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AI-Powered Incident Triage

Automated Incident Triage & Categorization

Intelligent AI-powered system that automatically routes incidents to the right specialized teams (Network, Database, Security, Application) with 98.3% accuracy - eliminating ticket ping-pong, reducing manual workload, and accelerating resolution times by up to 75%.

⚡ Configuration Intelligence 🤖 NLP Classification 🚀 Skills-Based Routing 📧 Smart Team Assignment

The Triage Challenge Revolution

Legacy Triage Problems

  • Manual ticket routing takes 20-45 minutes per incident
  • 30% of tickets assigned to wrong teams initially
  • Ticket "ping-pong" between teams delays resolution
  • Inconsistent categorization across departments
  • No consideration of team workload or expertise

AI-Powered Solution

  • Instant intelligent routing in under 5 seconds
  • 98.3% first-time correct team assignment
  • Eliminates inter-team ticket bouncing
  • Standardized categorization with business context
  • Smart load balancing and skills matching

AI-Powered Triage System Workflow

1

NLP Analysis

Advanced natural language processing analyzes incident descriptions, error messages, system logs, and user impact to understand the technical domain and urgency.

AI Models: BERT-based NLP, Domain Classification

2

Configuration Intelligence

AI correlates incident details with service topology and infrastructure intelligence to identify affected systems, services, and dependencies for precise team routing.

Integration: Service Discovery, Topology Mapping

3

Smart Team Assignment

AI considers team expertise, current workload, availability, and escalation rules to assign incidents to the optimal team member for fastest resolution.

Factors: Skills Matrix, Workload, SLA Requirements

AI-Powered Team Categorization

🌐

Network Team

AI Triggers:

  • Network connectivity issues
  • Router/switch failures
  • VPN problems
  • Bandwidth issues
  • DNS resolution errors

Keywords: ping, traceroute, OSPF, BGP, firewall, subnet

🗄️

Database Team

AI Triggers:

  • SQL query failures
  • Connection pool exhaustion
  • Performance degradation
  • Backup/restore issues
  • Deadlock detection

Keywords: SQL, Oracle, MySQL, PostgreSQL, index, query

🔒

Security Team

AI Triggers:

  • Security breaches
  • Authentication failures
  • Malware detection
  • Access violations
  • Certificate issues

Keywords: login, authentication, malware, SSL, certificate

⚙️

Application Team

AI Triggers:

  • Application errors (500/400)
  • Performance issues
  • Feature malfunctions
  • UI/UX problems
  • API failures

Keywords: HTTP, API, React, Java, error, exception

Triage Operations Center

Real-time AI routing interface deployed at client sites

Incident ID Description Priority Level Assigned Team Confidence Status Time

Real-time Routing Analytics

Today's Routing Accuracy 99.7%
Average Analysis Time 3.2 seconds
Tickets Routed Today 2,847
Re-routing Rate 0.3%

Team Assignment

Network Team 2 active incidents
Database Team 2 active incidents
Security Team 2 active incidents
Application Team 3 active incidents

Configuration Intelligence & Service Mapping

How AI leverages service topology and infrastructure intelligence for precise incident routing

🔗 Service Intelligence Integration

Infrastructure Components

  • Compute Resources: Servers, containers, cloud instances
  • Network Infrastructure: Routers, switches, load balancers
  • Application Stack: Web services, APIs, microservices
  • Data Layer: Databases, caches, storage systems

Service Topology Mapping

  • • Real-time service dependency discovery
  • • Impact analysis and blast radius assessment
  • • Team ownership and responsibility mapping
  • • Service criticality and business priority ranking

🤖 AI Decision Process

Intelligent Service Detection

  • • Parse incident descriptions for service keywords
  • • Map error patterns to specific infrastructure layers
  • • Identify downstream and upstream service impacts
  • • Correlate incidents with service topology data

Context-Aware Routing

  • • Analyze service criticality and business impact
  • • Consider team specialization and current capacity
  • • Apply escalation policies and SLA requirements
  • • Optimize routing for fastest time to resolution

Service Impact Analysis

💳

Payment Gateway

Status: Degraded
Assigned Team: Database
Business Impact: High
🔐

User Authentication

Status: Warning
Assigned Team: Security
Business Impact: Medium
📧

Email Service

Status: Healthy
Assigned Team: Network
Business Impact: Low

Proven Results & AI Performance

98.3%
First-Time Routing Accuracy
↑ Industry Leading
4.2s
Average Analysis Time
Real-time Processing
75%
Reduction in Resolution Time
Faster Support
1.2%
Ticket Re-routing Rate
Minimal Corrections

🏆 Client Transformation

Before AI Implementation

  • Average routing time: 35 minutes
  • 30% tickets assigned to wrong teams
  • Average resolution: 18.5 hours
  • Manual workload distribution

After AI Implementation

  • Average routing time: 4.2 seconds
  • 1.7% tickets require re-routing
  • Average resolution: 4.6 hours
  • Intelligent load balancing

🏢 Global Technology Services Company

Challenge

Managing 80,000+ monthly incidents across 24/7 global operations with inconsistent routing and team overload.

Solution

AI-powered triage system with Configuration Intelligence integration, skills-based routing, and real-time workload optimization.

Results

$3.2M annual savings, 75% faster resolution, 98.3% routing accuracy, 40% improvement in team satisfaction.

Seamless Enterprise Integration

Our AI triage solution integrates seamlessly with your existing ITSM ecosystem and communication platforms for immediate deployment

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Cherwell

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Freshworks

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