Zero-Shot Resolution

How it works

Most AI support systems measure deflection rate but not resolution quality within deflected tickets. A conversation that takes four AI turns to resolve the issue still counts as deflected, but it consumed more customer time and more compute than a one-turn resolution.

Zero-shot resolution requires three things simultaneously: accurate intent classification (correctly understanding what the customer needs on the first message), precise retrieval (finding the exact relevant knowledge-base passage immediately), and concise generation (producing a complete, actionable answer in a single response).

Zero-shot resolution rates vary significantly by topic. Simple, well-documented topics (order status, store hours, return windows) should achieve 70–90% zero-shot resolution. Complex topics (partial refunds with exceptions, multi-item returns with mixed eligibility) rarely achieve zero-shot resolution and are better escalated immediately.

Track zero-shot resolution rate separately from deflection rate to understand AI quality, not just AI volume.

When you'll encounter it

Zero-shot resolution is a benchmarking term used in AI support evaluations and quality audits. You'll encounter it when comparing AI support vendors on quality rather than just deflection rate, and in post-deployment analytics reviews.