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AI agent vendors use different pricing models, and the right one depends on your volume and use case. Per-seat pricing charges per user or agent; per-resolution charges per successfully handled interaction; usage-based charges per API call or token. Understanding these models helps you avoid overpaying and predict costs as you scale.
You pay a flat monthly fee per agent seat or per human user who accesses the platform. Common in help desk and CRM tools. Predictable costs, but you pay the same whether the agent handles 100 or 10,000 interactions. Best for teams with steady, predictable volume who want budget certainty.
You pay only when the AI agent successfully resolves an interaction without human intervention. If the agent escalates, you don't pay for that interaction. This aligns vendor incentives with outcomes—they only get paid when the AI works. Common in support automation (Intercom, Zendesk). Best for teams that want to pay for value delivered.
You pay per API call, per token, or per minute of processing time. Common in voice agents (per-minute) and custom-built agents (per-token). Costs scale linearly with usage—great for low-volume teams, expensive for high-volume. Best for teams with variable or growing volume who want to start small.
Model your expected monthly volume across all three pricing types. Factor in: resolution rate (what percentage does AI handle without humans?), average interaction complexity (more tokens = higher usage cost), and growth trajectory. Many vendors offer calculators. Ask for volume discounts above 10,000 interactions/month.
It depends on volume. Per-seat is cheapest at high volume with high resolution rates. Per-resolution is cheapest when you're unsure of AI effectiveness (you only pay for successes). Usage-based is cheapest at low volume. Model your specific numbers—the cheapest option at 1,000 interactions may be the most expensive at 50,000.
Start with a pilot. Most support AI tools achieve 20–40% auto-resolution out of the box and improve to 40–60% after tuning. Sales agents book meetings on 5–15% of outbound sequences. Use vendor benchmarks for your industry as a starting point, then measure your actual results.