AI keeps getting cheaper, at least on paper. Model prices fall every quarter, and vendors keep announcing lower per-minute and per-token rates. But contact center leaders putting voice AI into production keep running into the same problem: the invoice doesn’t match the pitch.

The reason is that a voice AI conversation isn’t a single model call. One call can involve speech recognition, several models, retrieval, API calls to back-end systems, orchestration logic, retries, and sometimes a handoff to a human agent. Two calls that sound the same to a customer can cost very different amounts to deliver. Comparing price per token says almost nothing about what you’ll actually spend.

Join Opus Research and USAN (Thursday, Nov 5th, 1pm ET) for live, interaction discussion. Instead of asking “what does the model cost?”, ask “what does it cost to successfully resolve this interaction, and can we predict that cost across millions of conversations?”

We’ll break down the full cost stack of an agentic voice conversation, show where costs hide and where they grow, and lay out a practical way to measure AI economics by cost per resolution.

Topics include:

• How AI is priced today, and where pricing models are heading
• The full cost stack of an AI-powered customer conversation
• Rethinking AI-vs-human comparisons beyond traditional labor models
• Forecasting and managing costs from pilot to millions of conversations

Register for this free webinar below or directly at BrightTalk

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