Idle GPU clusterRightsize recommendation routed to platform owner
$18K/mo
Product
Operate multi-cloud estates with AI-native infrastructure control
Connect AWS, Azure, GCP, Kubernetes, infrastructure telemetry, observability, and ITSM data into one command center for cost, health, risk, and remediation.
Cloud Operations
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.
Inventory
See compute, storage, network, containers, serverless, and managed services across clouds.
Platform preview
What customers see inside StackFlow.
Responsive product preview for Cloud Operations. Text stays readable on desktop, tablet, and mobile.StackFlow Cloud OperationsLive workspace | AI context, graph intelligence, workflows, and governance
Multi-cloud Control Center
Inventory, policy, cost, risk, ownership, and remediation across clouds
Encryption driftPolicy violation detected in storage estate
High
Kubernetes spikeDeployment linked to 41% compute increase
Watch
Tag coverageAI assigned probable cost center for 184 resources
91%
AI context
Graph context and service ownership attached
Policy, approval, and rollback state visible
Monthly waste removed
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.
Unified inventory
See compute, storage, network, containers, serverless, and managed services across clouds.
Policy enforcement
Detect drift in tagging, encryption, access, backup, and configuration policies.
Cloud incident context
Link cloud events to services, dependencies, owners, and customer impact.
Cost controls
Surface waste, idle resources, oversized instances, and anomaly patterns.
Governed remediation
Schedule, approve, and execute cloud changes through StackFlow workflows.
Executive visibility
Connect cloud health, spend, and resilience to business KPIs.
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.
Cloud Operations overview for enterprise buyers
Built for CIO, IT operations, architecture, and security review.
OpenSee Cloud Operations 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.