Retyping data between systems. Drafting the same documents over and over. Chasing statuses by phone and email. That's payroll going to work that can be automated today. I do it for a fixed price, in plain English, delivered personally.
Every operations-heavy company I talk to is bleeding hours in the same four places.
Your people pull data out of one system and type it into another, all day, every day. Claims, applications, orders, invoices. Same information, entered three times.
Letters, summaries, proposals, compliance paperwork. 80% identical every time, and someone senior is still writing each one from scratch.
Good ops people are expensive and hard to find, and adding headcount to a broken process just makes the broken process cost more.
Half the phone calls and emails in your shop are just "where's my file?": customers chasing you, your people chasing vendors, everyone chasing everyone. Nobody's producing anything; they're locating things.
One or two veterans know how everything actually works: the exceptions, the workarounds, which carrier wants what. If they're out sick, things stall. If they ever leave, you've got a real problem.
Everyone says "use AI," nobody says how, and the vendors circling you sell subscriptions, not results. You don't need a platform. You need someone to fix a workflow.
One manual process, typical numbers:
The fix keeps paying every year. The manual process keeps charging every year. That's the whole decision. On our call we run this with your numbers instead of mine.
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. Your numbers are next.
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.
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.
I designed and ran a company-wide AI enablement program: training sessions, tool rollout, and the data-safety rules that let a firm in a sensitive industry adopt AI without risking client information.
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.
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.
A litigation research workflow (sourcing, citation gathering, first-draft assembly) reorganized into one repeatable AI pipeline instead of days of manual work per matter.
Four ways in, smallest first. Fixed prices, stated up front. Every engagement delivered by me personally, no junior staff, no outsourcing.
A lunch-and-learn for your whole team: what AI actually 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. The easiest way to find out if this is worth your money.
See the exact session I run (PDF) →
I spend two weeks inside your operation and hand you a ranked list: which workflows can be automated now, what each fix costs, what each one saves per year, and what to ignore. Your team can execute it, or I can.
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.
A full working day with your staff on their real work, not a seminar. We set up the tools, build the templates and shortcuts for your actual documents and processes, and they leave producing faster that afternoon.
No proposals that take three weeks. A conversation, a one-pager, a start date.
You tell me where the hours go. I ask questions. It's free, and if I can't help, I'll say so and point you to someone who can.
Within 48 hours: the problem, the fix, the price, the date. One page, plain English, no fine print.
I do the work personally, on-site or remote, and your team learns as we go so it doesn't fall apart when I leave.
I'm a staff software engineer with 15+ years building systems for real companies, the kind with legacy software, tight budgets, and people who've been burned by vendors before. That's the environment most AI consultants have never actually worked in.
Most recently I built and ran the internal AI enablement program at a 100+ person legal services company: company-wide training sessions, tool rollout across six departments, and the data-safety rules that let a firm in a sensitive industry use AI without losing sleep. That program is the basis of what I now deliver directly to businesses like yours.
I use these tools every day in my own work. What I bring isn't a certification-course slideshow; it's the working knowledge of an engineer whose code has to run, because in my world it either works or it doesn't.
The questions owners actually ask, answered the way I'd answer them on the phone.
My prices are on this page: $1,500 for a team lunch-and-learn, $8,500 for a full working day, $15,000 for a two-week assessment, $30,000–$60,000 for a fixed-price implementation. No hourly billing, no retainers to start, no surprises.
Yes. I'm based in Las Vegas and work on-site across the valley including Henderson and Summerlin, travel regularly to Los Angeles for engagements, and deliver remotely anywhere.
Any operation run on paperwork: law firms, medical billing companies, insurance agencies, mortgage and lending shops, logistics brokers, property management. If your people retype data or draft the same documents daily, that's the fit.
Business AI accounts keep your data private; it isn't used to train the models. Part of every engagement is a plain-English data policy for your team: what can go into AI, what can't, and how to tell the difference.
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.
Training pays back the same day: your team leaves producing faster that afternoon. Automation projects deliver in two to eight weeks, scoped against a measurable outcome before I start.
Tell me what's eating your team's hours. If I can fix it, I'll tell you exactly how and exactly what it costs, on one page.