Accenture, Deloitte, McKinsey, and BCG all have AI practices now. They're brilliant at advising Fortune 500 companies on enterprise AI transformation. They're also spectacularly wrong for a 35-person fire sprinkler company. Their minimum engagements start at $250K–$500K, take 6–12 months, and produce strategy decks your team can't implement. Ironback provides the same outcome — AI-powered operational improvement — at a price and pace built for $1M–$20M trade businesses.
Trade businesses doing $1M–$20M that need AI-powered operational improvement now, can't wait 6–12 months for a strategy phase, and would rather invest $85K in working systems than $500K in a slide deck they need to implement themselves.
Companies with $50M+ revenue, PE backing requiring brand-name consultants, multi-location enterprises needing organizational transformation beyond operations, or businesses where the consulting engagement is as much about investor optics as operational improvement.
Third-party figures are planning estimates based on public pricing and market benchmarks, not vendor quotes. Verify current pricing and scope before making a purchasing decision.
Flat $8,000/month retainer ($96K/year), 3-month minimum, month-to-month after. Trade-focused, implementation included, ongoing management.
Big Four AI engagement: $250,000–$750,000 for a 6–12 month strategy and implementation project. Junior consultants billed at $300–$500/hour. Senior partners at $600–$1,200/hour. Change orders and scope expansion are standard. Post-engagement support: separate SOW.
Large-consultancy costs vary with team, scope, implementation, change management, and client support requirements. Ironback is $96,000 for twelve months at the current flat retainer. Compare current proposals and explicitly separate advisory work from implementation and ongoing operations.
If the PE firm specifically requires Big Four brand credibility for due diligence or board reporting, Ironback won't satisfy that checkbox — hire McKinsey or Deloitte for the strategy deck. But if they want actual AI-driven operational improvement with measurable ROI, Ironback delivers results faster and cheaper than any Big Four engagement. Some clients use both: Big Four for the investor-facing strategy, Ironback for the actual implementation.
Big Four AI teams are built for enterprise transformation — migrating data lakes, deploying custom ML models, redesigning org structures. That's overkill for a 35-person trade company that needs calls answered, estimates sent faster, and follow-ups automated. Ironback's expertise is narrow and deep: AI operations for specialty trade businesses. We don't compete with Accenture on enterprise AI. We compete on who delivers more operational value to a $5M fire sprinkler company — and that's not close.
If you're building custom machine learning models, redesigning enterprise data architecture, or integrating AI across 500+ employees and multiple business units — you may genuinely need enterprise consulting. But most trade businesses asking this question don't need any of that. They need their phones answered at night, estimates out in hours instead of days, and follow-ups that don't depend on someone remembering. That's Ironback. Save the Big Four budget for when you're actually big enough to need it.
These specialty trades see the biggest impact from choosing the right AI operations approach.
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Ironback is a dedicated AI operations partner for service businesses doing $1M–$20M. Flat $8,000/month, 3-month minimum. We find where AI unlocks value, build it, and run it. Start with the free Operations Scorecard. It recommends the first workflow to investigate in about a minute.
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