Customer Support Chatbot Cost: Monthly LLM Budgeting

Support bots fail budgeting when teams ignore volume variability. You need base, peak, and deflection-adjusted scenarios.

Estimate chatbot cost scenarios

Typical inputs

  • DAU (active customers engaging with support)
  • Requests per user (tickets/questions)
  • Response length (short answers vs guided troubleshooting)

Example scenario

Base: 15k DAU, 0.4 requests/day, medium responses Peak: 15k DAU, 1.0 requests/day, long responses (guided steps)

Frequently Asked Questions

How do I model peak support events?
Increase the requests per user significantly for the peak scenario cost.
What response length is typical for support bots?
It depends, but often Medium to Long if the bot is solving problems, not just routing.
How do I include escalation to human agents in the business case?
Calculate the LLM cost for the resolved % and compare it to the saved agent hours.

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