IncidentAgent
Investigates incidents, correlates signals, proposes fixes, and executes approved runbooks.
Product
Design, ground, approve, and operate IT agents that work across StackFlow, ITSM tools, observability, cloud, and collaboration systems.
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.
Capabilities
Investigates incidents, correlates signals, proposes fixes, and executes approved runbooks.
Scores risk, predicts blast radius, schedules safer windows, and rolls back when policies require.
Retrieves precise answers from runbooks, KBs, docs, and prior incidents.
Finds cloud waste, rightsizing opportunities, and policy drift.
Monitors controls and builds evidence packages for audit readiness.
Govern identity, permissions, model usage, approval thresholds, and audit trails.
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.