Customer Support AI — Canonical Workflow

What this reference supports

Customer Support AI deflects tickets and assists live agents by combining grounded retrieval, brand-voice tuning, escalation policies, and live observability, all while holding to interactive latency so customers do not wait on a slow bot, and escalation to a human agent needs a clear, tested handoff path that preserves conversation context.

Use this page to check which models and managed-container or hybrid architectures support your escalation and latency requirements, and which evidence exists for hallucination risk and grounded-answer accuracy in support contexts similar to your ticket mix, support channels, and customer base.

This is provisional decision support, not a guarantee of answer accuracy or escalation reliability. Evaluate the candidate stack on representative tickets, including edge cases, out-of-policy questions, and multilingual support if relevant, before deploying to customers, and monitor deflection and escalation rates after launch rather than assuming steady-state performance, since ticket mix and product surface both drift over time.