Operational AI, not marketing AI
We Don't Automate Your Ads. We Automate Your Shop.
Embedded operational AI for multi-location auto shops — staffing, training, and dashboards built from your own ticket data, not a template.
01 — The Problem
Where shops actually bleed money
02 — What We Do
Three things change: throughput, revenue per RO, and technician utilization.
Operational Dashboards
See what's actually happening across every bay, every shift, every location — in real time, not in a monthly report.
AI-Powered Staffing & Forecasting
Know how many technicians you need on a Tuesday in March before you're short-staffed on it.
Embedded Training Systems
Training that survives turnover because it lives inside the workflow, not in a binder nobody opens.
Change Management
ADKAR-based rollout, so the system doesn't get abandoned two weeks after we leave.
We don't sell retainers. We build systems that become load-bearing — high switching cost through usefulness, not contracts.
03 — How We're Different
Not another AI agency you've already talked to.
Hover or tap a row to flip it
We are not a software vendor.
We don't make money when you subscribe to another tool. We make money when your shop does better.
Our models are quantitative, not magic.
That means we know when your shop's pattern has genuinely changed — not just had a bad week. Change-point detection, signal analysis, uncertainty modeling — the same reasoning applied to your ticket data as to any rigorous analytical system.
We work with one shop at a time.
Intentionally boutique. You get a senior consultant, not an account manager.
04 — Our Process
A real methodology, not vibes.
Scope the Real Problem
We don't start with a tool. We start with a conversation about where your operation is breaking. Most AI projects fail because they solve the wrong problem.
Map Stakeholders & Change Dynamics
Who needs to use this system? Who might resist it? We use four-frame analysis and ADKAR to understand the human side before we write a line of code.
Prototype Against Your Data
We build a working prototype as fast as possible. Then we ask for one thing: a sample of your real operational data. This is where most consultants stop — it's where we start. Your data stays yours — we work from anonymized exports, and it's never used outside your engagement.
Validate & Iterate
The prototype goes into one location, one team, one workflow. We measure, adjust, and prove the model before scaling.
Embed & Transfer
We build systems designed to run without us. We train your managers to be the trainers. We don't want you dependent on us — we want you dependent on the system.
05 — Proof of Work
Currently in active engagements — not case study PDFs.
Currently in active engagements with partners in the automotive service space. Our prototype is live and being validated against real operational data. That's the honest state of things — and it's further along than most consultants get before they start selling.
Methodology grounded in
No fake testimonials. No inflated case studies. No claims of scale we haven't earned yet — the work itself is proof enough.
06 — About
I'm not an AI vendor.
I'm a mathematician and systems thinker who spent time understanding how operations actually break before building anything to fix them. GZaxiom starts with the problem, not the pitch — that's a consultant's posture, not a vendor's.
- Mathematics & Data Science — Vanderbilt University
- M.S. in Artificial Intelligence — Vanderbilt (inaugural cohort, scholarship recipient)
- A2PS — pre-cryptographic authentication for industrial devices
- Based in Nashville, TN
Start with a problem, not a pitch.
Tell us where your operation is breaking. We'll spend an hour against your own data — not a sales deck.