Sense
Ingest alerts, logs, tickets, traces, cloud events, and service health.
StackFlow Autonomous IT Platform
StackFlow brings AI agents, graph intelligence, workflows, and governance into one platform so enterprise IT teams can detect, decide, and remediate incidents before they disrupt the business.
Signal ingested from observability stack
Graph impact: payments API, 4 services
AI plan requires approval: restart pool
Runbook executed with rollback ready
StackFlow AI Platform
Ingest alerts, logs, tickets, traces, cloud events, and service health.
Map every signal to services, owners, dependencies, changes, and business impact.
Ground AI in runbooks, policies, prior incidents, and graph context.
Execute approved workflows across ITSM, cloud, observability, and collaboration tools.
Audit every AI decision, model call, human approval, and remediation step.
Autonomous workforce for IT
Investigates, correlates, and remediates incidents with approval controls.
Learn moreScores change risk, predicts blast radius, and guards deployments.
Learn moreRetrieves answers from runbooks, KBs, docs, and incident history.
Learn moreFinds cloud waste and routes savings opportunities through workflows.
Learn moreMonitors drift, remediates controls, and prepares evidence.
Learn moreWorkflows
Use one AI-native operating model for ITSM, ITOM, cloud operations, FinOps, compliance, and executive visibility. Each workflow shares the same graph context, policy controls, and audit trail.
View ProductsResolve service requests, incidents, changes, and knowledge workflows from one queue.
Root cause candidate: DB pool saturation
Affected services: checkout and billing
Next best action: scale pool with approval
Correlate alerts, topology, changes, and service health into guided remediation.
Business service: digital payments
Blast radius: 4 services, 2 regions
Recommended action: drain unhealthy nodes
Control inventory, policy, security posture, and remediation across clouds.
Inventory is normalized across providers
Policy exceptions are tied to owners
Remediation is routed through approval controls
Turn savings recommendations into approved engineering workflows.
Savings are tied to owners and tickets
Commitment coverage is modeled by workload
Finance receives monthly chargeback evidence
Audit every AI action, permission, model call, human approval, and outcome.
Human approver, model, prompt, policy, and outcome are stored
Rollback and change controls are attached
Evidence is export-ready for security review
Customer outcomes
Financial services
Healthcare
Manufacturing
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