Coforge

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Composable Enterprise

Multi-Agent Incident Resolution

Coforge’s Multi-Agent Incident Resolution is an AI-powered run and managed automation solution designed to significantly reduce operational support costs through a shift-left approach and automated L1/L2/L3 support.
Event Ingestion
Collect alerts, logs and telemetry from apps, infrastructure and monitoring tools
Triage and Classification
Categorize incidents, assess severity and route to appropriate agents
Root Cause Analysis
Analyze historical data, correlate signals, and identify probably cause
Remediation & Runbooks
Execute automated workflows or suggest steps for resolution

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Our solution combines agentic AI, self-healing automation, proactive monitoring, and data-driven optimization to stabilize, analyze, and continuously improve automation and application operations at scale.



 

Key Features:

AI-Driven Support Automation
  • Agentic AI for automated monitoring, triage, and proactive ticket creation
  • Fully automated L1 support including RCA, simple issue resolution, and communication
  • AI-based analysis of historical incident data to identify unstable and high‑failure processes
Self-Healing and Proactive Operations
  • Self-healing bots for UI, application, and infrastructure issues
  • Environment health checks (virtual machine restart, service recovery, VPN reconnect, disk cleanup, bot service restart)
  • Automated retries, failover logic, and regression handling for dependent app changes
Stabilize – Analyze – Optimize Framework
  • Formalized L1/L2/L3 support categorization
  • Continuous stabilization via root cause insights and optimization recommendations
  • Long-term process stabilization through proactive improvement initiatives
Specialized AI Agents
  • Exception monitoring agent
  • Triage agent
  • Root cause analysis (RCA) agent
  • Issue optimization agent
  • Application and virtual machine (VM) health check agents
  • Credential and access recovery agents

Key Benefits:

 

  • 50–70% cost reduction for each automation
  • Incident prevention using predictive insights and proactive remediation
  • 24x7 resilient operations with minimal manual intervention
  • Faster resolution cycles through automated triage and root cause analysis (RCA)
  • Improved automation stability via self-healing and regression control
  • Scalable run model enabling continuous optimization and innovation