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Structured methodology As of 2026-05-08

How AI vs Human Support Cost works

What the tool assumes, what data it pulls from, and what it cannot tell you.

Education · General business information, not legal, tax, or financial advice. Editorial standards Sponsor disclosure Corrections

1. Scope

Compares monthly support cost between human-only and AI-first (with human escalation) models. Includes token spend per AI ticket and escalation overhead.

2. Inputs and outputs

Inputs

  • ticketsPerMonth number
  • avgHumanMinutesPerTicket number
  • humanHourlyCost number ($)

    Loaded rate (wage + benefits + tools + QA).

  • aiResolutionRate number (0–1)
  • tokensPerAiResolved number
  • aiInputPricePerMtok number ($)
  • aiOutputPricePerMtok number ($)
  • escalationOverheadMinutes number

Outputs

  • monthlySavings

    Human-only minus AI-first.

  • costPerAiTicket

    AI-first total / tickets.

  • savingsPercent

    Savings / human-only baseline.

Engine source: src/lib/ai-vs-human-support-cost/engine.ts

3. Formula / scoring logic

human_only = N × (handle / 60) × hourly
ai_token_$ = tokens × ((in + out) / 2) / 1_000_000
ai_first = N × ai_token_$ + N × (1 − rate) × ((handle + escalation) / 60 × hourly)

4. Assumptions

  • 50/50 input/output token split.
  • Escalated tickets pay full human handle time plus escalation overhead.
  • Loaded human cost is 1.4–1.8× wage; user enters loaded rate directly.

5. Data sources

6. Known limitations

  • Doesn't include QA cost on AI responses, tooling fees (Zendesk / Intercom), or training time.
  • Token figures ignore retries, tool calls, and chained agent runs that can 2–10× real spend.

7. Reproducibility

Input
4000 tix, 12 min, $35/hr, 65% rate, 4000 tok, $0.50/$1.50, 3 min escalation.

Expected output
humanOnly $28k, savings >$15k.

8. Change log

  • 2026-05-08 methodology first published.

Worked example

Run live against the same engine this site ships (/engines/ai-vs-human-support-cost.js). The inputs and outputs below are recomputed on every build and independently re-verified in CI — they are never hand-authored.

Input

tool
ai_vs_human_support_cost
tickets_per_month
4000
avg_human_minutes_per_ticket
12
human_hourly_cost
35
ai_resolution_rate
65
tokens_per_ai_resolved
4000
ai_input_price_per_mtok
0.5
ai_output_price_per_mtok
1.5
escalation_overhead_minutes
3

Output

humanOnlyMonthlyCost
28000
costPerHumanTicket
7
aiFirstMonthlyCost
12266
costPerAiTicket
3.07
monthlySavings
15734
savingsPercent
56.19
breakEvenTickets
1
aiResolvedCount
2600
escalatedCount
1400

Frequently asked questions

What does the AI vs Human Support Cost calculate?
Compares monthly support cost between human-only and AI-first (with human escalation) models. Includes token spend per AI ticket and escalation overhead.
What inputs does the AI vs Human Support Cost need?
It takes 8 inputs: ticketsPerMonth, avgHumanMinutesPerTicket, humanHourlyCost, aiResolutionRate, tokensPerAiResolved, aiInputPricePerMtok, aiOutputPricePerMtok, escalationOverheadMinutes. Outputs returned: monthlySavings, costPerAiTicket, savingsPercent.
What formula does the AI vs Human Support Cost use?
The exact computation is: human_only = N × (handle / 60) × hourly; ai_token_$ = tokens × ((in + out) / 2) / 1_000_000; ai_first = N × ai_token_$ + N × (1 − rate) × ((handle + escalation) / 60 × hourly)
Can I verify the AI vs Human Support Cost with a worked example?
Yes. With 4000 tix, 12 min, $35/hr, 65% rate, 4000 tok, $0.50/$1.50, 3 min escalation. the tool returns humanOnly $28k, savings >$15k.
Where does the AI vs Human Support Cost get its benchmark data?
Reference data is sourced from: BLS — customer service representatives wages (as of 2024-05); Zendesk CX Trends Report (as of 2024).
What can the AI vs Human Support Cost not tell me?
Known limitations: Doesn't include QA cost on AI responses, tooling fees (Zendesk / Intercom), or training time. Token figures ignore retries, tool calls, and chained agent runs that can 2–10× real spend.
Business planning estimates — not legal, tax, or accounting advice.