AI consulting · Phoenix metro
AI consulting in Phoenix, from people who ship the thing
TechFabric provides AI consulting in the Phoenix metropolitan area from an office in Gilbert, Arizona. We help companies across Phoenix, Scottsdale, Tempe, Mesa and Chandler work out which AI work is worth doing, what it will cost to run, and what has to be true before it reaches production.
The useful version of this is not a strategy deck. It is an engineer who has put these systems into production telling you which of your three ideas will survive contact with your data.
Office
1530 E Williams Field Rd, Ste 201Gilbert, AZ 85295
Phone
+1 (480) 681-6806Serving
Phoenix, Scottsdale, Tempe, Mesa, Chandler
Bench
115+ people, 80 Databricks-certified
Why Phoenix companies work with us
Advice from the people who build it
The same engineers do the assessment and the build. That is deliberate: a recommendation nobody has to implement is a recommendation nobody has to be right about.
Fixed length, fixed fee, written output
A readiness assessment runs two weeks and ends in a document. You own it either way, and it is specific enough to hand to another firm if you would rather.
What it will cost to run, not just to build
Model spend, retrieval infrastructure and the human review an agent still needs are the numbers that decide whether a system stays live. We put them in front of you before the build rather than after.
One senior team
115+ people, 80 of them Databricks-certified, averaging fifteen years of production experience each.
What ai consulting covers here
What you already run, read properly
Before any recommendation there is a read of the data, the permissions and the platform. Most AI programmes are not blocked by the model. They are blocked by data nobody trusts and grants nobody can explain.
Use cases ranked by what will survive
Every company arrives with a list. The useful output is that list reordered by which ones your data and your approvals can actually support, and an honest note on the ones that cannot.
Run cost, not just build cost
Model spend, retrieval infrastructure and the human review a system still needs are what decide whether it is alive in a year. Those numbers go in the document, before the build rather than after.
Tools and spend, audited
Three years of buying leaves most companies with overlapping seats, a tenancy nobody owns and pilots nobody measured. The AI Tools Assessment puts the seats and the outcomes on the same page.
Governance that is a build task
Approval gates, audit trails and data grants are architecture, not policy. We say which ones your first system needs so they are designed in rather than retrofitted under pressure.
A plan somebody can execute
Specific enough to hand to another firm if you would rather. That is the test we hold it to, and it is why the engineers who would build it are the ones who write it.
Where we have done this work
Named sectors rather than a logo grid. Every engagement referenced here is written up on this site with the client named, because a claim you cannot check is not proof.
Financial services and lending
Where the audit question arrives first and an unexplainable automated decision is not an option. Auto Approve, iLending and SWBC are on this site with the work named.
Sport and media
Audience data and live delivery, where the interesting constraint is scale under a deadline nobody controls.
Manufacturing and distribution
Companies whose AI question sits on top of a modernisation that was already overdue, and where sequencing the two is most of the advice.
Consumer products
Commerce and the data behind it, judged on peak rather than on average.
How an engagement runs
01
A conversation, not a pitch
First call is with an engineer who has put these systems into production. You will get an opinion on that call, including when the opinion is that you do not need us yet.
02
Two weeks, fixed fee
The assessment. A read of the platform, the data and the permissions, a ranked set of use cases, operating costs, and a named first system. Fixed length and fixed price, agreed before it starts.
03
A written document
You own it whether or not you continue, and it is written to be executable by someone else. Advice you cannot act on without the person who gave it is not advice.
04
Build, if you want us to
The same engineers carry on into the build. That is the arrangement that keeps an assessment honest, because the people writing it know they will have to deliver it.
Production software, built from the Phoenix metro.
FAQ
AI consulting in Phoenix: common questions
Do you offer AI consulting in Phoenix?
Yes. TechFabric is in the Phoenix metropolitan area, at 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295, and we consult for companies across Phoenix, Scottsdale, Tempe, Mesa and Chandler. We also build what we recommend, which is the part that keeps the advice honest.
What does an AI consulting engagement include?
A read of what you already run, an honest answer on which use cases will survive your data and your permissions, an estimate of what each will cost to operate rather than only to build, and a written plan with a first system named. Two weeks, fixed fee.
How is this different from a strategy firm?
A strategy firm hands over the deck and leaves. The engineers who write our assessment are the ones who would build it, so the plan has to be something they are prepared to be measured against. If you want only the assessment, that is a complete engagement and you keep the document.
What does it cost?
The fixed-fee assessments are priced per engagement and the number is agreed before the work starts, so there is no hourly meter running while you decide. Talk to an engineer and you will have a figure in the first conversation.