Charlotte · Enterprise AI

Enterprise AI built for Charlotte's banks, plants and health systems

Charlotte is a banking town that also makes steel, runs a utility and operates one of the country's largest health systems. All four are regulated, document-heavy and audited. I build AI that fits those constraints and moves a number your leadership already watches.

+20.4%Growth in real GDP of the Charlotte–Concord–Gastonia metro, 2018 to 2023 (computed from the BEA series charted below) Source
+13.8%Growth in total nonfarm jobs, 2020 to 2025 annual averages (computed from the BLS series charted below; 2020 was the pandemic low) Source
+10.1%Population growth of the Charlotte–Concord–Gastonia metro, July 2020 to July 2025, to 2,938,830 residents (computed from Census estimates) Source

Few metros concentrate this much regulated activity in one place. Bank of America and Truist are headquartered in Charlotte, and Wells Fargo runs its East Coast operations here. Honeywell, Nucor, Duke Energy and Sonic Automotive are based in the city, Lowe's is up the road in Mooresville, and Advocate Health, the parent of Atrium Health, has its headquarters on Blythe Boulevard. The region is also the largest manufacturing region in the Carolinas. That is a lot of model risk management, OCC and state examinations, safety programs and HIPAA in a single labor market.

It also means Charlotte companies have heard every AI pitch and have seen what happens when a proof of concept meets a model risk committee. My work starts where those pilots stall. I design and ship agentic workflows, retrieval systems and private model infrastructure with the documentation, evaluation and controls a second line of defense expects, and I tie every engagement to one KPI from day one. Fixed scope, fixed price, weekly demos.

Charlotte's industries, and where AI moves the number.

The sectors that anchor the Charlotte economy, and the specific work I do for each.
01 / Industry

Banking

Charlotte is headquarters to Bank of America and Truist and home to Wells Fargo's East Coast operations, which makes it one of the largest financial centers in the country. The work that consumes the most people here is the work regulators care about most: KYC refreshes, complaint handling, credit memos, policy interpretation and control testing.

How I help

Governed AI built to clear model risk review. Retrieval assistants that answer procedure and policy questions with citations to the controlling document, agents that draft credit memos and KYC refresh summaries for an analyst to approve, and complaint classification that routes and tags cases for UDAAP review. Each system ships with an evaluation set, a model inventory entry and logs your second line can test. The KPIs: analyst hours per file, complaint handling time and findings per audit.

Enterprise AI for Financial Services
02 / Industry

Energy and utilities

Duke Energy is headquartered in Charlotte. A regulated utility runs on engineering standards, switching procedures, regulatory filings and decades of field notes, and much of that knowledge sits with long-tenured staff rather than in a searchable system.

How I help

Knowledge systems that make standards, procedures and past work orders searchable in plain language, with answers pinned to the source page, for field crews, engineers and regulatory staff. Where the data is sensitive, deployment stays on private infrastructure. The KPIs: time to find the right procedure, repeat truck rolls and preparation time for regulatory responses.

Enterprise Knowledge Systems & RAG
03 / Industry

Manufacturing and industrial

The Charlotte region is the largest manufacturing region in the Carolinas. Nucor and Honeywell are headquartered in Charlotte and Ingersoll Rand in Davidson. Plants and industrial businesses here carry thick technical documentation, quality records, supplier paperwork and service manuals.

How I help

Assistants that let technicians query maintenance manuals and past failure reports, document processing for supplier certifications and quality records, and agents that draft nonconformance reports and quote responses from the relevant specs. The KPIs: mean time to repair, quote turnaround and quality escapes.

AI for Manufacturing & Supply Chains
04 / Industry

Health systems

Advocate Health, formed in 2022 when Atrium Health merged with Advocate Aurora Health, is headquartered in Charlotte and runs 69 hospitals across six states. Novant Health is the region's other major system. Both carry the prior-authorization, coding and documentation load that every U.S. provider does.

How I help

Prior-authorization packet drafting from the chart with citations, record summarization for care managers and utilization review, and staff-facing policy assistants that answer from approved content only. Private deployments where PHI must stay in-house. The KPIs: prior-auth turnaround, initial denial rate and documentation time per encounter.

HIPAA-Compliant Enterprise AI for Healthcare

Charlotte by the numbers.

Public data on the size and direction of the Charlotte economy.
Charlotte metro real GDPReal gross domestic product, Charlotte–Concord–Gastonia MSA, 2018 to 2023, billions of chained 2017 dollars
01002003002018201920202021202220232018: $171.6B2019: $177.5B2020: $179.1B2021: $190.5B2022: $197.3B2023: $206.5B$171.6B$206.5B
Show the numbers
Year$B
2018171.6
2019177.5
2020179.1
2021190.5
2022197.3
2023206.5

Source: U.S. Bureau of Economic Analysis via FRED. Series RGMP16740, millions of chained 2017 dollars, divided by 1,000 and rounded to one decimal. 2023 is the latest value in the series, which FRED marks as discontinued.

Charlotte metro jobsTotal nonfarm employment, Charlotte–Concord–Gastonia MSA, annual averages 2020 to 2025, thousands
1,1001,2001,3001,4002020202120222023202420252020: 1,215.3K jobs2021: 1,261.5K jobs2022: 1,317.6K jobs2023: 1,351.2K jobs2024: 1,367.8K jobs2025: 1,383.4K jobs1,215.3K jobs1,383.4K jobs
Show the numbers
YearK jobs
20201,215.3
20211,261.5
20221,317.6
20231,351.2
20241,367.8
20251,383.4

Source: U.S. Bureau of Labor Statistics via FRED. Annual average of the 12 monthly values of BLS CES series CHAR737NAN (not seasonally adjusted, thousands of persons), computed by the author and rounded half up to one decimal.

UNC Charlotte opened the first school of data science in the Carolinas in 2020, a joint effort of its computing, business, health and liberal arts colleges, and it offers an undergraduate degree in data science alongside graduate programs in data science and business analytics and in health informatics. The university sits next to University Research Park, one of the larger research parks in the country, and Davidson College adds a strong liberal arts pipeline north of the city.

The demand side is dominated by large, regulated employers: two bank headquarters and a major Wells Fargo presence, a utility, a steelmaker, an industrial conglomerate and a health system that runs 69 hospitals across six states. That shapes what AI looks like here. The winning projects are rarely the flashiest. They are the ones with clean evaluation, clear ownership and a paper trail that survives an audit.

I work with Charlotte teams remote-first from Minnesota and come to Charlotte for the sessions that deserve a room: the kickoff with the people who own the workflow, a working session with model risk, compliance or clinical leadership before anything goes live, and the launch. Everything else runs on a weekly demo of working software. Scope and price are fixed up front, the KPI is agreed in week one, and the deliverables include the documentation your governance process requires, so your team can own the system after I leave.

Questions from Charlotte teams.

Will your work pass our model risk management review?

That is the design goal from day one. Each system ships with a documented purpose and limits, an evaluation set with results, monitoring, change control and a clear human decision point. I build to the SR 11-7 style of review most banks use for models, so your validators get what they need instead of a demo.

Can we run models without sending data to a public API?

Yes. I design private deployments in your own cloud tenancy or on-prem, with open-weight models where they fit and commercial models under enterprise terms where they don't. The choice comes down to data sensitivity, cost and accuracy on your own evaluation set.

We're a mid-sized manufacturer, not a bank. Is this overkill?

No. The governance scales to the risk. A maintenance-manual assistant for a plant needs good retrieval and a feedback loop, not a model risk committee. The same discipline applies: one KPI, a fixed scope and weekly demos, sized to your operation.

How often will you be in Charlotte?

As often as it pays off. Typically that means kickoff, a key workshop and launch. The rest runs remotely, which keeps the budget on building rather than travel.

Put AI to work in Charlotte, tied to a number.

Tell me the process or the problem. You'll get a straight answer on what it's worth and what it would take.

Let's talk