Live topology
Auto-discover services, infrastructure, cloud resources, dependencies, and ownership.
Product
Correlate alerts, logs, topology, services, and dependencies into a live operational graph that AI agents can reason over and act on.
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
Auto-discover services, infrastructure, cloud resources, dependencies, and ownership.
Reduce alert noise by grouping related signals around affected services and business impact.
Trace symptoms to dependency paths, recent changes, failed checks, and degraded services.
Score service health continuously and surface failure risks before they cascade.
Convert detection into governed remediation with approvals, rollbacks, and audit trails.
Give NOC, SRE, and service owners one shared view of incident context.
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.