Agents that close the loop: lessons from 60% auto-resolution
What it took to move an AI support suite from demo to resolving the majority of tickets on its own.
Read articleCaching, routing and smaller models — practical ways to make AI features affordable at scale.
We log tokens and cost per feature. Usually a few flows account for most of the bill.
Simple requests go to small, fast models; only hard ones reach the largest. Quality stays, cost drops.
Repeated context — system prompts, shared documents — is cached so you pay for it once, not every call.
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What it took to move an AI support suite from demo to resolving the majority of tickets on its own.
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