Customer Support

Intelligent Support Ticket Triage & Routing

Automatically classify, prioritize, and route customer inquiries to the right team with AI that understands context and urgency

Customer support teams are overwhelmed by high ticket volumes, with agents spending valuable time manually categorizing tickets, assigning priorities, and determining the appropriate department or specialist. Misrouted tickets lead to extended resolution times, frustrated customers, and inefficient resource allocation across support tiers.

The Problem

Support teams waste 35-40% of their time on ticket triage and routing instead of solving customer problems. Manual classification is inconsistent, priority assignments are subjective, and routing errors create handoff delays that frustrate both customers and agents.

Manual Triage Bottleneck

Agents spend hours each day reading tickets, determining categories, assigning priorities, and routing to appropriate queues, delaying first response times.

Inconsistent Classification

Different agents categorize similar issues differently, creating reporting inaccuracies and making it difficult to identify recurring problems or knowledge gaps.

Routing Errors & Handoffs

Tickets routed to the wrong team or tier require reassignment, creating multiple touchpoints and extending resolution time while reducing customer satisfaction.

How OpenClaw Solves This

OpenClaw's AI triage system analyzes every incoming ticket to extract intent, sentiment, technical complexity, and urgency signals. It automatically classifies tickets into your taxonomy, assigns data-driven priority levels, and routes to the optimal team or agent based on expertise, availability, and workload—all in seconds.

Multi-Signal Intent Classification

Analyzes ticket content, customer history, product context, and metadata to accurately categorize issues into your support taxonomy with high accuracy.

Dynamic Priority Scoring

Evaluates urgency indicators including sentiment, business impact, SLA risk, customer tier, and issue severity to assign objective priority scores.

Intelligent Agent Matching

Routes tickets to the best-fit agent or team based on expertise areas, language skills, current workload, availability, and historical resolution success rates.

Escalation Detection

Identifies tickets requiring immediate escalation based on customer sentiment, account value, contract terms, or technical complexity indicators.

How AI Triage Works

1

Ticket Ingestion & Analysis

AI extracts key information from ticket content, subject line, attachments, and customer metadata, analyzing intent and urgency signals.

2

Classification & Priority Assignment

System categorizes the ticket into your taxonomy, assigns priority score based on multiple factors, and flags escalation requirements.

3

Optimal Routing Decision

Matching engine identifies the best team and agent based on expertise, workload, availability, and historical performance with similar issues.

4

Assignment & Context Delivery

Ticket is routed to the selected agent with AI-generated context summary, suggested articles, and recommended next actions to accelerate resolution.

Measurable Results

Significantly

Faster First Response

Eliminate manual triage delays and get tickets to the right agent immediately for faster customer engagement.

Substantially

Fewer Misroutes

Accurate intent detection and expertise matching minimize reassignments and multi-touchpoint handoffs.

More

Agent Time Saved

Free agents from administrative triage work to focus on customer problem-solving and complex issue resolution.

Frequently Asked Questions

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