Minneapolis–St. Paul · Enterprise AI

Enterprise AI for the Twin Cities, built by someone who lives here

I'm an independent AI consultant based in the Twin Cities. I build agentic workflows, retrieval systems and private AI infrastructure for the regulated companies that anchor this economy, and every engagement is tied to a KPI from the first day.

18Minnesota companies on the 2026 Fortune 500, 16 of them headquartered in the Twin Cities area Source
+7.9%Real GDP growth in the Minneapolis–St. Paul metro, 2018 to 2023 (computed from the chart data below) Source
15,000Health organizations operating in the Twin Cities region Source

The Twin Cities punch well above their population. About 3.8 million people live in the metro, yet Minnesota placed 18 companies on the 2026 Fortune 500, and all but two of them are headquartered in the Twin Cities area: UnitedHealth Group in Minnetonka, Target and U.S. Bancorp in Minneapolis, 3M in Maplewood, General Mills in Golden Valley, Ecolab in St. Paul, and a dozen more. That concentration shapes what AI work looks like here. The buyers are large, regulated, risk-aware and already running serious data teams. They don't need a demo. They need systems that pass security review, survive an audit and move a number the CFO tracks.

That is the work I do. I spent 20 years in sales, paid acquisition, marketing technology, conversion optimization and analytics, including more than $50M in managed ad spend, before focusing on enterprise AI. Now I design, build and tune agentic workflows, RAG and knowledge systems, and on-prem or private AI infrastructure, along with the security and compliance work that has to come with them. Minnesota is home, so for Twin Cities teams the kickoff, the workshops and the launch happen in the same room.

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

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

Healthcare, payers & medical technology

Health is the Twin Cities' signature industry. UnitedHealth Group, ranked No. 3 on the 2026 Fortune 500, is headquartered in Minnetonka. Medtronic runs its operational headquarters here, Solventum is based in Maplewood, and Greater MSP counts more than 500 medical device companies in the region. The work is document-heavy, audited and unforgiving of errors.

How I help

I build retrieval systems that let clinical operations, utilization management and quality teams query policies, coverage criteria and SOPs with citations back to the source paragraph. For medtech, I build intake agents that classify complaint records and pull the facts a regulatory reviewer needs, with a human sign-off step and a full audit trail. Everything can run inside your own cloud tenant or on-prem so protected health information stays put. The KPIs are turnaround time per case and first-pass accuracy against your reviewers.

HIPAA-Compliant Enterprise AI for Healthcare
02 / Industry

Banking, wealth management & insurance

Minneapolis and St. Paul carry an unusual stack of financial institutions for a metro this size. U.S. Bancorp, Ameriprise Financial and Thrivent are headquartered in Minneapolis, and Securian Financial is in St. Paul. All four operate under heavy regulatory oversight and serve customers through large advisor and service teams.

How I help

Advisors and service reps lose minutes on every call hunting through product guides, procedures and compliance bulletins. I build knowledge assistants grounded in your approved content, with answers cited and logged for supervision. On the risk side, I build agents that pre-assemble evidence for fraud and anti-money-laundering alert reviews so analysts start with a packet instead of six open screens. The KPIs are average handle time, alerts cleared per analyst per day, and escalation rate.

Enterprise AI for Financial Services
03 / Industry

Manufacturing, food & agriculture

The metro's industrial base is broad: 3M and Solventum in Maplewood, General Mills in Golden Valley, Ecolab in St. Paul, Land O'Lakes in Arden Hills, CHS in Inver Grove Heights. These companies run plants, labs and supply chains across many countries, and a lot of their operational knowledge lives in specs, batch records and the heads of senior technicians.

How I help

I build knowledge systems over maintenance logs, SOPs, specifications and quality records so a technician on second shift gets the same answer as the engineer who wrote the procedure. I also build document processing for supplier certificates, spec sheets and quality paperwork. Where formulations and process data are sensitive, models run on private infrastructure. The KPIs are mean time to resolution on line issues, unplanned downtime, and hours spent on document review.

AI for Manufacturing & Supply Chains
04 / Industry

Retail & logistics

Target is headquartered in downtown Minneapolis, Best Buy in Richfield, and C.H. Robinson, the freight and logistics company, in Eden Prairie. Their margins depend on thousands of small decisions a day about inventory, pricing, carriers and exceptions.

How I help

I build decision-support agents that watch operational data, flag exceptions and draft a recommended action with the reasoning attached, so planners and operators approve instead of starting from scratch. Typical targets are shipment exception handling, vendor inquiry triage and demand signal summaries for planners. My background in paid acquisition and conversion work also makes customer-facing use cases a natural fit. The KPIs are exceptions resolved per hour, cost per resolved case and forecast error.

Decision Intelligence & Predictive Analytics

Minneapolis by the numbers.

Public data on the size and direction of the Minneapolis–St. Paul economy.
Minneapolis–St. Paul metro real GDPReal GDP of the Minneapolis-St. Paul-Bloomington, MN-WI MSA, billions of chained 2017 dollars, 2018 to 2023
01002003002018201920202021202220232018: $265.7B2019: $270.1B2020: $260.6B2021: $275.7B2022: $281.3B2023: $286.7B$265.7B$286.7B
Show the numbers
Year$B
2018265.7
2019270.1
2020260.6
2021275.7
2022281.3
2023286.7

Source: U.S. Bureau of Economic Analysis via FRED. FRED series RGMP33460 (millions of chained 2017 dollars, annual), converted to billions and rounded to one decimal. FRED marks this series as discontinued; 2023 is the latest value published.

Minneapolis–St. Paul metro nonfarm jobsTotal nonfarm employment in the Minneapolis-St. Paul-Bloomington, MN-WI MSA, annual average, thousands, 2020 to 2025
1,8001,9002,0002,1002020202120222023202420252020: 1,844.6K jobs2021: 1,888.7K jobs2022: 1,939.3K jobs2023: 1,969.2K jobs2024: 1,985.8K jobs2025: 1,995.5K jobs1,844.6K jobs1,995.5K jobs
Show the numbers
YearK jobs
20201,844.6
20211,888.7
20221,939.3
20231,969.2
20241,985.8
20251,995.5

Source: U.S. Bureau of Labor Statistics via FRED. FRED series MINN427NA (BLS State and Area CES, monthly, seasonally adjusted, thousands). Annual values are the average of the 12 monthly values for each year, computed by us and rounded to one decimal.

The University of Minnesota anchors the local AI talent pipeline. In March 2026 it launched an AI Hub led by its first vice provost for AI, with a remit that spans research in agriculture, medicine and materials science, training for working professionals, and governance frameworks for AI use across the state. Its Minnesota Supercomputing Institute provides the GPU capacity behind the university's AI Makerspace. On the industry side, Medical Alley, the health and life sciences association, counts more than 800 health and technology organizations in its network and is headquartered in the Twin Cities.

The practical upshot for a Twin Cities company: the talent and infrastructure exist locally, but most enterprise AI programs here stall in the same place, between a promising pilot and a production system that security, compliance and the business will all sign off on. That gap is where I spend my time.

Minnesota is my home base, so working with a Twin Cities company is simple. I'm a short drive from Minneapolis, St. Paul and the suburban corporate campuses, which means the kickoff, the process-mapping workshops with the people who do the work, and the launch can all happen on-site without travel budgets. Between those sessions the work runs remote: fixed scope, fixed price, a working demo every week, and a KPI agreed before any code is written. If the number isn't moving, you'll see it in the weekly demo, not in a final report.

Questions from Minneapolis teams.

Can you work on-site at our office in Minneapolis, St. Paul or the suburbs?

Yes. I'm based in Minnesota, so on-site time for kickoffs, workshops, stakeholder reviews and launches is easy to schedule and doesn't add travel cost. Day-to-day build work runs remote with weekly demos.

We handle protected health information. Can the models run inside our environment?

Yes. I design for private deployment in your own cloud tenant or on-prem hardware, with access controls, logging and data-flow documentation your security and compliance teams can review. Nothing leaves your boundary unless you decide it should.

We already bought Copilot or ChatGPT Enterprise licenses. Why would we need a consultant?

General assistants help individuals write faster. They don't redesign a claims intake process, connect to your systems of record, or report against a business KPI. I build the specific workflows and retrieval systems that sit on your data and move one measured number, and I make them pass your security review.

How is an engagement priced?

Fixed scope and fixed price, agreed up front, tied to a KPI we define together on day one. You see a working demo every week, so there are no surprises at the end.

Put AI to work in Minneapolis, 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