What does AI cost
per support ticket?
Start with the ticket volume you know. Estimate your current model spend, then explore the savings from a model trained for your support task.
Your tickets.
Your potential savings.
Your trained model delivers the same task quality at 1/10th of the inference cost of a frontier model. For every $10 spent on the frontier model, spend $1 on yours—and keep $9.
Adjust usage assumptions
Illustrative defaults: routing uses 1,000 input + 50 output tokens; replies use 3,000 input + 500 output tokens, with one call per ticket. Adjust these to match your workflow.
Model inference only, not helpdesk fees, tools, retrieval, or full cost per resolution. Standard uncached API rates, checked October 24, 2026: both models $2 / million input tokens and $10 / million output tokens. Cache, batch, reasoning, retries and negotiated rates can change your bill. Sources: OpenAI · Anthropic.
Same quality bar.
Illustrative inference-cost comparison between a frontier model and your trained model, not a quote or measured benchmark. Our guarantee: your trained model meets the frontier-model quality bar on your specific task at 1/10th of that model’s inference cost. The task, baseline, evaluation criteria, and cost scope are defined for your engagement.
Validate the savings
on your own tickets.
Agree on a quality bar, compare against your current model, and get a scoped cost estimate.