BACK TO 01 — THE LOOP
01

Map the work

02

Pick the lever

03

Build it with AI

04

Pressure-test it

05

Fold it in — then loop

05 — Engagements

Start with a call. Build from there.

Start here · Free

The Fit Call

Bring one problem your business has right now. If I can help, you'll know exactly how by the end — with a scoped engagement, or an honest reason not to have one.

01

Half-Day Intensive

You, me, one half-day, your real backlog. We map the work, pick the lever, and build the first automation together before you leave.

You leave withA working automation, the loop in your hands, and the confidence to run it again.

02

Team Enablement

Two or more from the same business, learning together. The moment a second person is in the room — including a grad bringing their CFO — this is the engagement.

You leave withShared workflows the whole team runs, and a common language for the next build.

03

Assessment & Roadmap

A structured look across the whole business: where AI actually pays off, what to build first, and the order to build it. For teams who want the map before the work.

You leave withA prioritized roadmap of where AI moves the needle — and the sequence to get there.

Existing clients

Office Hours · On-Call

A standing line for teams we've already trained — the next problem, the weird edge case, the agent that's almost working. Sharper builds over time, growing with your ambitions.

06 — How We Work

Yours to keep — by design.

You keep the method

The loop is taught, not licensed. Every engagement is built so the capability lives inside your team and keeps compounding.

You learn to build

Workflows, agents, tools of your own — built with your hands, on your work. Nobody knows your business like your team does.

Scoped on the call

No menus, no packages, no published prices. The fit call exists to scope the right engagement — or to tell you honestly that you don't need one.

Your stack, your machines

We work in whatever your business runs on. When privacy, cost, or control call for local AI on your own hardware, that routes to Maai® Machines.

08 — How I Work

I built and run an automated business with AI. Every shortcut and hard-won lesson from that build is what I hand to your team.

Model-agnostic by design — we work across the major LLM providers and pick the right tool for the job, not the one we're loyal to. When privacy, cost, or control call for it, we run local models on your own hardware through Maai® Machines. Independent practitioner; not affiliated with or endorsed by any vendor.

09 — Start Here

Are you ready to build your business with AI?

The fit call is where it starts — we find what's worth building first, and whether the method fits your team. If it doesn't, I'll say so.