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AI Customer Support Hub

The work is not a chatbot demo. It is a support control layer for channels, citations, risk boundaries, and human handoff.

AI Customer Support Hub

Multi-channel intake with controlled knowledge boundaries

Scenario Case

The work is not a chatbot demo. It is a support control layer for channels, citations, risk boundaries, and human handoff.

Component Selection

OpenClawMulti-channel AI gateway
RAGFlowSupport knowledge retrieval and citations
LangfuseConversation QA and failure samples
n8nTickets, notifications, and handoff automation

Decision Boundaries

  • Define answerable scope, forbidden answers, pricing boundaries, and escalation rules.
  • Start single-channel for low volume.
  • Continuously feed real conversations back into the knowledge base.
01

Channel intake

Unify website, WhatsApp, Telegram, and enterprise messaging.

02

Knowledge loading

Load FAQs, pricing rules, policies, and after-sales playbooks.

03

Boundary control

Encode escalation and sensitive-case rules into the workflow.

04

Optimization

Track hit rate, handoff rate, satisfaction, and failed cases.

Fewer missed and repeated replies.
More stable policy and pricing language.
Real conversations improve the system.