ComponentWhy it is unattributedcalls$ / run
Model · 38%Summarization and action extraction (Claude Haiku 4)Each meeting transcript is sent to Haiku 4 to produce a structured summary, decisions list, and typed action items with owners.tokens in: 18,000 · tokens out: 1,100Visible on the invoice.2$0.024
Prompt · 13%Summary template and action-item schemaA 4,000-token prefix defining the summary sections, action-item schema, and Slack/Salesforce routing rules is resent on every call with no caching.tokens in: 8,000 · tokens out: 0Visible on the invoice.2$0.008
Orchestration · 14%Transcript fetch, cleanup, and Slack/Salesforce routingA connector agent pulls the transcript from Zoom/Meet/Teams and cleans speaker labels; a routing agent posts the summary to Slack and creates follow-up tasks on the linked Salesforce record. Each is a billed call.tokens in: 5,000 · tokens out: 800Transcript-fetch and routing hops are billed to the 'integrations' cost center alongside the Zoom and Slack API usage, never to the meeting-assistant budget.3$0.009
Retrieval · 13%Prior-meeting and Salesforce context lookupFor recurring or account-linked calls, the agent retrieves prior meeting notes and the related Salesforce opportunity context to keep summaries consistent.tokens in: 4,000 · tokens out: 0Context lookups run against a separate vector store; their cost sits on the vector-DB invoice and is never joined to the per-summary spend.2$0.008
History · 22%Recurring-meeting continuity contextFor standing meetings, the last 2-3 summaries are prepended so the model can track open items across sessions, multiplying input tokens on the highest-value recurring calls.tokens in: 14,000 · tokens out: 0Continuity context is injected by the meeting app as a 'thread memory' feature; the extra prompt length shows up in the model bill but is never attributed to this workflow.1$0.014
Meeting summaries look free at ~$0.06 each - until 90 people generate them 6x a day and half the ~$8.4k/yr bill is Zoom/Slack routing hops and recurring-meeting context that scales with headcount, not value.