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Use Cases

Autonomous Customer Support Agents

Agents that triage, route, research, and resolve — escalating only when they need a human. A Singapore-based fintech team cut first-response time by 60% using Diaflow support agents.

Live trace
Ticket TKT-2091 received
KB search: 3 matches found
LLM: drafting response
Resolved 340ms

How it works

The Diaflow support agent handles the full ticket lifecycle without human involvement until escalation is genuinely needed.

Flow diagram showing a customer support agent workflow: ticket intake, classification, knowledge base lookup, response generation, and escalation decision

Customer story

A Singapore-based fintech payments platform was spending 3-4 engineer-hours per week manually triaging and responding to developer support tickets. They deployed a Diaflow support agent integrated with their knowledge base, ticket system, and API documentation.

Within two weeks of deployment, first-response time dropped from an average of 4.2 hours to under 20 minutes. The agent resolves 73% of tickets without human involvement, escalating only when a ticket requires code changes or account-level access.

"The accuracy surprised us. The agent doesn't just keyword-match — it actually reads the question and finds the right KB article. We've had zero complaints about bad auto-responses."

Lead Support Engineer, fintech payments platform, Singapore

Key features used

Ticket classification
Auto-classify by type, severity, and routing tag using LLM reasoning.
Parallel KB + CRM search
Diaflow orchestrates parallel tool calls to search multiple sources simultaneously.
Smart escalation
Escalates with full conversation context when confidence is below threshold.

Build your support agent today

Free tier includes 1,000 agent runs per month.