AI consulting costs between $5,000 for a readiness assessment and $150,000+ for full implementation, with most mid-market companies seeing ROI within 6-12 months. Third Coast AI, based in West Michigan, has helped companies automate over 200 hours of routine work per year, cut contractor costs by 60%, and achieve a 17-month payback period on a $50,000 AI investment. According to McKinsey's 2025 Global AI Survey, 72% of companies now use AI in at least one business function — up from 55% the year prior — but most still struggle with implementation. That's where AI consulting bridges the gap.
"The biggest mistake I see businesses make is buying AI tools before understanding their workflows," says Jack Ogilvie, founder of Third Coast AI. "A $5,000 assessment saves you from a $100,000 mistake. We built 15 production AI agents at our own agency before we ever consulted for anyone else — that hands-on experience is what separates real consulting from strategy decks that collect dust."
This guide covers what AI consulting is, who needs it, what it costs, how to evaluate firms, and what success actually looks like. Whether you're a manufacturer in Grand Rapids, a healthcare provider in Kalamazoo, or a professional services firm in Holland, this is the definitive resource for understanding AI consulting in Michigan.
AI consulting is strategic guidance on implementing AI in your business. Unlike generic IT consulting, AI consulting focuses specifically on identifying automation opportunities, building custom solutions (often AI agents), and measuring real ROI. According to Gartner, organizations that engage specialist AI consultants are 2.5x more likely to move past the pilot stage into production deployment.
A comprehensive AI consulting engagement includes:
Good AI consulting is hands-on. It's not just a strategy deck you file away. It's someone working with your team, understanding your workflows, building solutions, and making sure they work.
You need AI consulting if:
You don't need AI consulting if you just need help using ChatGPT, or if your workflows are already heavily automated, or if your bottleneck isn't labor but something else (supply chain, market demand, product quality).
A consultant meets with your leadership and operational teams to understand:
This isn't a sales call. The consultant should be asking specific questions about your actual workflows, not trying to fit you into a pre-built solution.
You get a clear proposal that says:
A good proposal is specific. It names actual workflows, gives actual numbers, and doesn't oversell. If a consultant tells you "we'll save you 50% on labor," that's a yellow flag unless they can explain exactly how.
Depending on scope, this might be building a custom AI agent, integrating an existing tool into your systems, or fine-tuning a model for your specific use case.
During this phase, the consultant should be:
The solution goes live. Your team starts using it. The consultant monitors for issues and ensures your team is comfortable maintaining it long-term.
You track actual results: hours saved, errors reduced, faster output, whatever metric you care about. This is where a lot of AI projects fall apart. Don't skip this part.
AI Readiness Assessment: $5,000 - $20,000 depending on company size and complexity
Custom AI Agent Development: $25,000 - $150,000+ depending on complexity and integration requirements
Full Transformation Projects: $50,000 - $250,000+ for building multiple agents, integrating systems, and training teams
Cost factors include:
Real case study: Dig Solutions invested $50,000 in AI consulting and agent development with Third Coast AI. Result: 200+ hours of work automated per year, 60% reduction in contractor costs, and $198,000 in projected annual savings — a 17-month payback period (Third Coast AI, 2026).
According to Deloitte's 2025 State of AI report, companies that invest in AI consulting see an average 3.5x return on their investment within 18 months. The key is starting with high-impact, low-complexity workflows — which is exactly what a good assessment identifies.
"We tell every client the same thing: start with one workflow that costs you real money and automate that first," says Jack Ogilvie. "Once you see a 15-agent system running in production and saving $198,000 a year, the question stops being 'should we invest in AI' and becomes 'what do we automate next.'"
Don't accept vague promises. Ask:
Can they show you code? Have they built and deployed AI agents? Or are they consulting strategists who've never actually built anything?
The best AI consultants are people who've built solutions, not just studied them.
Do they listen to your business constraints? Do they explain things clearly or hide behind jargon? Would you want to work with these people for 3+ months?
Pros: Full control, knowledge stays with your team. Cons: Takes 6+ months to hire and onboard, expensive ($100k-$150k/year salary), you need multiple people for depth. Makes sense if you're doing AI work continuously.
Pros: Fast, low upfront cost. Cons: Often doesn't fit your specific workflows, limited customization, you're locked into someone else's roadmap. Makes sense for generic workflows (email management, basic data entry).
You hire a consultant to assess, plan, build, and integrate a solution, then hand it off to your team. You get expert hands-on work without the long-term cost of in-house staff. Makes sense for most mid-market companies doing AI for the first time.
AI consulting is most valuable when you have real workflow problems, you want a hands-on partner to solve them, and you care about measuring actual results. It's least valuable if you just want someone to tell you AI is good and you should use it.
The best AI consultants are specific, transparent, experienced, and accountable. They show you real examples. They explain ROI clearly. They build solutions, not just strategies. And they hand you something that actually works after they leave.