Customer Support Agent Architecture
Design customer-facing support agents with retrieval, escalation, fallback, and audit.
Key takeaways
- Customer support agents need fast answers with strict boundaries, knowing when to answer, when to cite sources, and when to escalate to a human.
- The architecture layers UI, retrieval over approved docs, AI Gateway routing, a read-only or ticket tool layer, escalation workflow, and observability.
- Never expose data from other accounts, and cite source material for factual answers.
- Escalate billing, legal, security, or angry-customer cases, and log low-confidence answers for review.
- Keep human support able to inspect the full conversation and its sources.
Support agents need fast answers and strict boundaries. The system must know when to answer, when to cite sources, and when to escalate to a human.
Architecture
| Layer | Role |
|---|---|
| UI | Collect question, account context, feedback |
| Retrieval | Search approved docs, tickets, and knowledge base |
| AI Gateway | Route by latency, cost, and quality |
| Tool layer | Read-only account lookup or ticket creation |
| Workflow | Escalation, follow-up, and long cases |
| Observability | Track resolution, hallucination, and escalation |
Guardrails
- Do not expose data from other accounts.
- Cite source material for factual answers.
- Escalate billing, legal, security, or angry customer cases.
- Log low-confidence answers for review.
- Keep human support able to inspect the conversation and sources.