AI development · Charlotte, NC
AI development for Charlotte companies
Charlotte is the second-largest banking centre in the United States by assets under management, with energy and a growing fintech layer around it. The buying culture reflects that: conservative, audit-first, and unimpressed by a demo.
An agent in a bank does not get a private write path. It calls the same governed action a person would, passes the same policy checkpoints, and leaves the same evidence. That is the only version we build.
Founded
2017, and still independent
Bench
115+ people, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Charlotte, Concord, Gastonia, Rock Hill
What ai development covers
Agents that hold state
A task that runs for three days, calls six systems and waits twice on a person cannot live in a request handler. We build agents on a durable runtime, so a deploy in the middle of a run does not lose the run, and a retry does not send the same email twice.
Retrieval that cites what it used
An answer nobody can trace is an answer nobody can defend. Retrieval is built so every response carries the documents behind it, which is what makes the difference between a demo and something a regulated team is allowed to ship.
Evaluation, before and after
Without a score, every prompt change is a matter of opinion. We put deterministic scorers and model-based judges in front of the thing so a change ships with a number attached rather than with a feeling.
Human approval where it belongs
Some actions should stop and wait for a person. That gate is part of the system rather than a policy document, so an agent that wants to issue a refund pauses, the approval is recorded, and the run picks up where it left off.
Cost you can see
Model spend, retrieval infrastructure and the review time a system still needs are the numbers that decide whether it stays live after the first quarter. They get instrumented at build time, not discovered on an invoice.
Governed data access
An agent reads through the same grants a person would. On Databricks that is Unity Catalog, so a model that tries to reach a table it has no grant for fails the way any principal fails, rather than because the prompt asked it nicely.
Work a Charlotte buyer would recognise
iLending is a refinancing platform, which is close enough to the work this market buys that the architecture transfers directly.
Automotive / Fintech
iLending
TechFabric automated lead and loan officer assignment, rate sheet processing, and stipulation document management, and improved CRM integration and API performance. Manual errors dropped and agent onboarding got faster.
The regulator asks about the model
FFIEC guidance on model risk management applies whether or not anybody called it a model, and an automated credit decision nobody can explain is a finding. Explainability has to be designed in, because it cannot be added to a system that did not record its reasoning.
None of that is unusual for Charlotte, and none of it is a reason to build slowly. It is a reason to decide where the evidence comes from before the first handler is written, because the alternative is reconstructing it later from logs that were not designed to answer the question.
How an engagement runs
01
Two weeks, fixed fee
An AI Readiness Assessment reads what you already run, names the use cases that will survive your data and your permissions, and puts a number on what each will cost to operate. It ends in a written document that is yours either way.
02
One system, named
We pick the first thing to build with you and say what done looks like before starting. A first system that reaches production beats three that reach a demo.
03
Build it with your team
Your engineers are in the repository with ours from the first week. The pattern has to be one they can extend after we leave, which does not happen if they meet it at handover.
04
Run it, then hand it over
We stay on the pager while it settles, because the design decisions look different when the person making them is the one being woken. Handover happens when it is boring, not when the invoice is due.
Where we work from
TechFabric is headquartered in Gilbert, Arizona, in the Phoenix metropolitan area, and works with companies across the United States. We do not keep an office in Charlotte and are not going to pretend otherwise on a page you found by searching for one.
Arizona does not observe daylight saving, so we are two hours behind you from November to March and three hours behind from March to November. That leaves most of your afternoon overlapping our morning, which is usually enough.
Most delivery is remote or hybrid because that suits the work. We travel for the parts that go better in a room, which is usually discovery, workshops and the opening weeks of a build.
Headquarters
1530 E Williams Field Rd, Ste 201Gilbert, AZ 85295
Phone
+1 (480) 681-6806Also
Amsterdam, Dnipro, Hyderabad
FAQ
AI development in Charlotte: common questions
Do you work with Charlotte companies?
Yes. TechFabric is headquartered at 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295, and works with companies across the United States. Arizona does not observe daylight saving, so we are two hours behind you from November to March and three hours behind from March to November. That leaves most of your afternoon overlapping our morning, which is usually enough.
Do you have an office in Charlotte?
No. We have one office and it is in Gilbert, Arizona. Most of this work is remote or hybrid because that is what suits it, and we travel for the parts that go better in a room, usually discovery, workshops and the opening weeks of a build.
How do you handle model risk management?
An automated decision records what it was given, what it decided and under whose authority, because FFIEC guidance applies whether or not anybody called it a model. Explainability is designed in, since a system that did not record its reasoning cannot have it added later.
What kind of AI development do you do?
Agents that carry state across a long task, retrieval that cites what it used, workflow automation that survives a restart, and the evaluation that tells you whether any of it got better. The common thread is that it has to run unattended and be explainable afterwards, which is a different problem from getting a good answer once.
How does an AI engagement start?
Usually with something short and fixed so the cost is known before you commit. The AI Readiness Assessment runs two weeks for a fixed fee and ends with a written deliverable that is yours whether or not you continue.
AI development elsewhere
Nine of the metros we publish for. The full list is here.
New York, NY
New York, Brooklyn, Queens
Boston, MA
Boston, Cambridge, Somerville
Atlanta, GA
Atlanta, Alpharetta, Marietta
Miami, FL
Miami, Fort Lauderdale, Coral Gables
Philadelphia, PA
Philadelphia, King of Prussia, Wilmington
Detroit, MI
Detroit, Ann Arbor, Dearborn
Tampa, FL
Tampa, St. Petersburg, Clearwater
Chicago, IL
Chicago, Naperville, Evanston
Dallas, TX
Dallas, Fort Worth, Plano