AI consulting and development · Detroit, MI
AI consulting and development for Detroit companies
Your AI pilot works in the demo, and nobody on the roadmap has the engineers to put it into production beside the systems it reads. We build the agents, the integration with those systems and the approval gate a person signs, with senior engineers you meet before work starts. Around Detroit that means automotive suppliers and captive lenders first, and a Midtown hospital group or a freight broker at the Ambassador Bridge the same way.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Detroit, Ann Arbor, Dearborn, Troy
If you run a parts supplier in Troy or Auburn Hills, a captive finance arm downtown or a mobility startup at Michigan Central in Corktown, your data estate was probably designed for a different decade and your AI question arrives on top of it. Automotive finance is where most of our published work started, so that inheritance is familiar ground.
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 Detroit
Most AI consulting in Detroit, from the suppliers in Troy to the auto lenders downtown, starts on a data estate built for a different decade. We assess which supplier, telematics and finance data is usable as it stands, rank use cases by how much rework they need first, and give you the order in which to fund them.
A supplier is audited against contracts it didn't write
Detroit's carmakers sit within a short drive of each other, GM downtown, Ford in Dearborn and Stellantis in Auburn Hills, and the suppliers in Troy, Southfield and Livonia sell to all three and often to the German makers too. Volkswagen, BMW and Mercedes-Benz ask for a TISAX assessment before they share prototype or project data, so a tier-two supplier is audited against a standard it never negotiated.
Most suppliers treat the assessment as a document exercise, with policies written the month before the auditor arrives. Then the policies describe access the systems can't enforce. We'd rather build the controls into the software itself, with access set per role, a change history that can be shown on request and a dependency list you can account for, so the assessment reads what's already true.
We map where customer data lands before anything else, from EDI feeds and engineering drawings to quality records, and who can read each. That map sets the order of work. The system holding an OEM's prototype data gets its access model first, even when a different system is the one everyone complains about.
Clients we have done this for
Auto lenders and captive finance arms run processes that can't stop halfway, and repossession is a legally sensitive one. This study shows that process rebuilt on Temporal, so every step is recoverable and the full history of what happened is there afterwards.
Automotive / Fintech
Location Services
A wrongful repossession, and the penalty that follows, can start with one API call nobody saw fail. Location Services' software sometimes didn't tell a vendor an assignment was closed, and nothing retried the call. Our senior engineers rebuilt that process as a durable workflow on Temporal and put it into production, so every close retries on its own, alerts the operations team when retries run out, and keeps a full history.
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 Detroit
Applied AI from Woodward Avenue to Ann Arbor
Detroit's applied AI talk leans toward experience reports. BeyondConf, subtitled Moving Beyond the AI Hype, gives 250 practitioners a day of agent and RAG project write-ups at The Department at Hudson's downtown, and GDG Detroit and its neighbouring groups open Michigan DevFest with an AI hackathon in the Little Caesars building on Woodward. Wayne State's MS in Artificial Intelligence has an industrial AI major taught by Industrial and Systems Engineering.
That industrial major is the telling detail. An agent in a supplier plant's quality loop, or in an auto lender's servicing queue, fails by passing a bad part or misstating a payoff, and neither failure shows up in a demo. It shows up weeks later, in a recall or a complaint. When we build an agent for that kind of work, the person who signs off is a step the runtime waits for.
The Detroit-Warren-Dearborn metro area. Michigan: Lapeer, Livingston, Macomb, Oakland, St. Clair and Wayne counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
Conference · 5 November 2026
BeyondConf 2026: Moving Beyond the AI Hype
Reports from real agent and RAG projects fill much of this 250-person day at Hudson's, the nearest thing to a reference call without asking a vendor.
Beyond Conference, with Agile & Beyond. The Department at Hudson's, 1000 Nick Gilbert Way, Downtown.
University · Ongoing degree programme
Master of Science in Artificial Intelligence, Wayne State University
Wayne State's industrial AI major, taught by Industrial and Systems Engineering, turns out engineers who think about plants before chat windows.
Wayne State University College of Engineering. Wayne State University, Midtown Detroit.
Meetup · Roughly monthly, weekday evenings
Data in the D Meetups
Conversation over a pint at breweries out toward Ann Arbor is how you learn which local teams already run models in production and what broke first.
Data in the D, a volunteer data community. Rotates around metro Detroit and Ann Arbor, often at breweries.
User group · Several events a year
GDG Detroit (Detroit Google Developer Group)
Hackathons and AI workshops through the year, often at Wayne State's engineering college, give your developers a low-stakes place to try Google's AI stack.
Google Developer Groups volunteers. Rotates; often Wayne State College of Engineering, 5050 Anthony Wayne Dr.
Conference · 13 to 14 November 2026
Michigan DevFest + AI Hackathon 2026
Go for the Friday hackathon at Little Caesars headquarters, where a day spent building with agents shows how much of a demo survives real inputs.
GDG Detroit and neighbouring Google Developer Groups, with Compass Detroit. Little Caesars headquarters, 2125 Woodward Ave, Downtown Detroit.
More in Detroit (3)
- Michigan Python
A Python user group with monthly talks you can attend in person or online. It meets in Ann Arbor, at the western edge of the Detroit region.
Monthly, usually the first Thursday evening. Cahoots, 206 E Huron St, Ann Arbor, also online.
- Master of Science in Data Science and Business Analytics, Wayne State University
A practitioner master's offered jointly by the engineering college and business school, with real-world projects in manufacturing, supply chain, finance and healthcare.
Ongoing degree programme. Wayne State University, Midtown Detroit.
- Databricks Detroit SouthEast Michigan User Group
The Databricks user group for Southeast Michigan, planning a meetup at least once a quarter. Its September 2026 evening had a Databricks platform overview and a talk from CEI, a Databricks partner, and its speaker call asks for supply chain, manufacturing and finance use cases and lessons from moving pilots to production.
At least quarterly, plus online sessions. Venues vary; September 2026 at 100 Proof by Detroit City Distillery, 1000 Gratiot Ave.
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 Detroit: common questions
Do you work with Detroit 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 Detroit?
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.
Can you meet OEM cybersecurity requirements as a supplier?
We build to what those clauses require, which is controlled access, a demonstrable change history and a software supply chain you can account for. Automotive finance and mobility data is the largest concentration in our published work, so the requirements are familiar rather than novel.
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 Detroit
What else we build for Detroit companies.
Software development in Detroit
The software your business needs keeps slipping down the roadmap because every engineer you have is keeping an older system alive.
Databricks consulting in Detroit
A migration off an on-premises warehouse that stalled halfway leaves two copies of every table and an auditor asking which one is true.
AI consulting and development elsewhere
The same work, in other metros. The full list is here.
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