Alert storm138 alerts clustered into one customer-impacting incident
Noise -82%
Product
Predict, prevent, and remediate infrastructure disruption
Correlate alerts, logs, topology, infrastructure dependencies, cloud resources, services, and changes into a live operational graph that AI agents can reason over and act on.
IT Operations Management
Governed AI active
Incident timeline
Signal ingested from observability stack
Graph impact: payments API, 4 services
AI plan requires approval: restart pool
Runbook executed with rollback ready
Agent confidence
96policy aligned
Graph CMDB
Actions
How it works
Built on StackFlow's shared AI, graph, workflow, and governance layer.
Every product shares the same operational graph, policy controls, integrations, AI agents, and audit model. That keeps context consistent from detection to resolution.
Shared StackFlow layer
AI + Graph + Workflow + Governance
Every workflow runs through the same governed operating model.
Signals, context, policy, approvals, automation, and evidence stay connected from intake to outcome.
Topology
Auto-discover services, infrastructure, cloud resources, dependencies, and ownership.
Platform preview
What customers see inside StackFlow.
Responsive product preview for IT Operations Management. Text stays readable on desktop, tablet, and mobile.StackFlow IT Operations ManagementLive workspace | AI context, graph intelligence, workflows, and governance
Operations Graph
Topology, event correlation, service health, and root cause in one view
Root causeConfig change mapped to degraded checkout service
Likely
Service mapAPI gateway, DB pool, and queue lag dependency path
Mapped
RunbookRestart worker group with rollback attached
Ready
AI context
Graph context and service ownership attached
Policy, approval, and rollback state visible
Service health forecast
Trend and governed resolution over time
Governed workflow loop
Each action links to graph context, policy checks, owner approval, evidence, and business impact.
Capabilities
Enterprise-grade depth for real operations.
Live topology
Auto-discover services, infrastructure, cloud resources, dependencies, and ownership.
Event correlation
Reduce alert noise by grouping related signals around affected services and business impact.
Root cause graphing
Trace symptoms to dependency paths, recent changes, failed checks, and degraded services.
Predictive health
Score service health continuously and surface failure risks before they cascade.
Runbook execution
Convert detection into governed remediation with approvals, rollbacks, and audit trails.
Operations workspace
Give NOC, SRE, and service owners one shared view of incident context.
Customer outcomes
Proof buyers can inspect, defend, and share.
Package customer evidence by industry, workflow, stakeholder, and measurable business outcome so every evaluator sees the proof that matters to them.Financial services
Cloud waste remediation across regulated multi-cloud estates.
$2.3Mmodeled annual savingsRead storyHealthcare
AI-assisted incident response for clinical system availability.
65%MTTR improvementRead storyManufacturing
Predictive service health across plant and enterprise systems.
78%downtime reductionRead storyResources
Guidance for evaluation and implementation.
IT Operations Management overview for enterprise buyers
Built for CIO, IT operations, architecture, and security review.
OpenSee IT Operations Management in action
Built for CIO, IT operations, architecture, and security review.
OpenImplementation and migration checklist
Built for CIO, IT operations, architecture, and security review.
OpenModel savings and payback
Built for CIO, IT operations, architecture, and security review.
OpenFAQ
Common evaluation questions.
How is StackFlow different from legacy ITSM?
StackFlow is built around AI agents, graph context, workflow automation, and governance rather than manual ticket queues alone.
Can StackFlow work with existing tools?
Yes. The platform story should emphasize connectors and workflow coexistence before full migration.
How are AI actions governed?
Agents operate within permissions, policy checks, confidence thresholds, approvals, and immutable audit trails.
How should proof be handled?
Publish only verified metrics, approved customer stories, and documented security or compliance claims.