Autonomous triage
Classify, enrich, route, and prioritize service issues with full reasoning and escalation controls.
Product
Unify incidents, requests, changes, problems, knowledge, and SLAs on one AI-native service platform with governed autonomous agents.
Signal ingested from observability stack
Graph impact: payments API, 4 services
AI plan requires approval: restart pool
Runbook executed with rollback ready
How it works
Every product shares the same operational graph, policy controls, integrations, AI agents, and audit model. That keeps context consistent from detection to resolution.
Platform preview
Capabilities
Classify, enrich, route, and prioritize service issues with full reasoning and escalation controls.
Execute approved runbooks for common incidents, requests, and access issues.
Score blast radius across the graph CMDB before standard and emergency changes are approved.
Ground every recommendation in runbooks, knowledge articles, and prior incident history.
Give employees a governed self-service experience across web, Slack, Teams, email, and mobile.
Record every AI decision, human approval, workflow action, and rollback.
Customer outcomes
Financial services
Healthcare
Manufacturing
Resources
Built for CIO, IT operations, architecture, and security review.
OpenBuilt for CIO, IT operations, architecture, and security review.
OpenBuilt for CIO, IT operations, architecture, and security review.
OpenBuilt for CIO, IT operations, architecture, and security review.
OpenFAQ
StackFlow is built around AI agents, graph context, workflow automation, and governance rather than manual ticket queues alone.
Yes. The platform story should emphasize connectors and workflow coexistence before full migration.
Agents operate within permissions, policy checks, confidence thresholds, approvals, and immutable audit trails.
Publish only verified metrics, approved customer stories, and documented security or compliance claims.