AI support service layer

AI Support Service for AI Products

First-line support contour for ChatGPT-RU and AI-Neirochat: knowledge base–based responses, ticket classification, status tracking, escalations, and quality control.

What did they do?

Described typical inquiries: payment, access, generation, model errors, limits, and refunds.
Compiled a knowledge base and response scenarios, with escalation of complex cases to humans.
Added operational circuit: statuses, logging, notifications, and quality metrics.
Connected support with products, payments, and admin actions.

RAGKnowledge baseTicketsAdminTelegramEmail

Result

Users get faster answers to common questions, and the team sees where the service breaks, which requests repeat, and what needs improvement in the product.