Phlow AI

Intelligent Ticket Router

AI-powered customer service automation delivering 60% faster response times

LiveTimeline: Q4 2024|Industry: SaaS / Customer Service
Intelligent Ticket Router

The Challenge

Customer service teams were spending 40% of their time manually categorizing and routing support tickets. This created bottlenecks, inconsistent response times, and frustrated both customers and support staff.

As ticket volume grew, the manual process became unsustainable. Support agents were burning out on repetitive triage work instead of solving actual customer problems.

The existing rule-based system couldn't handle the nuance of customer language, leading to frequent misrouting and escalations.

We were drowning in tickets, and our best people were stuck playing traffic cop instead of helping customers.

40%
Time wasted on triage
25%
Misroute rate

Our Solution

We developed an LLM-powered classification system that automatically categorizes incoming tickets, assigns priority levels, and routes to the appropriate team in real-time.

The system uses Claude API with custom prompts fine-tuned on historical ticket data, understanding context and intent rather than just keyword matching.

Integration with existing helpdesk software meant zero workflow disruption for agents.

  • Real-time ticket classification with 95% accuracy
  • Intelligent priority assignment based on urgency signals
  • Automatic routing to specialized teams
  • Continuous learning from agent corrections
  • Seamless integration with existing helpdesk tools

Implementation

Technical Approach

  • Claude API integration with custom classification prompts
  • Real-time processing pipeline handling 1000+ tickets/hour
  • PostgreSQL database for ticket history and model feedback
  • Docker containerization for scalable deployment
  • REST API for helpdesk integration

Change Management

  • Phased rollout starting with low-risk ticket categories
  • Agent training on reviewing and correcting AI decisions
  • Feedback loop implementation for continuous improvement
  • Weekly review sessions to tune classification accuracy

Results & Impact

60%
Faster Response
95%
Classification Accuracy
24/7
Automated Routing
10x
Scalability
  • Support agents now spend time solving problems, not sorting tickets
  • Customer satisfaction scores improved by 15%
  • System handles 10x ticket volume with no additional headcount
  • Misrouting reduced from 25% to under 5%

Technology Stack

Claude APIPythonStreamlitPostgreSQLDocker