0.9 mm
median deviation vs. hand-made lab work
From a 3D scan to a print-ready dental prosthesis – in minutes
A dental surgery practice in California
A raw 3D scan goes in, a print-ready prosthesis comes out.
AI INTEGRATION & SOFTWARE DEVELOPMENT · CALIFORNIA
AI integration and custom software that cut your costs.
AI is not magic. It's math.
Two things: I integrate AI into the processes your company already runs, and I build the software you don't have yet. The point of both is the same – lower operating cost, a leaner budget, and work that finishes in minutes instead of days. I model the economics before you spend a dollar: if the math doesn't work, I'll tell you.
For owners and decision makers in medical practices, trucking and logistics, and local service businesses.
Every engagement starts with a free call; build work starts with the audit – find 10+ hours a week of savings, or it's free.
Most AI projects never pay back. The math gets skipped.
Businesses buy the magic: a slick demo, a big promise, a pilot that never ships. Nobody models the token costs, the integration hours, the maintenance, or the dollar value of the hours saved. Then the bill arrives.
I work in reverse. First the math: where exactly AI pays in your business, and how much. Then the build – only what the numbers justify. Sometimes the honest answer is “you don't need AI here.” You'll get that answer too.
I wrote a book about this. The models in it now run in live businesses – not just on the page.
01
Economics first.
Unit economics modeled before a single line of code. You see the payback math up front.
02
The engineer you talk to is the engineer who builds.
No account managers, no juniors, no offshore bench. One senior, end to end.
03
Honest verdicts.
I run controlled experiments, publish the misses along with the hits, and tell you when AI won't help – before you spend.
04
You are never left waiting.
You write to the person building your system, not to a ticket queue. Same-day answers while the project runs.
About
The engineer you'll actually talk to
I'm Andrii Bondarenko. I spent 20+ years on the business side – 5 industries, 3 countries, including revenue and partnership work for Fortune 500 consumer brands – before moving to the other side of the table and building the systems myself.
Now I run AI for Business: an AI engineering studio of one, based in Sacramento, California. I founded TruckRoute.AI, an AI navigation platform for trucking with a patent pending. I hold an AI strategy role at a California medical practice, where my systems design dental prosthetics and process surgical data under HIPAA and IRB oversight.
I wrote “Math, Not Magic” – a book on the real economics of AI in business, published on Amazon – because I kept watching companies pay for magic and get slideware. The frameworks in the book run in live businesses today.
Author of “Math, Not Magic” (Amazon)Featured in CEOWORLD Magazine2 peer-reviewed publicationsPatent pendingPublic dataset on Hugging FaceJudge, Int'l Business & Technology Award 2026
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Book
The engineer you'd hire wrote the book on this
“Math, Not Magic” - A Founder's Guide to AI in Business and What's Really Under the Hood
Published on Amazon
Same person: the author of the book and the engineer who would build your system. I write from California, where most of the companies whose models you call through an API are built - and nothing in the book is theory I collected. It is the method I run on paid work: model the unit economics first, build only what the numbers justify, and say it out loud when AI is the wrong tool for the job.
The frameworks behind the audit are in there chapter by chapter: where the hours actually go, what a payback model looks like, why most AI pilots never reach production, and what the running cost of a model really is once it is live.
If you want to see how I will think about your operation before you hire me, read the free preview - it is the opening chapters, not a teaser.
Work
Real systems. Real numbers.
1 hr → 30 sec
permit processing time
Regulatory paperwork into decisions: 1 hour → 30 seconds
TruckRoute.AI – my own company
The AI reads an oversize trucking permit and returns the required route.
to the penny
reconciliation vs. their own system
An operations copilot over a trucking company's TMS
A US freight company
Dispatch asks in plain English and gets answers from the live TMS.
16,897
labeled surgical actions in the reference case
An operating room to a public AI dataset
A surgical practice in California
Surgical video turned into a public AI dataset, fully compliant.
1 engineer
site, portal, payments, backend – end to end
A festival platform run by software
An international youth arts festival
Site, portal, payments and organizer dashboard - one engineer, end to end.
3 → 900
leads: a day by hand vs one automated run
Prospecting that went from 3 buildings a day to 900
Commercial roofing pilot, Sacramento
Open map data and computer vision replaced manual roof prospecting.
every 30 min
public groups and channels swept for buying intent
A lead radar watching public Facebook groups and Telegram channels
Built in-house, then productized
A monitor reads public groups and channels and hands sales the real buying signals.
Client names are withheld under NDA – the work and the numbers are real, and I'll walk you through any of these systems on a call.
Operator, not vendor
Before I automated businesses, I ran them
Most of my career happened on your side of the table: a P&L with my name on it, payroll that had to clear, quotas to hit, partners to keep. I built commercial models from scratch, took projects to break-even, and closed enterprise partnerships - across five industries and three countries, on brands from Fortune 500 consumer names to premium automotive.
So when you tell me a quote takes two days and the deal is already gone, or that your best salesperson spends the morning re-typing data between two systems, nothing has to be explained to me. I have run that month.
- 20+
- years building and scaling businesses
- 5
- industries worked from the inside
- 3
- countries launched in
- 13
- years running a media programme
Things I do not need explained
- Payroll has to clear on Friday, whatever the pipeline says.
- A quote that takes two days loses to the shop that answers in an hour.
- The person who sells best is the one buried in data entry.
- Month-end close eats a week nobody budgeted for.
- A tool the team quietly stops using is worse than no tool at all.
Technology is only worth buying here if it moves one of those. That is the only reason I build it.
Services
Services and prices. No “contact us for pricing.”
Two ways in. Integrate AI into the operation you already run, or have the software you're missing built from scratch. Both are judged on the same thing: cost out, speed in. Not sure which fits? Start with the audit – its whole job is to tell you.
AI Opportunity Audit
Start hereFind out where AI actually pays in your operation – in dollars and hours, not in hype.
- Map of your workflows and where the hours go
- 3–5 ranked automation opportunities with a payback model for each
- A 90-day roadmap: what to build, in what order, and what to skip
- 1-hour readout call, written report is yours to keep
$1,900
one workflow · $4,500 whole business · fixed fee
1–2 weeks
Find 10+ hours a week – or it's free.
If the audit doesn't identify at least 10 hours of weekly savings in your operation, you don't pay.
And it is not a cost on top: the audit fee is credited toward any build you start within 30 days.
Savings are identified in the written report and computed from your own labor-hour data; if the 10-hour threshold isn't met, the fee is waived.
AI Integration into your operation
$3,000–$7,000
fixed scope · running cost from $500/mo
1–2 weeks
Your existing process, minus the manual hours: AI automation put to work inside what you already run – quoting, intake, dispatch, reporting, support, document handling. Nothing gets ripped out and replaced.
AI Agent in 30 Days
$5,500–$15,000
pilot · fixed scope
30 days
A new capability your business doesn't have yet: an agent answering questions from your live data, automating a process, handling the routine your team drowns in.
Custom Software / SaaS
$10,000–$30,000
fixed scope
1–12 weeks
A real product, not a prototype: auth, payments, dashboards, admin, deployment. Built to be handed over – documented, tested, owned by you.
AI R&D – the hard problems
from $10,000
feasibility / proof of concept · production $20,000–$50,000
4–20 weeks
Computer vision, 3D geometry, custom model training, regulated data (HIPAA). The work most agencies subcontract – done in-house, with validation you can check.
Fractional AI Lead
$3,500/mo
advisory · hands-on $8,000–$12,000/mo (1–2 days a week) · 3-month min
ongoing
Your part-time head of AI: strategy, vendor calls, hiring help, and real engineering – not just advice. I currently hold this role for a California medical practice.
AI Project Rescue
from $10,000
typical $15,000–$30,000
2–8 weeks
Inherited an AI project that doesn't work? Vendor disappeared? AI-generated codebase that falls over in production? I audit it, tell you what's salvageable, and stabilize it.
Support after launch: $1,500–$5,000/mo. Anything outside these packages: $150/hr.
Every engagement starts with the free call. NDA by default.
Do the math
What do 10 lost hours a week cost your business?
That's the minimum the audit guarantees to find. Drag the slider to your team's average loaded hourly cost – and see the yearly number.
$20$150
10 hrs / week× 52 weeks
× $45 / hr=
$23,400 / year
The audit costs $1,900. Those hours cost 12× that – every single year. And if the audit can't find them, it's free.
Find my 10 hours
Process
How we'll work
01
Call
Free. You describe the operation; I ask where the hours go. No deck, no pitch.
02
Audit
1–2 weeks. The math: where AI pays in your business, in dollars and hours – with the audit guarantee attached.
03
Pilot
30 days. The smallest build that proves value on your real data.
04
Production
Integrations, security, monitoring. You own the code and the accounts.
05
Support
Flat monthly fee, or your team takes over with full documentation. No lock-in.
How I engineer
Every result is validated before I call it done – measured against real data, not a demo script. I run controlled experiments, keep honest records of what didn't work, and never report a number I can't recompute from primary data. That discipline comes from shipping systems where errors are measured in millimeters and dollars.
FAQ
Questions owners actually ask
Prices are on this page. An audit is $1,900–$4,500 fixed, and it is credited toward the build if you start within 30 days - so it is not an extra cost. Agent builds run $5,500–$15,000. Custom software $10,000–$30,000. AI R&D from $10,000, project rescue from $10,000. Retainers from $3,500/mo. If your project doesn't fit a package, it's $150/hr – but most work fits.
Hourly billing rewards slowness. Fixed scope means you know the price before we start, and scope creep is my problem, not yours.
I do. Design, code, deployment, and the calls in between. For specialized pieces (e.g. native mobile) I bring in vetted specialists under my direction – you'll know if that happens.
Both, in the order that matters. First the consulting: audit, payback model, roadmap - the work you'd hire an AI consultant for. Then the same person builds it: workflow automation, AI agents, machine learning models where they pay. No hand-off between the person who promised and the person who ships.
Yes – that's most of the job. I've integrated with TMS platforms, EHR-adjacent medical data, CRMs, payment systems, and plenty of undocumented legacy APIs.
I work under NDA by default and have production experience with HIPAA de-identification and IRB-approved data pipelines. Your data stays in your accounts – I build in your infrastructure, not mine.
Then the audit says so, with the math attached. And if I can't find at least 10 hours a week of savings, the audit is free. Selling you a build that won't pay back is bad math.
The audit takes 1–2 weeks and pays for itself in found hours. A pilot ships in 30 days on your real data. If a build can't show value inside a quarter, I'll tell you at the audit stage – that's the point of doing the math first.
No. Every system I've shipped removes routine work – paperwork, lookups, triage – so your people spend their hours on judgment work. The team that fears the robot usually ends up running it.
I'm in Sacramento, California and work with small and mid-size businesses across the US. California clients get in-person sessions; everyone gets my time zone.
You do. Everything ships to your repositories and your cloud accounts, documented, with no dependency on me to keep running.
Let's do the math on your business.
A free call. You talk about your operation, I tell you honestly whether AI pays here – and what I'd build first if it does.
The first step is an audit with a guarantee: 10+ hours a week found – or it's free.
You will not be chasing me for answers
If you have ever paid someone and then spent two weeks trying to get a reply, you know the expensive part is not the invoice - it is the silence. Here you write to the engineer who is building your system, and you hear back the same day. No account manager in between, no ticket number, no waiting to find out something went wrong.
Sacramento, California, USA · working with clients across the US