I build AI employees the way I'd hire one. Each is onboarded like a new hire. It learns your business, follows your playbook, and a real person checks its work before anything goes out. Clients are described by industry, never by name, and every demo below runs on sample data.
Payment to signed contract to portal access. Nothing fails silently.
The problem
High-net-worth members, a high ticket and white-glove expectations. Every step from payment to access done by hand.
What we built
Built for 100 new members a month. The contract goes out within minutes of payment, a ten-day chase runs on anything unsigned, access opens on signature, and a first-week sequence gets each member onto a concierge call.
The rule
Every failure routes to a person.
02Client reporting
The scoreboard
Every hour the builds take back, priced at what that person's time costs.
3.56xback on every dollar
71hours a month back
Sample data for a fictional firm. Not a real client.
The problem
An owner pays for AI work and can't see what it returns. A feeling that it's working isn't a number.
What we built
A report the client logs into. Each recurring job their team told us about is valued at that person's hourly cost, logged as the builds take it over, and rolled up into one return on every dollar.
What it shows
Time reclaimed by task, the return multiple, payback, and what's still being built. Nothing is counted until it's live.
One app for the crews and the office. Six builds live inside it.
The problem
Owner-led, crews in the field, and an office running on spreadsheets and memory.
What we built
The review found 14 builds. At the center is a custom app for the crews and the office that carries six of them in one place: live jobs on a map, what needs a check today, and what's been reached but not invoiced.
What it changed
The app is live with the crews, and the review turned into a six-month build retainer.
Answers every call in about a second. Then it books you.
The problem
Calls land at 9 at night, or while the front desk is on the other line. The hottest lead is the one still on the phone.
What we built
A phone agent that answers in about a second, offers real open slots from the calendar and books one. It answers from approved material only, and puts a person on the line the moment a caller asks for one.
What it changed
21 days from kickoff to live. Every call leaves a trail the owner can read in a minute.
"Can I get a time with someone this week?"It checks the calendar and books the slot you pick.
"What do you actually do, and what does it cost?"It answers from approved material. Anything else, it takes down for the team.
"Sorry, wait, actually..."Cut it off mid-sentence. It stops, listens and picks up from what you said.
"Can I talk to a person?"A real person's phone rings while you're still on the line.
It answers for The Goude Group.
05Trading education company
The desk
The member platform traders keep open all day.
The problem
A member community running a funded-trader challenge needed one place for its traders to work from.
What we built
Live charts, P&L and positions marked to the tick, setups with entry, target and invalidation, the session schedule, and a desk assistant that reads each member's account.
Plus
The challenge pipeline behind it.
Figures simulated. Demo data only.
Where every build starts
The Operating Review
We read the whole business before we build anything.
What happens
A 20-minute assessment for each team lead, an hour with each of them, then a live readout. Two to three weeks, five or six hours of your leaders' time.
What you get
An efficiency score, a scorecard, a risk map and a roadmap with every fix ranked by the hours and dollars it returns.
Every fix comes with its return. You see the hours it gives back and what it costs, so you know how fast it pays for itself.
Type, or press Talk. Ask what we do, how a review runs, or tell her what's slowing your business down. She's an AI voice built from mine, with my permission.
