Unified work queue
Prioritize work by business impact, SLA risk, service health, and AI confidence.
Product
Bring tickets, alerts, dependencies, runbooks, AI recommendations, approvals, and customer impact into a single operating surface.
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
Prioritize work by business impact, SLA risk, service health, and AI confidence.
See timeline, topology, evidence, probable cause, and recommended actions in one view.
Sync actions and decisions across Slack, Teams, email, and ITSM systems.
Review AI actions with context, blast radius, rollback plans, and policy checks.
Track MTTR, ticket deflection, recurrence, cost impact, and SLA exposure.
Give executives, responders, managers, and service owners the context they need.
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.