Reduce alert noise
Group related signals into service-aware situations with impact, ownership, and priority.
Product
AI-native infrastructure operations and AIOps.
Correlate alerts, logs, topology, infrastructure state, cloud dependencies, services, changes, and runbooks into a live operational graph AI agents can reason over and act on.
NuralAI ITOM
Signal to root-cause-ready action
Observe
Ingest events, alerts, metrics, logs, traces, deployments, and health signals.
How it works
Infrastructure operations grounded in topology, telemetry, service impact, and safe automation.
NuralAI connects observability signals to infrastructure, cloud dependencies, services, owners, changes, runbooks, and policy so operations teams can act before incidents cascade.Find root cause faster
Trace symptoms to dependency paths, recent changes, degraded checks, and service health.
Prevent repeat incidents
Connect incidents to problem candidates, runbook updates, change controls, and learning loops.
Automate with controls
Use policies, approvals, confidence thresholds, rollback state, and evidence capture for remediation.
Product capabilities
Enterprise-grade depth for real it operations management 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.
Use cases
Run high-value workflows on one NuralAI product foundation.
Each use case connects AI reasoning, graph context, owner accountability, policy controls, and audit evidence.Event correlation
Cluster alerts, logs, traces, and health checks around affected services and owners.
Root cause graph
Show dependency paths, recent changes, infrastructure state, and likely causal signals.
Service health scoring
Track availability, performance, error budgets, SLA exposure, and customer impact.
Runbook remediation
Move from diagnosis to approved remediation with rollback and audit evidence.
Change impact
Connect deploys and changes to incidents, service degradation, dependency risk, and approvals.
Predictive operations
Surface risk trends and failure patterns before they become incidents.
How NuralAI automates work
Signal to root-cause-ready action.
Every workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
IT Operations Management Command Center
Governed AI active
Live product workspace
Event correlationCluster alerts, logs, traces, and health checks around affected services and owners.
Active
Root cause graphShow dependency paths, recent changes, infrastructure state, and likely causal signals.
Policy
Service health scoringTrack availability, performance, error budgets, SLA exposure, and customer impact.
Evidence
Alert noise60%reduction model in duplicate situations
MTTR42%improvement model with graph context
Repeat issues30%recurrence reduction model
IT Operations Management connects signals, graph context, policy, approvals, automation, and evidence in one NuralAI operating model.
Platform preview
What customers see inside NuralAI.
Responsive product preview for IT Operations Management. Text stays readable on desktop, tablet, and mobile.NuralAI IT Operations ManagementLive workspace | AI context, graph intelligence, workflows, and governance
Operations Graph
Topology, event correlation, service health, and root cause in one view
Alert storm138 alerts clustered into one customer-impacting incident
Noise -82%
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
Approve action
Open audit trail
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.
Business outcomes
Build a product business case executives can inspect.
Use NuralAI to connect product adoption to measurable service, operations, cost, risk, and governance outcomes. Validate final projections with your real environment data during discovery.reduction model in duplicate situations
improvement model with graph context
recurrence reduction model
runbooks linked to approval trail
Third-party software integrations
Connect the tools your teams already run.
NuralAI brings existing ITSM, observability, cloud, identity, CI/CD, security, and collaboration systems into the same product operating model.
Live connector fabric
12 domains
Graph-aware
Policy-routed
NuralAI AI Platform
Every connector feeds the same signal, graph, workflow, AI decisioning, and audit model.
SenseGraphDecideActGovern
Service workflow
Tickets, requests, changes, approvals, and collaboration context.
IT
ITSM
Incidents and requests
JR
Jira
Engineering work
SL
Slack
War-room updates
TM
Teams
Approvals and owners
Observability
Signals, health, topology, escalations, logs, and event context.
PD
PagerDuty
Escalation state
DD
Datadog
Metrics and traces
SP
Splunk
Logs and searches
Cloud and infrastructure
Assets, projects, resources, posture, policy, and cost signals.
AW
AWS
Accounts and assets
AZ
Azure
Subscriptions
GC
GCP
Projects and services
Identity and delivery
Access, deployment events, ownership, controls, and release context.
OK
Okta
Identity context
GH
GitHub
Deployments and code
CI
CI/CD
Release signals
Resources for you
IT Operations Management materials for evaluation and rollout.
ITOM command center demo
See correlated signals become root-cause-ready incidents and governed runbooks.
OpenAIOps operating model
Plan topology, correlation, owner routing, remediation, and measurement.
OpenITOM value model
Estimate alert reduction, MTTR, recurrence, and outage impact.
OpenGoverned remediation controls
Review approval, rollback, policy, and evidence patterns.
OpenFrequently asked questions
Common it operations management questions.
How does NuralAI ITOM reduce alert noise?
NuralAI correlates signals around services, topology, dependency paths, recent changes, ownership, and business impact.
Does NuralAI replace observability tools?
No. NuralAI connects observability, ITSM, cloud, CI/CD, identity, and collaboration systems into a governed operations workflow layer.
How does root cause analysis work?
NuralAI uses graph context, recent changes, health signals, runbooks, and historical incidents to surface likely causes and recommended actions.
Can remediation be automated?
Yes. Remediation can run through policies, approvals, confidence thresholds, rollback plans, and audit evidence.
Powered by the NuralAI AI Platform
Connect topology, AIOps, service health, runbooks, and governance in one NuralAI ITOM model.
Correlate alerts, logs, topology, infrastructure state, cloud dependencies, services, changes, and runbooks into a live operational graph AI agents can reason over and act on.
ITOM AI product surface
Topology graph, incident correlation, root-cause path, and blast radius.
NuralAI ITOM turns noisy alerts into graph-grounded recommendations, using topology, traces, deployments, owners, and health signals to identify root cause and safe remediation paths.
NuralAI ITOM CommandRoot cause path active
427Signals clustered
3Root paths
8Services at risk
Kubernetes restarts
ClusterRestart spike correlated to checkout deploy and memory pressure.
Trace latency
RCADependency path highlights database pool saturation.
Blast radius
ImpactPayments, orders, and fulfillment workflows marked at risk.
- Cluster events across logs, metrics, traces, incidents, and deploy signals.
- Build root-cause path using topology and recent change context.
- Estimate blast radius by service, owner, revenue path, and customer impact.
- Recommend remediation runbook with rollback and validation checks.
- Record model trace and operational evidence for post-incident review.
Product depth
Inspect topology evidence, root-cause paths, and remediation controls.
The ITOM surface shows correlated signals, topology context, blast radius, runbook recommendation, approval metadata, and post-incident evidence.
Signal detectedContext graph assembledAI recommendation generatedPolicy gate evaluatedHuman approval capturedAction executedEvidence recorded
ITOM root-cause recordLive operating evidence
RecordOperating signalAI recommendationStatus
EVT-8821427 alerts clustered across checkout and database layersRank database pool saturation as likely causeRanked
DEP-2104Deploy event occurred 11 minutes before latency spikeCompare rollback and scale remediation pathsReview
SVC-778Payments, orders, and fulfillment in blast radiusNotify owners and open incident bridgeP1
RCA-019Validation checks passed after remediationAttach RCA evidence to problem recordDone
AI Product Surface
Every product area runs on the same governed AI operating model.
NuralAI product pages now show the actual work pattern buyers inspect: graph-grounded recommendations, policy-aware agents, human-in-the-loop approval, AI-generated remediation plans, model traceability, and executive value updates.
Product AI CommandModel trace active
Product signal is correlated against services, owners, cloud resources, and SLA risk.
SignalAI-generated remediation plan cites graph evidence, runbook, confidence, and rollback.
AIPolicy engine decides whether autonomous action is allowed or human approval is required.
GateModel trace, approver, action result, and value impact are stored for audit.
Evidence