AI-Assisted Network Incident Resolution
Telecommunications (B2B)
Overview
Enable NOC engineers at tier-1 telecom operators to resolve customer-impacting network incidents in under 10 minutes with complete audit trails and minimal manual intervention
Key Stakeholders
-
NOC Engineer - Faster root-cause analysis, fewer escalations
-
Operations Manager - Lower MTTR, compliance-ready audit processes
-
Telecom Customers - Rapid service restoration
-
Agent Developers - Performance-based compensation
Technical Architecture
Deployment: Toryk-powered multi-agent mesh in telecom's private cloud Integration: OSS/BSS stack integration with Slack notifications
Agent Ecosystem
-
Sorter Agent - Classifies and routes incidents
-
Diagnostic Agent - Analyzes logs and identifies root causes
-
Resolution Agent - Creates tickets and dispatch procedures
Workflow
-
Incident Detection - Monitoring system triggers LinkDown alert to Sorter Agent
-
Classification - Sorter tags incident (Network/Layer 2) and spawns Diagnostic Agent
-
Root Cause Analysis - Diagnostic Agent analyzes router logs, identifies fiber cut location
-
Automated Response - Resolution Agent creates trouble ticket, dispatches field tech, posts mitigation plan
-
Human Approval - NOC Engineer reviews Slack summary and approves action
-
Settlement - Agents claim fees, protocol takes 2% fee, unused tokens refunded
-
Documentation - MTTR recorded, audit trail stored, KPIs updated
Failure Handling
-
Low Confidence Scenarios - Human review triggered when diagnostic confidence < 80%
-
Budget Controls - Session pauses when spending hits cap, requires manager approval