Outcome pricing for AI support

This pricing model turns customer support from a software seat purchase into a labor replacement budget. Sierra can charge by conversation when the job is simple, like answering order status or password reset questions, and by resolution when the AI actually finishes harder work, like canceling a subscription or processing a refund. That lets pricing map to the value delivered, not to how many human agents log in.1 2 3

• Outcome pricing works because the new generation of AI support agents is resolving roughly 60% to 80% of conversations, at around $0.99 to $1.50 per resolved case versus roughly $10 to $15 for human support. In practice, the buyer is comparing Sierra to an outsourced support bill, not just to Zendesk or Intercom seats.2 3
• The split model also matches workflow reality. Routine contacts are high volume and easy to meter per conversation, while complex cases require integrations into billing, CRM, and order systems, so charging per successful resolution better captures the value of the AI taking action instead of just replying.1 2
• This is a key line between Sierra and legacy help desk software. Intercom still keeps core per seat pricing and layers AI fees on top, while Sierra was built around autonomous resolution first. That helps explain why Sierra behaves more like a productized BPO than a classic SaaS tool.1 3

The market is moving toward support budgets priced like completed work. As AI agents get better at taking actions across chat and voice, more of the contract will shift from usage fees toward pay for resolution, and vendors that can prove containment, CSAT, and real labor savings will pull budget away from both BPOs and seat based help desks.1 2 3