AI Incident Management Agent
Autonomous IT incident triage and resolution system. AI classifies incidents, searches historical resolutions via vector similarity, and decides between auto-resolve, assisted resolution, or escalation. Integrates with Jira, Confluence, Slack, and Email.
Challenge
Enterprise IT teams spend 60-70% of their time on repetitive L1/L2 incidents — password resets, service restarts, permission requests. Human triage is slow, inconsistent, and expensive at scale.
Approach
Built an autonomous agent that receives incidents from any source (Jira, Slack, Email), classifies severity and category using LLM reasoning, searches a vector database of 10,000+ historical resolutions for similar cases, and decides: auto-resolve, provide assisted resolution steps, or escalate to a human. The agent writes back to Jira with full context and resolution notes.
Outcome
85% faster resolution for L1 incidents. 70% of tickets handled without human intervention. Projected savings of $324K/month for a 500-person IT organization. The system learns from every resolution, continuously improving accuracy.
Architecture
Interactive Demo
Technology Stack
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