AI consulting and development · Charlotte, NC
AI consulting and development for Charlotte companies
The pilot works, and it's been parked since model risk asked how anyone would audit it, while your engineers went back to the roadmap. Our senior engineers build the version model risk can review, with agents that call the same governed actions a person would, retrieval that cites the policy behind each answer, and evals that score it. The bank towers along Tryon Street hold AI to that bar, as do Concord's race shops.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Charlotte, Concord, Gastonia, Rock Hill
Charlotte is the second-largest banking centre in the United States by assets, with energy and a growing fintech layer around it, and the buying culture is conservative, audit-first and unimpressed by a demo. If that describes your company, it describes how we build.
AzureTechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.
What ai consulting and 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.
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.
AI consulting in Charlotte
AI consulting in Charlotte, a banking centre with a Richmond Fed branch on East Trade Street, puts the model risk team in the first meeting. We document each proposed use case the way a bank's validation function expects, with data lineage, failure modes and the human checkpoint, so the projects that survive review are the ones we build.
The regulator asks about the model
Bank of America and Truist both keep their headquarters in Charlotte, and banks of that size answer to SR 26-2, the model risk guidance the Federal Reserve, the OCC and the FDIC issued in April 2026 to replace SR 11-7. It takes a risk-based approach tailored to each bank's model risk profile, and at a bank this size the automated credit and fraud decisions are the ones model risk looks at first.
Model risk should see an AI system in its first month, as its first real audience. A model that can't show what it was given, what it decided and which version decided it will draw a finding, and that record can't be added later to a system that never kept it. So we won't ship a decision path without it, even in a pilot.
Before any code, we write the documents your validators will ask for anyway. They set out what the model is for, where its inputs come from, its known limits and how its output will be monitored, written with your model risk team in the room. Then every decision logs its inputs, its version and its outcome, and validation starts with the evidence already there.
Clients we have done this for
The iLending work 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, which is what a bank's lending operations team wants from automation sitting on the path of a credit decision.
Automotive / Fintech
iLending
iLending's new loan application had stalled with another developer, running late, over budget and short of features, while call center agents kept turning refinance leads into loans by hand. TechFabric's engineers picked the project up, reviewed what had been built, and rebuilt the app day to day alongside iLending's own developers, automating lead and loan officer assignment, rate sheets and stipulation documents. Manual errors dropped and new agents got productive faster.
Also for
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.
Two weeks, fixed fee, and a written plan whether or not you build it with us.
Tell an engineer what you want to build
A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.
Around Charlotte
Charlotte's AI meetups and UNC Charlotte's institute
The Charlotte Artificial Intelligence Meetup Group, about 3,600 members, holds an online AI This Week discussion every week and meets in person every few months for talks, socials and hackathons on agents and applied AI. In University City, UNC Charlotte's College of Computing and Informatics calls its M.S. in Artificial Intelligence the first graduate AI programme in North Carolina, and the Charlotte AI Institute for Research runs ThinkAI meetups and a yearly symposium.
A lender or utility here buys AI through model risk review, which asks for things a demo can't show, such as what the system was tested on, how it fails and who signs off when it changes. The institute's symposium is a good place to hear researchers frame those questions. Put that evidence in the scope of the first project, so it's produced as the system is built rather than reconstructed for an examiner.
The Charlotte-Concord-Gastonia metro area. North Carolina: Anson, Cabarrus, Gaston, Iredell, Lincoln, Mecklenburg, Rowan and Union counties. South Carolina: Chester, Lancaster and York counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
Meetup · Weekly online, with in-person events every few months
Charlotte Artificial Intelligence Meetup Group
With about 3,600 members, the largest AI group in town mixes weekly online discussion with in-person hackathons on agents and applied AI.
Volunteer organisers. Rotates around Charlotte, including TEKsystems, 128 S Tryon St.
Conference · Annual, usually in April
Analytics Frontiers Conference (AFC)
UNC Charlotte's one-day conference has an explainable AI track, the topic a model risk reviewer will raise before anything else.
UNC Charlotte School of Data Science. Hilton Charlotte Uptown.
User group · Occasional events through the year
Charlotte Databricks User Group
The invite-only dinner it co-hosted with Databricks in March 2026 was pitched at senior data, AI and finance leaders, closer to budgets and governance than to code.
Volunteer organisers, part of the Databricks User Groups community. Uptown Charlotte, venue varies.
University · Ongoing, with an annual research symposium
Charlotte AI Institute for Research (CLTAI2), UNC Charlotte
UNC Charlotte's AI research institute takes industry partnerships and hosts ThinkAI meetups, a route to research help on a hard problem.
UNC Charlotte. UNC Charlotte; symposium at the Dubois Center, Uptown.
Conference · Annual, usually in March, with registration opening in the fall
Charlotte Women in Data Science (WiDS) Conference
Registration usually opens in the fall for this regional Women in Data Science conference, a strong place to meet data scientists before hiring.
Volunteers from local employers, hosted by UNC Charlotte School of Data Science. Charlotte, venue announced to registrants.
More in Charlotte (4)
- Graduate Programs in Data Science and Business Analytics (DSBA), UNC Charlotte
A graduate certificate and MS with core courses in data wrangling, statistics and coding, and electives in AI, deep learning and NLP. Evening classes are held in Center City.
Ongoing degree programme, fall and spring admission. UNC Charlotte Dubois Center, Center City.
- M.S. in Artificial Intelligence and M.S. in Computer Science, UNC Charlotte College of Computing and Informatics
Two graduate degrees from the College of Computing and Informatics. The college describes its MS in Artificial Intelligence as North Carolina's first graduate AI programme; the other is an MS in Computer Science.
Ongoing degree programmes. UNC Charlotte, University City; some evening classes at the Dubois Center.
- GDG Charlotte (Google Developer Group Charlotte)
A community group for developers using Google technologies. In 2026 it ran a Build with AI day with agentic AI workshops and a panel on Android app quality and Google Play.
Several events a year. Rotates between UNC Charlotte's campuses and CLT Startup House, 1717 Cleveland Ave.
- Charlotte Java User Group
A developer user group with evening talks on Java and software design, and lately on AI agents and MCP for developers. It also holds an annual hackathon.
Every one to three months, weekday evenings. Pinnacle Solutions Group, 5800 Old Pineville Rd, Suite 202.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
FAQ
AI consulting and development in Charlotte: common questions
Do you work with Charlotte companies?
Yes, and 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?
The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for 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 a bank's model risk team will ask for exactly that, whatever the regulators' guidance says is in scope. 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.
Also in Charlotte
What else we build for Charlotte companies.
Software development in Charlotte
Your lending or servicing system has outlived three teams, and the change the business wants is stuck until you hire engineers who understand it.
Databricks consulting in Charlotte
A Teradata or SQL Server estate with decades of inputs nobody dares retire won't migrate until someone can show the lineage of every number.
AI consulting and development elsewhere
The same work, in other metros. The full list is here.
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