More output. Same payroll. I set up the AI and train your team.
Like what? "Dead" leads re-checked by AI and turned into signed cases. Intake calls audited before they become lawsuits. Whole teams producing more without one new hire. That's the work, and the receipts are below. Fixed price before we start. Staff software engineer, Las Vegas, delivered personally.
Where this has already made money
AI systems I personally built and ran inside real companies, anonymized for their privacy. Every one recovered revenue, cut payroll hours, or stopped a lawsuit before it happened. The work history is public: check it on LinkedIn.
of "dead" leads were alive
I built an AI system that re-audited leads marked do-not-call or did-not-qualify. A third were marked wrong. Working them again turned into recovered revenue and signed cases, from leads the business had already written off.
without adding headcount
I taught non-technical ops staff to use AI in the browser to fill out systems and move data between tabs, and built internal tools around their workflows. The same team pushes more paid volume through the pipeline without a single new hire.
audited for compliance
A production AI system, running on Google Cloud, that monitors call-center conversations and flags agents promising outcomes, guaranteeing results, giving timelines, or breaking script rules. It catches the risky sentence before it becomes a complaint or a lawsuit.
forms filled without hands
A campaign-launch process that meant manually filling hundreds of web forms now runs with AI driving the browser. An operations task that ate days, done in the background.
research to first draft
A document research workflow (sourcing, citation gathering, first-draft assembly) reorganized into one repeatable AI pipeline instead of days of manual work per matter.
departments, one AI program
I designed and ran a company-wide AI enablement program: training sessions, tool rollout, and the data-safety rules that let a company in a heavily regulated industry adopt AI without risking client data.
See how much more work your salaries could buy
Type your numbers. The red one is what that time is worth.
Run your numbers right now
Think of one manual job in your shop, like data entry or the paperwork after every intake call: the kind that eats someone's hours that AI in the browser does in minutes. (The humans keep the human work, like the call itself.) Enter how many people do it, the hours each spends per week, and what an hour of their pay costs you. The red number is what that time is worth in salaries, and it's time your team gets back for real work once AI handles the job.
The break-even picture
Pick your starting point
Six ways in, smallest first. Fixed prices, stated up front. Every engagement delivered by me personally, no junior staff, no outsourcing.
See it before you bet on it
A lunch and learn for your whole team: what AI does for a business like yours, what's safe to put in it, and a hands-on block where your people use it on their real work, not a slideshow.
Make AI legal in your building
Your team is already pasting work into AI, with zero rules. I deliver the acceptable-use policy, the data rules, and the tool choices, ready for your counsel to sign off. Built inside a 300-person regulated company and for multiple nine-figure companies under one roof.
Count the money in your dead leads
AI re-reviews the last 12 months of leads your team marked dead. At my last shop, 1 in 3 was marked wrong. You get a ranked call-back list of leads you already paid for, plus the fixes that stop the mismarking.
Get your team working smarter in a day
A full working day with your staff on their real work. Tools set up, templates built on your actual documents, every team producing faster that afternoon.
Find out where you're bleeding
I spend two weeks inside your operation and hand you a ranked roadmap: which workflows to automate now, what each fix costs, what each one saves per year, and what to ignore. Your team can execute it, or I can.
Make the worst process disappear
Pick the workflow that eats the most payroll. I build the automation, connect your systems, and hand it over working, with your team trained to run it without me. Half up front, half on delivery. Miss the scoped number and the second half isn't owed.
How this started
I was the staff engineer inside a 300-person company, watching money disappear the same way it disappears in yours: six people retyping data all day, intake marking leads dead and nobody checking their work, compliance wanting every call reviewed with no headcount to do it.
So I started building. An AI that re-audited the "dead" leads: 1 in 3 was marked wrong, and the call-backs turned into signed cases the company had already written off. A system that listens to every intake call and flags trouble before it becomes a lawsuit, still running in production on Google Cloud. Training that put six departments on AI, and the group policy that made it safe, which I then built again for multiple nine-figure companies under the same roof. And once people were trained, something better started: the ops teams began bringing me their own ideas, "could AI do this?", and my job became turning "is that even possible?" into working systems.
Then it hit me: every business in this city has the same trash, the same retyping, the same unchecked "dead" pile. They just don't have an engineer in the building. Now I'm that engineer, for a fixed price, delivered personally.
Straight answers
How much does AI consulting cost in Las Vegas?
All six prices are on this page: $1,500 lunch and learn, $4,500 AI policy package, $7,500 dead-lead audit, $8,500 working day, $15,000 assessment, $30,000 to $60,000 fixed-price build. No hourly billing, no retainers to start, no surprises.
Do you work outside Las Vegas?
Yes. Based in Las Vegas, on-site across the valley including Henderson and Summerlin, regular trips to Los Angeles, remote anywhere.
What kind of businesses is this for?
Any operation run on calls and paperwork: medical billing, insurance, lending, law firms, logistics, property management, home services. Typically 10 to 300 people, though the work scales both ways. If your people retype data or draft the same documents daily, that's the fit.
Is our data safe?
Business AI accounts keep your data private; it isn't used to train the models. Every engagement includes a plain-English data policy for your team: what can go into AI and what can't.
We already tried ChatGPT. Why didn't it stick?
Because a login isn't a workflow. The gap between "we have AI" and "AI runs our worst process" is setup, templates, and training on your actual documents. That's the part I do.
How fast do we see results?
Training pays back the same day. Automation projects deliver in two to eight weeks, scoped against a measurable outcome before I start.
Bring me your worst process. I'll show you the money in it.
Thirty minutes, free. You describe it, we do the math out loud, and you leave with your number: what it costs you per year, what the fix costs once, and when it pays for itself. Worst case, you get the number and walk.