How It Works

Our AI assistant guides your team through every phase of the incident lifecycle with intelligent automation.

Phase 1: Incident Triage & Contextualization

Instant context from every corner of your stack. The moment an incident is triggered, our AI springs into action.

Phase 1: Incident Triage & Contextualization

Phase 2: Root Cause Analysis & Troubleshooting

Pinpointing the problem with AI-powered investigation. Our core engine analyzes ticket metadata, logs, and metrics to generate probable root causes.

Phase 2: Root Cause Analysis & Troubleshooting

Phase 3: Interactive Diagnostics & Resolution

Collaborative troubleshooting that adapts in real-time. The assistant suggests specific diagnostic steps and asks for confirmation before taking action.

Phase 3: Interactive Diagnostics & Resolution

Phase 4: Post-Feedback Resolution

Closing the loop and capturing organizational learning. Once resolved, the AI confirms resolution and generates a post-mortem report.

Phase 4: Post-Feedback Resolution

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Integration Layer

Continuous data ingestion from ticketing systems and observability.

AI Core Engine

Pattern recognition, root cause analysis, and intelligent recommendation generation.

Knowledge Graph

Living memory of incidents, resolutions, and learnings that grows smarter over time.