Ending AI Call Minutes at Human Transfer — Workforce Wave

AI billing should stop the moment a human picks up. Here's how to draw the line.

This technical white paper addresses the billing and recording boundary at AI-to-human transfer. It covers why AI call minutes should stop at the transfer point, how to implement recording and transcript cutoff, and how to cleanly attribute usage between the AI leg and the human leg of a call.

What’s Inside

• Billing boundary definition: How to define the exact moment AI billing stops — transfer initiation vs transfer connect — and why the distinction matters for per-minute pricing models.
• Recording and transcript cutoff: Why recording and transcription must end at the transfer point, and how to implement the cutoff cleanly without losing the AI leg's conversation data.
• Usage attribution: How to split a single call into AI-handled minutes and human-handled minutes for billing, reporting, and reconciliation.
• Reconciliation impact: How transfer-aware billing affects monthly reconciliation, prepaid minute pools, and the gap between activity minutes and billed minutes.

Who This Is For

• →Billing and operations teams who need clean attribution between AI and human call legs
• →Developers implementing transfer detection and call duration tracking in the call pipeline
• →Business owners who want to understand why AI minutes should stop at transfer — and how to verify their vendor does it
• →Finance teams reconciling AI agent usage against per-minute billing