PythonNLPLLMSupport AI

Ticket Router

Paste a customer support message and get it routed: urgency level (critical/high/normal/low), department (billing/technical/shipping/general), and a suggested first response. Combines keyword rules, sentiment analysis, and an LLM for response generation.

Routing

Urgency + department

Accuracy

89%

PII handling

Redacted before LLM

Escalation

Human-in-the-loop

How it works

1Customer Message
2Sanitise & PII Redact
3Parallel Analysis
4Route Decision
5LLM Response
6Output

System Architecture

Runs three parallel analyses: keyword-based department detection, sentiment-based urgency scoring, and entity extraction for order numbers and account IDs. Results are combined into a routing decision with a confidence score. Low-confidence results (<0.70) are flagged for human review.

Response Generation

Optional LLM suggestion wrapped in department-specific template with required elements: greeting, acknowledgement, next steps, sign-off. Guardrails prevent off-brand responses — no timeline promises, no unsanctioned discounts, no legal advice.

Security

  • PII detected and redacted before LLM calls (emails, phones, card numbers)
  • Prompt injection defence via XML delimiters
  • API key rate limiting: 60 requests/min
  • Audit trail logged (input hash, not content)
  • Human-in-the-loop for confidence < 0.70

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