Four stages of autonomous intelligence — from raw signal to resolved incident, without human intervention.
2.4M signals/min from alerts, logs, metrics, tickets, and cloud events — normalized and enriched in real-time.
Every signal mapped to the Graph Intelligence CMDB — connecting CIs, relationships, history, and impact paths.
The StackFlow AI Engine (Claude Sonnet/Opus) traverses the knowledge graph with RAG to generate context-aware resolution plans.
AI agents execute remediation — restart services, update CMDB, route tickets, notify stakeholders. Zero-touch.
Three specialized AI agents, orchestrated by the Cognitive Graph RAG engine.
Autonomously triages, correlates, and resolves incidents. Traverses the knowledge graph to find root cause, applies proven runbooks, and closes tickets — all within minutes.
Evaluates change risk against the CMDB graph, predicts blast radius, schedules optimal deployment windows, and automatically rolls back if anomalies are detected post-change.
Continuously indexes runbooks, KB articles, past incidents, and documentation. Surfaces contextually relevant solutions for every ticket — learning and improving continuously.