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Organization Token Usage

The Token Usage page in the Backoffice gives you full visibility into your organization's AI token consumption. Track costs, identify heavy-usage areas, and make informed decisions about AI model configuration.

Overview

Token usage is generated every time a user interacts with the AI assistant. Each interaction produces prompt tokens (input) and completion tokens (output). This page aggregates usage across all users in your organization.

Stats cards

Four cards at the top summarize your organization's token consumption:

StatDescription
Total TokensCombined prompt and completion tokens in the selected period
Prompt TokensTotal input tokens (user questions + page context + retrieved knowledge)
Completion TokensTotal output tokens (AI responses)
Estimated CostApproximate cost based on the configured AI model's pricing

Filters

Date range

Select a time window using presets (Last 7 days, Last 30 days, Last 90 days) or a custom date range. All stats, charts, and tables update accordingly.

Domain

Filter usage to a specific domain to understand which web applications drive the most AI consumption.

Source

Filter by interaction source — Extension, Widget, or API — to see where tokens are being consumed.

Usage by domain breakdown

A chart showing token consumption grouped by domain. This reveals which web applications generate the most AI usage, helping you:

  • Prioritize knowledge base improvements for high-usage domains
  • Identify domains that may need more static content to reduce AI reliance
  • Allocate costs to the appropriate teams or departments

Recent usage table

A detailed table listing individual usage records:

ColumnDescription
DateWhen the tokens were consumed
UserThe user who triggered the interaction
DomainThe website where the interaction occurred
Prompt TokensInput tokens for this interaction
Completion TokensOutput tokens for this interaction
Total TokensSum of prompt and completion
CostEstimated cost for this interaction
note

Cost estimates are based on the AI model configured in your organization's Settings. If you change models, the per-token rate changes accordingly.

Cost management tips

  • Improve your knowledge base — Well-written, specific knowledge articles reduce the need for lengthy AI reasoning, which lowers completion tokens
  • Use RAG files strategically — Upload comprehensive documents so the AI can retrieve precise answers rather than generating long explanations
  • Monitor by domain — Focus optimization efforts on the highest-consumption domains first
  • Review the model — Different AI models have different cost-per-token rates. Discuss with your Appilot contact whether a different model fits your needs
  • Educate users — Encourage clear, specific questions. Vague queries often produce longer (and more expensive) responses
tip

Set a recurring calendar reminder to check token usage weekly. Catching unexpected spikes early prevents budget surprises.

Next steps