If you've started looking at AI consultants for your Michigan business, you've probably already noticed the range is enormous — from solo freelancers to Deloitte subsidiaries, from offshore dev shops to local boutique firms. They all use the same language. They all promise ROI. Most of them have never been to Michigan.
This guide isn't a sales pitch. It's a buyer's guide — the 7 questions we think every Michigan business should ask any AI vendor before signing, and an honest breakdown of what local presence actually changes about an engagement.
Ask these questions of us too. If we can't answer them clearly, don't hire us.
What "Local" Actually Means for an AI Project
Local presence isn't about proximity for its own sake. It changes the engagement in three specific ways that matter for outcomes.
1. Michigan market context is not generic
The automotive supply chain in Southeast Michigan operates under dynamics that a consultant in Austin or New York simply doesn't know: OEM portal integrations, PPAP documentation cycles, Q1 launch pressure windows, the Going PRO and Industry 4.0 grants that can fund 50-70% of your project. A Michigan-based consultant has either worked in this ecosystem or with clients inside it. That knowledge is either there or it isn't — and it affects how they scope your project.
2. On-site access changes what gets built
The best AI projects start with someone standing on your shop floor, in your clinic, or riding along on a dispatch route. The process gaps that aren't in any documentation — the one where the quality tech manually logs a finding in two systems because the ERP integration never got finished, or the way dispatch actually works versus how the system thinks it works — those only surface in person. An offshore team builds to the spec they're given. A local team builds to what they actually observe.
3. Ongoing relationship, not offshore ticket queue
AI systems need tuning after deployment. Data distributions shift, edge cases surface, staff find workarounds. A local partner you can call and who can come back on-site handles this differently than a contractor in a different time zone working a ticket. That difference in accountability shows up in the 6-month performance numbers.
The Comparison in Plain Terms
| Factor | Michigan-Based Firm | National / Offshore Vendor |
|---|---|---|
| Grant knowledge | Knows Going PRO, Industry 4.0, Detroit Tech Fund — can structure your project to qualify | Typically no awareness of Michigan-specific programs; you leave money on the table |
| OEM/supply chain context | Understands PPAP, launch windows, Tier 2/3 dynamics, portal integrations | Generic manufacturing playbook that misses Michigan-specific compliance layers |
| On-site availability | Can be on-site within 24 hours for discovery, go-live support, and troubleshooting | Travel costs add 15-30% to project budget, or it's all remote |
| Network access | Referrals to MMTC, SBDC, Michigan Works!, bankers, CPAs who know grant programs | No local network; you're on your own for ecosystem navigation |
| Accountability | Reputation is built locally — strong incentive to deliver and maintain the relationship | No local reputation stake; easier to ship and move on |
| Ongoing support | Same team, same relationship, in-person when needed | Ticket-based; original team may not be available at month 6 |
The grant point is the most financially significant. Michigan manufacturers can recover $25,000–$37,000 on a $50,000 AI project through Industry 4.0 + Going PRO stacking. A national firm that doesn't know these programs exists costs you that money through ignorance alone.
7 Questions to Ask Any AI Vendor Before Signing
These questions work for any vendor — including us. The answers tell you almost everything.
Can you show me a specific workflow you've automated in our industry, and what happened to the KPIs after 90 days?
Any vendor can build a demo on fake data. You want evidence of a real deployment on real data, with a before-and-after you can evaluate. If they can't produce a case study or a specific reference, they're selling you a proof-of-concept.
Red flag: "We've done similar projects but can't share specifics." Push back — a signed NDA from a real client can usually cover anonymized metrics without revealing company identity.
Green flag: Specific numbers. "We reduced their dispatch planning time from 3 hours to 22 minutes. Here's how we measured it."
What happens if the system underperforms against your projections at 30 days?
Every vendor projects ROI. Few define what accountability looks like when those projections aren't met. You want this answered before you sign — and the answer should be in writing in your SOW.
Red flag: Vague answer, or "we'll work together to figure it out." That's not an accountability mechanism.
Green flag: "We include a 30-day checkpoint in every engagement. If the system isn't performing to projections, we diagnose and fix it — included in the engagement cost."
What does my team need to do after handoff — and what happens if a key person leaves?
AI systems that require constant technical maintenance you can't provide internally are a liability. The build should include training, documented SOPs, and a handoff designed for the technical reality of your team — not the technical assumption of the vendor.
Red flag: "You'll need someone technical to manage it." That sentence describes a dependency they created.
Green flag: "We train your team to run it, document everything, and build the system so that if your admin leaves, a replacement can pick it up within a week."
Do you know about Michigan's AI grant programs, and can you structure the project to qualify?
If a Michigan-based vendor doesn't immediately know what you're asking about — Going PRO, Industry 4.0, Detroit Tech Fund — they're not paying attention to the ecosystem they're selling into. This isn't a trick question. It's a basic knowledge check.
Red flag: "We're not familiar with those programs" or "you'd have to check on that separately." You just identified a vendor who will cost you $25,000+ through ignorance.
Green flag: Immediate fluency. They explain the programs without prompting, know the eligibility thresholds, and have structured compliant SOWs before.
Who actually does the work — and will I have direct access to them?
Many AI firms sell at the partner level and deliver at the offshore subcontractor level. This isn't inherently wrong, but you should know who is building your system, what their qualifications are, and whether you can communicate with them directly when something needs to change mid-project.
Red flag: Evasion about team composition, or "we'll assign the right resources." That usually means offshore junior developers managed by a domestic account manager.
Green flag: "Here's exactly who does the work. Here's their background. You'll have direct Slack access."
What's the fixed scope — and what happens when something is out of scope?
Time-and-materials engagements with no scope cap are how AI projects balloon from $40,000 to $120,000 with no clear reason. Fixed-scope engagements with a defined change order process protect you. Ask to see their change order template before you sign the SOW.
Red flag: "We work iteratively — it's hard to scope exactly." Iteration is fine. The inability to put a number on it is not.
Green flag: A detailed SOW with line-item deliverables, a fixed price or clear cap, and a change order process in writing.
Who owns the IP when the project is done?
Some vendors retain ownership of the custom code, models, and workflows they build — meaning you're paying to use a system you don't actually own. You want to own what was built for your business on your data. This should be explicit in the MSA.
Red flag: Vague MSA language around intellectual property, or "that's standard" when you ask about ownership. Standard for who?
Green flag: "You own 100% of the custom code, models, and workflows we build for you. We retain nothing."
What We Do at American AI Solutions
Since this article could end as pure theory, here's where we stand on each question:
- Case studies: We're in early engagements and building our reference library. We'll show you exactly what we built on the strategy call.
- 30-day accountability: Every engagement includes a 30-day ROI checkpoint. Underperformance = we fix it, included.
- Handoff design: Every system comes with training SOPs and is built so your team can run it without technical support after day 30.
- Grant structuring: We know Michigan's programs. We structure every Michigan engagement for Going PRO and Industry 4.0 compliance. We connect you with MMTC.
- Who does the work: David Calderon builds. If we bring in a subcontractor, you meet them and have direct access.
- Fixed scope: We use fixed-price SOWs with a defined change order process. No billing surprises.
- IP ownership: You own everything we build for you. It's in our MSA, plain English, no exceptions.
The AI consulting market is noisy. The questions above cut through it quickly. A vendor who answers all seven cleanly — with specifics, not generalities — is worth your time. One who deflects, hedges, or gives vague non-answers on more than two of them is not.
You're building something that will run your business. It deserves the same scrutiny you'd give any other major vendor relationship.
Ask Us These Questions Directly
Book a 30-minute strategy call. We'll answer all seven — on the record — and audit your highest-leverage AI opportunity at no cost.
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