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.

Book a free 30-minute call See the work

Every engagement starts with a guaranteed audit: find 10+ hours a week of savings – or it's free.

1 hr → 30 secregulatory paperwork, automated 0.9 mmAI-designed dental prosthesis vs. hand-made lab work $40K/moAI spend eliminated (a case from the book)3 → 900sales leads found per day, same team 20+ yearsbusiness first, technology second

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.

Economics first.

Unit economics modeled before a single line of code. You see the payback math up front.

The engineer you talk to is the engineer who builds.

No account managers, no juniors, no offshore bench. One senior, end to end.

Honest verdicts.

I run controlled experiments, publish the misses along with the hits, and tell you when AI won't help – before you spend.

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.

It is also why I model the money before I write code. An automation that saves four hours a week and costs eleven is a bad trade - and an owner deserves to hear that from the person who would be building it, not after the invoice.

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.

AI Opportunity Audit

Start here

Find 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

$2,500

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.

Start with the audit

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. Audit fee is credited toward any build started within 90 days.

AI Integration into your operation

$15,000–$45,000

fixed scope · running cost from $500/mo

4–10 weeks

AI put to work inside the processes you already have – quoting, intake, dispatch, reporting, support, document handling. Nothing gets ripped out and replaced.

Wired into the tools your team lives in: CRM, ERP, TMS, EHR, e-mail, spreadsheets, chat
The routine work – reading documents, chasing data, writing the same reports – stops being a person's job
Your team is trained on it and gets written runbooks; adoption is part of the job, not an afterthought
Measured against the baseline we recorded before the build: hours saved and dollars per month

Typical outcome we aim for: the operating cost of one process cut by half or better, with the payback modeled before a line of code is written.

AI Agent in 30 Days

$7,500–$15,000

pilot · production with integrations $15,000–$45,000 · fixed

30 days

An AI agent working inside your business: answering questions from your live data, automating a process, handling the routine your team drowns in.

Pilot: one scoped workflow, working on your real data, in 30 days
Production: integrated with your systems (CRM, EHR, TMS, ERP), monitored, secured
Running costs from $500/mo (hosting, monitoring, model usage) – stated up front, not hidden

Agencies typically quote $75K–$180K for this class of system. You work directly with the engineer – and the code is yours.

Custom Software / SaaS

$20,000–$60,000

fixed scope

4–12 weeks

A real product, not a prototype: auth, payments, dashboards, admin, deployment. Built to be handed over – documented, tested, owned by you.

Full-stack build (Next.js / Python), cloud deployment included
Stripe billing, multi-tenant architecture, row-level security where it matters
Roughly half the typical US agency price for the same scope – same senior quality, zero handoffs

AI R&D – the hard problems

from $25,000

feasibility / proof of concept · production $50,000–$150,000

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.

Feasibility study with honest go / no-go verdict
Model training and evaluation with held-out testing – no cherry-picked demos
Experience with medical data compliance: HIPAA de-identification, IRB-approved pipelines

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.

Advisory: monthly working session + async access, roadmap ownership
Hands-on: 1–2 days a week embedded in your operation, building and shipping

AI Project Rescue

from $15,000

typical $25,000–$50,000

4–8 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.

Honest technical audit with evidence, not opinions
I have reverse-engineered and benchmarked a failed vendor ML codebase for a client – and told them exactly what was real and what was slideware

Support after launch: $1,500–$5,000/mo. Anything outside these packages: $200/hr.

Every engagement starts with the free 30-minute 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.

Loaded hourly cost$45/hr

$20$150

10 hrs / week× 52 weeks

× $45 / hr=

$23,400 / year

The audit costs $2,500. Those hours cost 9× that – every single year. And if the audit can't find them, it's free.

Find my 10 hours

Work

Real systems. Real numbers.

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

Designing a full-arch dental prosthesis takes a trained technician hours of CAD work. I built an engine that does it automatically: a raw intraoral scan goes in, a print-ready prosthesis design comes out – teeth, gum base, screw channels, all of it.

Hours of CAD work → minutes per case
ML models trained on ~450 real lab-made prostheses
0.9 mm median deviation from the technician's hand-made work; 100% watertight, printable output on a 72-case validation cohort
Web interface the surgeon uses today to generate and review designs

Computer vision3D geometryPyTorch

1 hr → 30 sec

permit processing time

Regulatory paperwork into decisions: 1 hour → 30 seconds

TruckRoute.AI – my own company

Oversize trucking permits are dense legal text describing an exact required route. Our AI reads the permit and turns it into the required turn-by-turn truck route.

Manual permit processing: about 1 hour → about 30 seconds
Patent pending · live in the US, Canada, and Mexico
Public-sector data partnerships with state and county transportation agencies

LLM document intelligenceRouting

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 – “where is load 4412,” “revenue this month vs. last,” “which drivers are free Friday” – and gets answers from the live TMS, instantly.

Answers reconcile to the penny against the company's own system
Automated daily dispatch reports and monthly revenue analytics
Codified the company's revenue-accounting rules – catching loads the reports had been missing

AI agentSystems integration

1,403

labeled surgical actions in the reference case

An operating room to a public AI dataset

A surgical practice in California

A production line for annotated surgical video datasets built to train medical AI: filming, multi-camera sync, surgeon commentary transcription, 6-layer annotation, and a fully compliant public release.

IRB-approved protocol, HIPAA Safe Harbor de-identification
Published on Hugging Face: the reference case alone carries 1,009 annotated frames and 1,403 labeled surgical actions
Reviewer feedback from a leading AI company called the annotation work “a valuable contribution”

Data engineeringCompliance

1 engineer

site, portal, payments, backend – end to end

A festival platform run by software

An international youth arts festival

Public site, participant portal with file uploads, online payments, organizer dashboard – on a self-hosted backend built for strict data-residency rules around minors' data.

Every application processed without manual triage
An AI connector lets the organizer manage applications in plain language, from a chat
Shipped and maintained end to end by one engineer

Full-stackAI integration

3 → 900

sales leads per day, same team

Prospecting that went from 3 buildings a day to 900

Commercial roofing pilot, Sacramento

Their sales prospecting was manual: pick a district, look up parcels, judge the roof, find the owner. A good day produced about 3 usable leads. I replaced the whole loop with a pipeline: public map data finds every commercial flat-roof building in a district, computer vision scores the roof condition from aerial imagery, and an automated parcel lookup attaches the owner. Open data in, a ranked call list out.

About 3 qualified prospects a day by hand → about 900 ranked leads in a single run
910 commercial buildings (~18.7M sq ft of roof) mapped at zero data cost
AI roof assessment at about $0.01 per building – the sales team starts the day with the worst roofs first
A follow-up imagery-quality check flagged 3 of the first 10 ranked leads as false positives and removed them, so the list stays trustworthy

Computer visionOpen dataLead generation

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

Buying intent gets posted in public groups and channels every day – and nobody has time to read them. I built a monitor that does: it scrapes public Facebook groups and Telegram channels on a schedule, matches posts against the keywords that signal a real customer, drops duplicates, and puts the rest in front of sales with a direct link to the post.

Runs itself on a 30-minute cycle – each pass fetches only what is new since the last one
Keyword rules and the watch list are editable by the client, not hard-coded by me
Every find is deduplicated by post, so the same lead never lands twice
Grew from an internal tool into a multi-tenant SaaS: per-tenant data isolation, billing, background workers

ScrapingAI agentSaaS

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.

Process

How we'll work

Call

Free, 30 minutes. You describe the operation; I ask where the hours go. No deck, no pitch.

Audit

1–2 weeks. The math: where AI pays in your business, in dollars and hours. Guaranteed: 10+ hours a week found, or it's free.

Pilot

30 days. The smallest build that proves value on your real data.

Production

Integrations, security, monitoring. You own the code and the accounts.

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.

About

The engineer you'll actually talk to

Photo – Andrii Bondarenko

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 Rocklin, 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.

The studio model is deliberate: no juniors, no handoffs, no offshore bench. You get one senior engineer with a business operator's judgment – and every dollar of your budget goes into the work.

Author of “Math, Not Magic” (Amazon)Featured in CEOWORLD Magazine2 peer-reviewed publicationsPatent pendingPublic dataset on Hugging FaceJudge, Int'l Business & Technology Award 2026

Drag to spin · click to read

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. Nothing in it 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.

Buy on Amazon

FAQ

Questions owners actually ask

Let's do the math on your business.

A free 30-minute 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.

Book a call (111) 111-1111

Rocklin, California · working with clients across the US