TL;DR
There are roughly four kinds of AI consulting providers, and most businesses pick the wrong kind because they don't realize the others exist. Here's a buyer's guide that matches the provider type to your business size, budget, and actual problem.
Examples: Deloitte, Accenture, McKinsey, BCG, EY, KPMG, PwC.
Engagement size: $250K–$5M+. Timeline: 3–18 months. Team: 3–15 consultants.
What you get: A polished deck, a methodology, a roadmap, and (usually) a recommendation to hire them for the implementation phase too.
Right fit when: You're a Fortune 1000 company, you need board-level cover for a major decision, or you have a $1M+ AI budget and a procurement team that requires brand-name vendors.
Wrong fit when: You have fewer than 500 employees. The economics don't work — you'll pay enterprise rates for a junior team and a templated deliverable.
Examples: Specialty firms like Slalom, Credera, regional AI shops.
Engagement size: $50K–$250K. Timeline: 2–6 months. Team: 2–6 consultants.
What you get: Deeper AI expertise than the Big Four, more flexibility, and a real implementation team (not just strategists).
Right fit when: You're a mid-market company (200–2000 employees), you have an in-house IT team to partner with, and you need custom integrations with enterprise systems (Salesforce, SAP, Workday).
Wrong fit when: You're a small business — minimum engagements start above your total annual software budget.
Examples: Specialists found on LinkedIn, Toptal, Upwork, or via referral. Often ex-FAANG or ex-consulting.
Engagement size: $5K–$50K. Timeline: 2–12 weeks. Team: 1 person (sometimes with a subcontractor).
What you get: A specialist who'll do the work themselves. High expertise per dollar.
Right fit when: You have a specific, well-scoped problem ('build me a custom GPT for our knowledge base'), you can articulate it clearly, and you're comfortable managing a contractor.
Wrong fit when: You need someone to help you figure out what to do, you need on-site presence, or you need someone who'll still be around in six months.
Examples: Montana AI Consulting and a handful of regional peers across the US.
Engagement size: $1,500–$25,000 flat fee. Timeline: 2–8 weeks. Team: 1–2 people.
What you get: On-site help anywhere in the state, plain-English explanations, training for your team, and a phone number you can actually call.
Right fit when: You're a Montana small or mid-sized business (5–200 employees), you want it done in weeks not quarters, and you value local presence and accountability over brand-name credentials.
Wrong fit when: You need 24/7 enterprise SLA support or you're rolling out AI across 50+ international offices.
Pick the smallest tier that can solve your problem. The #1 mistake businesses make is hiring up two tiers — a 30-person company hiring a Big Four firm — and getting a $400K invoice for what a local operator would have shipped for $8K.
If you're unsure, start with a free conversation with a Tier 3 or Tier 4 provider. They'll tell you honestly if you actually need to size up.
Headcount and budget are the simplest filters. Under 200 employees and under $50K AI budget — Tier 3 or Tier 4. 200–2000 employees with a real IT department — Tier 2. Fortune 1000 with board-level scrutiny — Tier 1. The lines blur but this gets it right 80% of the time.
Referrals are good, but check the tier first. A friend at a 5,000-person company referring you to their Tier 2 firm will leave you broke if you're a 20-person business. The right provider for them is the wrong provider for you.
For Montana small business problems, often better. A local consultant knows your industry context (ranching, healthcare, oil & gas, hospitality), can show up in person, and has the time to do the work themselves rather than handing it to a junior. For cutting-edge research AI or building proprietary foundation models, hire from a tech hub. For practical, deployed AI in a real Montana business, hire local.
Last updated March 15, 2026 · Written by Aaron Whitfield, Montana AI Consulting.
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