Sierra's per-resolution model disrupts help desks

The real threat is economic, not just technical. If support software is priced per seat, the vendor makes money when a company keeps more human agents logged in. If support is priced per resolved issue, the vendor makes money when automation actually removes work. That flips the buyer conversation from buying another inbox for agents to buying fewer tickets, faster launches, and lower labor cost.

• Sierra is closer to an AI BPO than a classic help desk. It sells autonomous chat and voice agents that answer customers, pull context from knowledge bases, and update CRM, billing, or ERP systems. That lets it charge on outcomes, around $1.50 per resolution, instead of on agent seats.
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• Incumbents still carry seat economics even as they add AI. Intercom layers Fin at $0.99 per resolution on top of seat plans, while Zendesk embeds AI agents inside its Resolution Platform. Both can automate work, but their installed base and product packaging were built around the help desk as system of record.
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• Speed matters because these tools win when they go live before a support org starts a long platform migration. AI native vendors have used forward deployed engineers and custom integration work to ship production workflows in 2 to 4 weeks, which is much faster than a typical enterprise support stack overhaul.
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The market is moving toward a split where some vendors own the ticketing layer and bundle AI, while others sell autonomous agents that sit on top or replace pieces of the stack. As resolution based products improve, support budgets will keep shifting away from paying for agent seats and toward paying for measurable deflection and completed work.