Hiring a full-time AI person sounds like the most controlled option — someone on your payroll, in your office, fully dedicated to your business. Here's the reality: that $150K hire still has to figure out data governance, tool selection, vendor evaluation, and compliance on your dime. They have to learn your trade from scratch. They'll spend their first 6 months building what Ironback deploys in 6 weeks. And if they leave, everything they built is undocumented and walks out the door with them.
Trade businesses that need AI operations capability now, can't afford a 6-month ramp period, want data governance handled from day one, and don't want to bet $200K+ on a single hire who may leave in 18 months.
Companies with $20M+ revenue that can absorb the cost and risk of a dedicated AI hire, have enough internal AI work to fill 40 hours/week permanently, and have existing leadership capable of managing and retaining a technical specialist long-term.
Real Cost Comparison
Year-one total cost of ownership — including setup, ongoing fees, and hidden management costs.
Flat $8,000/month retainer ($96K/year), 3-month minimum, month-to-month after. Specialist arrives pre-trained with playbooks, data governance frameworks, and trade-specific workflows.
In-house AI hire: $120,000–$160,000 salary + $25,000–$40,000 benefits + $10,000–$20,000 AI tool subscriptions and training budget = $155,000–$220,000/year fully loaded. Plus 3–6 months of ramp time before productive output. Plus the risk they leave in 18 months (average tech tenure).
In-house hire: $155,000–$220,000 in compensation + $15,000–$30,000 in recruiting costs + $30,000–$50,000 in unproductive ramp time (3–6 months at partial output) + $10,000–$25,000 if they leave and you re-recruit. Year-one true cost: $210,000–$325,000 with no guarantee. Ironback: $49,500–$85,500/year with a 3-month minimum, then month-to-month and productive output starting in weeks.
Common Questions
After 12–18 months, yes — if they stay. Average tenure for AI/tech roles is 18–24 months. When they leave, they take everything they've learned and built. Ironback's model is designed for continuity: playbooks are documented, systems are standardized, and if your partner changes, the transition is seamless because the knowledge lives in the methodology, not one person's head.
Ask what 'full-time' actually means for an AI operations role at a 30-person trade company. You need 15–25 hours/week of active AI operations work. The other 15–25 hours, your $150K hire is attending meetings, answering Slack messages, and finding things to do. Ironback gives you the productive AI operations hours without paying for the organizational filler.
An in-house person keeps data internal only if they set up proper data governance — which most don't. They'll sign up for AI tools using their personal email, store API keys in plaintext, and process customer data through tools with no data processing agreements. Ironback partners deploy with a pre-built data governance framework: approved tool lists, data classification protocols, access controls, and audit trails. 'In-house' doesn't automatically mean 'secure.' Process means secure.
Industries Where This Decision Matters Most
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 quantifies waste across 7 categories in under 5 minutes.
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