We find out — then we build it. Every owner is being told to use AI; almost none are told where, or what it would actually be worth to them.
Your first call is free — and the report that comes out of it is yours to keep.
We book a call to understand how your business actually runs and where it hurts. Then you get it in writing — your Leak Report: the opportunities we found, what each one would be worth to you, and what it would take to get there. Built by an engineer who asked, not generated by a form — real numbers where we can get them, clearly-labeled estimates where we can't.
Lead, sales, delivery, retention — with numbers on each step: what it costs, how long it takes, and where the hours actually go.
Where leads stall, quotes die, and work gets retyped by hand — each one priced by what it's costing you per month, not by what's fashionable to automate.
For each leak worth closing: the system we'd build, which number it moves, and what that's worth per month — so the ROI case is visible before anyone builds anything.
If the report shows something worth doing, we can go deeper and build it for you — in-depth consulting, or a system made for the way your business runs. Plenty of owners take the report and fix things themselves, and that's a perfectly good outcome. You decide after you've seen it, not before.
See a full example report — what one actually looks like →You start by finding out what's actually worth doing. Only if you like what you see does anything get built, and what we build is tailored to how your business runs, not picked off a menu. We take two engagements at a time.
Nothing owed, nothing signed.
We book a call. You talk about how the business actually runs and what's wearing you down; we steer the conversation using what we've seen genuinely earn money with AI, rather than what sounds impressive. Then we go away and write it up: where your time and money are going, which of it AI could realistically take on, and what each one would be worth to you. If the honest answer is that AI wouldn't help much yet, the report says exactly that.
Only if the report showed you something worth having.
This is the part you choose. We take the opportunity with the best return, work out properly how it would fit the way your business runs, and then build it and put it live in the tools your team already uses. Your rules, your data, your voice. No pilot, no second platform for your staff to learn, no six-month roadmap — and no strings from step one if you'd rather stop there.
Included with whatever we build you.
A system nobody watches quietly stops working. So anything we build comes with its own reporting — what it handled, what it cost, and what it gave you back — and us on hand when the business throws something new at it. That's part of the build, not another line on an invoice. If it ever stops paying for itself, you'll hear it from us first.
We're based in Charlotte and work with businesses anywhere. Engagements run on a weekly call plus async updates — progress lands in your own tools, not in a slide deck.
The engineer in your kickoff call is the engineer who writes the code. No account manager in between, nobody junior inheriting the build.
We take two engagements at a time, so every build gets a principal's full attention. If we're full, the report still happens — you'll just know your start date up front.
of US small businesses report using generative AI — up from 23% in 2023
actually pay an AI vendor — measured across 4.6M business bank accounts, not a survey
of enterprise AI pilots show no measurable P&L impact — enterprise data, not SMB
returned per week where it does work — owner plus staff hours, median
The surveys and the bank records disagree, and the gap is the whole story: a lot of companies are using AI, far fewer are paying for any of it, and almost nobody has a number attached to it. The ones that get it right get their week back.
The gap between "we use AI" and "AI paid for itself" is the entire job. Finding that gap in your business, and closing it measurably, is the whole of what we do.
Every figure sourced — browse the full SMB AI Index →We start with whichever one is bleeding hardest.
The phone. Calls go to voicemail after five, during jobs, and any time two people call at once.
A system that answers every call, qualifies the caller, and books the work onto your calendar.
The inbox. Quotes and inquiries sit for two days while a competitor replies in ten minutes.
An agent that drafts and routes replies from your own past correspondence, for a human to send.
The follow-up. Leads get touched once and go cold. Nobody is chasing them.
A multi-touch sequence that runs in the company's own voice and hands live replies to a person.
The paperwork. Invoices, intake forms, permits, and insurance docs get retyped by hand.
Extraction straight into your system of record, with a human check on anything low-confidence.
The handoff. Work falls between two people or two tools and nobody notices for a week.
An ops agent that watches your systems and flags what's stuck, to the person who can move it.
The blind spot. You spend on marketing and can't say which dollar produced which invoice.
End-to-end attribution from first click to paid invoice, wired through the tools you already run.
If your problem isn't on this list, that's usually a good sign. It means it's specific to how you actually run — which is exactly why we build tailored, from inside the business, instead of from a menu.
Browse everything we build →Consulting is where we learn; building is how we prove it. Two products in R&D — and the systems we run our own business on.
Explore what we've built →The engineer in your kickoff call is the engineer who writes the code. That isn't a scheduling accident — it's how the firm is built.

7 years in AI. A specialist in AI engineering, product management and data science — she shapes what gets built as well as building the models inside it. She has delivered data and AI work across banking and finance, UX research, and biological genetics, and leads AI programs end to end, from raw data through to production.
Owns the data and the models: what your data can actually support, what a model can honestly deliver, and whether AI is the right answer at all.

Five-plus years building production software — the systems a business runs on every day. As a company's first in-house engineer he designed and shipped an entire client-facing platform, database through mobile, and now builds AI into a live product with real users. He has also worked directly with 10+ owner-operators across his own ventures, which is where the habit of asking what a build actually returns comes from.
Owns the build: architecture, integrations, and getting the system live inside the tools your team already uses.
No account manager between you and the work, nobody junior quietly inheriting the build after the pitch, and no incentive to tell you AI is the answer when it isn't — whoever would have to keep the system running at 2am is the same person who scoped it.
Leave your details and we'll set up a call to walk your business together. It costs nothing, and within a week you'll have a written diagnosis of where you're losing time and money — and what AI would return if it closed each gap. Built by an engineer who actually asked, not generated by a form. If it's useful, we'll talk. If it isn't, keep it anyway.
Get your free Leak Report →No pitch attached and nothing to unsubscribe from. Deeper consulting and solution builds start at $1,000.