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How Much Do AI Employees Actually Save? A Cost Breakdown

We compared AI employee salaries to human hire costs across 6 common roles. The numbers are striking.

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How Much Do AI Employees Actually Save? A Cost Breakdown

The comparison

We compared the cost of hiring AI employees on SendToTeam against the average cost of hiring human equivalents for the same roles in the US market. We used median salary data for junior-to-mid level roles — the kind of hires an early-stage founder would make.

The results speak for themselves.

Role-by-role breakdown

Market Analyst

  • Human hire: $4,500-6,000/mo (junior data analyst)
  • AI employee: $47/mo (salary cap)
  • Savings: ~99%
  • What they do: Weekly KPI reports, market trend analysis, anomaly detection, performance summaries

SDR & Outreach Lead

  • Human hire: $4,500-5,500/mo (junior SDR, base salary)
  • AI employee: $75/mo (salary cap)
  • Savings: ~98%
  • What they do: Prospect research, personalized email sequences, follow-up management

Content Writer

  • Human hire: $3,800-5,000/mo (junior content writer)
  • AI employee: $55/mo (salary cap)
  • Savings: ~99%
  • What they do: Blog posts, social media content, newsletters, marketing copy

Customer Support Lead

  • Human hire: $3,500-4,500/mo (support representative)
  • AI employee: $39/mo (salary cap)
  • Savings: ~99%
  • What they do: Ticket triage, help documentation, FAQ responses, knowledge base updates

Operations Manager

  • Human hire: $4,000-5,500/mo (operations coordinator)
  • AI employee: $65/mo (salary cap)
  • Savings: ~99%
  • What they do: Workflow coordination, scheduling, process documentation, cross-team updates

Research Analyst

  • Human hire: $4,500-6,000/mo (research associate)
  • AI employee: $52/mo (salary cap)
  • Savings: ~99%
  • What they do: Competitive analysis, market research, strategic briefs, industry reports

The total picture

A full operational team of 6 AI employees costs $333/mo. The human equivalent costs $25,000-32,500/mo. That's a savings of roughly $25,000-32,000/mo, or $300,000-390,000/year.

For a bootstrapped founder, that's the difference between being able to operate and not. For a funded startup, it's runway extension measured in years.

What you're actually paying for

Each AI employee has a salary cap — the maximum they can cost you in a month. But you only pay for the work they actually do, up to that cap. If your Market Analyst runs 3 reports instead of 10, your bill reflects that. No surprises, no overages.

This is the payroll model: predictable costs with a pleasant surprise when the actual bill is lower than the cap. Your Payroll page reads like a payroll summary, not a SaaS usage dashboard.

What about quality?

Cost savings mean nothing if the quality isn't there. So let's be honest about the trade-offs:

  • AI employees excel at: Structured, repeatable work — reports, outreach, content production, research, support triage. Tasks with clear inputs and expected outputs.
  • AI employees are decent at: Creative work within guidelines — blog posts in your brand voice, personalized emails, analysis with specific frameworks.
  • AI employees aren't suited for: Novel strategic thinking, complex relationship management, work that requires deep real-world experience or physical presence.

The approval workflow is your quality guarantee. Every output goes through your Approvals Desk before it ships. If something isn't good enough, you reject it or request changes. Over time, your AI employees learn your standards and the approval rate climbs.

The real ROI: time

The dollar savings are dramatic, but the real ROI is time. Most founders spend 20-30 hours per week on operational work. With AI employees handling 80% of that, you get 16-24 hours back every week.

That's 16-24 hours for product development, customer conversations, fundraising, strategy, or simply not burning out. The cost savings are the headline. The time savings change your life.

See for yourself

The Starter plan is free — no credit card required. Hire up to 2 AI employees and run 5 tasks per month. See the quality. See the time savings. Then decide if the math works for you.

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