AI consulting services
AI consulting that ends in a working system.
Most AI consulting ends with a deck. Mine ends with software running in your business. I map where AI pays, build the first system myself, and stay accountable for whether it works.
The problem
Why most AI consulting goes nowhere.
01
Strategy with nobody to build it
You get a roadmap, a slide about change management and an invoice. Then your team is supposed to figure out the rest.
02
Pilots that never ship
A proof of concept that impressed everyone in the demo and never touched a real customer, a real job or a real number.
03
Tools everywhere, owner nowhere
Six AI subscriptions across four departments, and nobody can say which one is paying for itself.
What I build
What an engagement actually includes.
An AI opportunity audit
A ranked list of where AI pays in your business, what it's worth, and what I'd leave alone. Built from how your company actually runs, not a vendor's use-case library.
A roadmap you can execute
Sequenced, with an owner and a measure for every step. Short enough to read in one sitting.
The first system, built
I don't hand off the build. The first system goes into production inside the tools you already run.
Vendor and model decisions
Which tools to keep, which to cancel, and which model fits which job. I build with all of them, so I don't have a favorite to sell you.
Your team, up to speed
Short, practical sessions so the people using the system understand it and trust it.
Ongoing ownership
Monitoring, fixes and the next system once the first is paying. For company-wide AI leadership, I also work as a Fractional Chief AI Officer.
Running now
Proof, not promises.
Commercial fire protection contractor
214K files
A field-ops assistant that knows every job file
Read the case →Multi-clinic physical therapy group
Every clinic
Authorizations and visit caps that track themselves
Read the case →Defense-sector training company
Qualified only
A recruiting pipeline that qualifies before it books
Read the case →How it works
Map. Build. Run.
Map
Find where AI pays
One call, then a short audit. I look at where time and money leak: the manual work, the dropped handoffs, the pipeline gaps. You get a ranked list of what to build first and what to leave alone.
Build
Inside the tools you already run
I build into your CRM, your inbox, Slack, your EMR or ERP. Most first systems go live in weeks, not quarters, and you see it working before we talk about the next one.
Run
Owned, watched, improved
Systems break when nobody owns them. I monitor, fix and improve what I build, and add the next system once the first one is paying for itself.
Questions
What people ask before we start.
How is this different from a big consulting firm?
A big firm sends a partner to the pitch and a team of analysts to the work. I'm the one on the first call and the one building the system. The engagement is smaller, faster and ends in software, not slides.
Do you only advise, or do you build too?
I build. Strategy without implementation is the most common way AI projects die, so every engagement includes shipping at least one working system.
How much does AI consulting cost?
It depends on the scope, so I don't publish a rate card. Every engagement has to make mathematical sense for your business, and we work out the numbers together on the first call.
What size companies do you work with?
Mostly founder-led and operator-led companies doing $1M to $50M a year. Big enough to have real processes, small enough that one person building the right system changes the business.
Do you work with companies outside Texas?
Yes. I'm based in Dallas-Fort Worth and work with companies anywhere in the US. Almost all of the work happens remotely.
Next step
Find out where AI pays in your business.
Thirty minutes. You describe how the business runs, and I tell you where I'd start and what I'd skip.