Fractional Operator · AI in Production

I turn operational chaos into systems that run themselves.

I operationalize AI inside real businesses. The industry changes — the operational pain doesn't. And neither does the playbook for fixing it.

I turn scattered sales, inventory, and operating data into executive dashboards people actually use to run the business.

15+ yrs operations leadership Systems that run, not slide decks Embedded, then handed off Vetted with industry experts
The core thesis

Most "AI solutions" are built for one industry and break the moment your data looks different. Mine don't — because the data is agnostic.

01

It's all messy operational data. Quotes, orders, inventory, records — underneath, it's the same problem: unstructured information waiting to be put to work.

02

The playbook transfers. Structure the data, wire AI into the tools you already run, measure it against real numbers. Same method, any sector.

03

I bring the operating system. Your data fills it in. That's why a method proven in one business works just as well in the next.

04

Experts keep it accurate. I partner with specialists who know your business firsthand, and we pressure-test every implementation for accuracy before it goes anywhere near production.

The pattern

Different business. Same problems.

Different vocabularies, identical mechanics — high-volume documents, tribal knowledge, and decisions made on incomplete data.

01

High-volume documents

Quotes, orders, records, certificates — piling up and handled by hand, one at a time.

02

Tribal knowledge

The business runs on what a handful of veterans carry in their heads. When they leave, it leaves.

03

Manual data entry

The same information typed into three different systems — slow, and wrong often enough to matter.

04

Guesswork decisions

Pricing, stocking, and staffing decided on incomplete data instead of what you actually know.

Built for operations like yours

This is where the money quietly leaks out.

Your business runs on quotes, inventory, and paperwork — and most of it still moves by hand. Here's what AI in production actually fixes.

Quoting

Quotes in minutes, not hours

Incoming quote requests read automatically, matched against what's in stock and current pricing, and drafted into a ready-to-send quote. The deal you lose is usually the one you answered last.

Inventory

Inventory you can actually see

What's on the floor, what's aging, and what's surplus — surfaced on demand instead of buried in a spreadsheet only one person understands. Move slow stock before it becomes a write-down.

Documentation

The paperwork, without the hunt

The certificates and documents a customer asks for with their order, matched to the right material automatically — assembled in seconds instead of dug out of folders and email.

Order processing

Orders that process themselves

Purchase orders, packing lists, and shipping paperwork read and entered across your systems — no more typing the same thing into three places, no more keying errors.

Forecasting

Demand you can forecast

Tie stocking decisions to project pipeline and activity signals, so you're not capital-locked on the wrong material when the work shows up.

Knowledge

Tribal knowledge that doesn't retire

Capture what your veteran counter and yard staff know — before it walks out the door — into systems your next hire can actually use.

How I work

Embedded operator. In production. Handed off cleanly.

I'm not a strategy deck. I work inside your operation, ship something that runs, and hand it to your team.

01

Diagnose

Time inside your operation to find exactly where time, money, and knowledge leak. No generic audit.

02

Build

AI and data pipelines wired into the tools you already run — ERP, email, spreadsheets, the real stack.

03

Deploy

In production, used daily, measured against real numbers — quote time, error rate, stock turns.

04

Hand off

Your team owns it. I build capability, not dependence, and step back when it runs without me.

Track record

Harvard-trained. Field-tested.

Operator.
15+ years running and scaling real operations — not advising from the outside.
In production.
AI that runs daily and is measured on real numbers — not a strategy deck.
Expert-vetted.
Every build pressure-tested with specialists who know your business.
Let's talk

Find the blind spot worth fixing first.

Tell me where your operation hurts most. I'll come back with where AI actually moves the number — and where it doesn't. Straight answer, no deck required.