AWS policy driftPublic S3 bucket mapped to payments service
SafeAI Operating Platform for Enterprise IT
The AI Operating Platform for Enterprise IT.
NuralAI is an enterprise AI control plane for IT operations, giving CIOs, CTOs, infrastructure leaders, service operations, and security teams one governed platform for graph-grounded recommendations, policy-aware agents, human approval, evidence-backed action, and executive value reporting.
NuralAI Control Panel
Governed AI active
Signal to governed action
Kubernetes saturationCheckout cluster CPU and restart spike
P1Azure cost anomalyIdle GPU pool routed to FinOps owner
$284KGraph context connects cloud resources, Kubernetes clusters, services, owners, policies, incidents, cost, and risk before AI acts.
SSOBuilt for SSO, RBAC, audit trails, approval gates, and rollback evidence
FabricConnects ITSM, cloud, observability, identity, CI/CD, and collaboration tools
SecureDeployment options structured for enterprise security and architecture review
ROIExecutive value reporting for reliability, automation, cost, risk, and governance
Enterprise AI control plane
NuralAI is an enterprise AI control plane for IT operations.
The platform brings data ingestion, graph context, policy-aware agents, approval gates, execution connectors, model traceability, and audit evidence into one operating architecture.
Animated AI workflow
Watch NuralAI turn operational signals into governed action.
This is the product motion the site should lead with: signal detected, graph context assembled, AI recommendation generated, policy gate evaluated, human approval captured, action executed, evidence recorded, and executive value updated.
NuralAI AI CommandGoverned execution live
P1Business impact
4Services affected
100%Evidence design
Payments API latency
P1Checkout degradation tied to database pool saturation.
Cloud policy drift
RiskPublic exposure mapped to regulated workload owner.
Idle GPU pool
ROIFinOps agent routes savings plan to owner approval.
- Graph context grounds every recommendation in service, owner, dependency, risk, and cost data.
- AI-generated remediation plan includes confidence, blast radius, runbook, and rollback evidence.
- Policy-aware agents evaluate production risk before autonomous action is allowed.
- Human approval is captured when risk, privilege, or regulated scope requires it.
- Model trace, action result, and executive value update are written to audit evidence.
Product proof surfaces
AI-native IT operations should look like real software, not marketing cards.
NuralAI presents the work surfaces enterprise buyers expect to inspect: AI triage, root-cause graph, policy gate decision, approval record, audit/model trace, and executive ROI dashboard. Each view ties graph-grounded recommendations to policy-aware agents, human-in-the-loop control, governed autonomous action, and evidence-backed automation.
Incident AI TriageLive signal
Payments incident triaged with graph context and SLA risk.
AI classifies the incident, links affected services, identifies the owner, recommends remediation, and preserves the model trace for review.
P1Business impact12SLA risks98%Owner match
RecordAI recommendationStatus
INC-10482Scale database pool after approvalApproval
SLA-091Escalate premium account queueRisk
KBA-2280Draft knowledge from evidenceDraft
Root-Cause GraphAIOps
Root-cause path assembled before action.
Topology, deploy events, telemetry, ownership, and blast radius are scored before NuralAI recommends a runbook.
Policy Gate DecisionBlocked
Production action waits for policy approval.
Policy-aware agents evaluate environment, privilege, data scope, rollback readiness, and business impact before execution.
ControlDecision inputState
IdentityLeast-privilege connector scopePass
RollbackValidation runbook attachedPass
ChangeManager approval requiredGate
Approval RecordHuman control
Human-in-the-loop approval is part of the product record.
Approvers see the AI-generated remediation plan, blast radius, policy decision, rollback evidence, and expected impact.
- Service owner notified
- Change manager approved
- Execution connector released
- Outcome evidence attached
Audit / Model TraceEvidence
Every recommendation carries a model trace.
Prompt context, graph inputs, policy result, approver, connector call, execution output, and rollback state are linked.
{ "trace": "mdl-8842", "context": "service_graph", "policy": "change_required", "approval": "captured", "evidence": "stored" }
Executive ROI DashboardValue
Executives see reliability, risk, savings, and automation as one operating model.
Value reporting links outcomes back to source records so CIO, CFO, CTO, and CISO teams can inspect proof.
97.8%Service health$2.8MSavings queue35%Automation model
MetricSource evidenceReview
RiskPolicy gates and blocked actionsReady
CostApproved FinOps actionsModeled
NuralAI AI Platform
NuralAI Control Panel for infrastructure and cloud management.
NuralAI gives AI the infrastructure topology, cloud inventory, service ownership, ITSM history, workflow permissions, and governance controls required to take action safely.Discover infrastructure and cloud
Ingest AWS, Azure, GCP, Kubernetes, compute, storage, network, IAM, tickets, alerts, telemetry, cost, and identity signals.
Map operational context
Ground every AI recommendation in services, infrastructure dependencies, cloud resources, owners, runbooks, policy, and business impact.
Remediate through ITSM
Route approved fixes through incidents, changes, requests, runbooks, owner approvals, rollback plans, and connected cloud tools.
Prove every action
Capture model calls, reasoning, approvals, rollback plans, execution results, and audit evidence for every sensitive infrastructure action.
Autonomous workforce for IT
Meet the NuralAI AI agents that move work from queue to outcome.
NuralAI agents are role-aware specialists for service, operations, cloud, cost, compliance, and executive workflows. Each agent is grounded in graph context, governed by policy, and measured by business outcome.
Autonomous agent workspaceHuman approval where risk requires it
IncidentAgent
Correlates alerts, topology, deploys, owners, and rollback options.
CloudOpsAgent
Finds drift, policy gaps, exposed assets, and remediation paths.
FinOpsAgent
Routes savings to owners with business context and approval.
ComplianceAgent
Monitors control drift and assembles evidence automatically.
Enterprise IT workflows
Delivering governed workflows across infrastructure, cloud, ITSM, and FinOps.
NuralAI unites infrastructure data, cloud context, ITSM workflows, AI, and security so teams can automate service, operations, cost, and governance work without losing control.
Solutions
One AI-native platform for infrastructure, cloud, ITSM, and FinOps workflows.
Each product area runs on the same NuralAI graph, workflow, integration, and governance model so infrastructure, service, cloud, cost, and risk context follows work from signal to executive report.Infrastructure
Infrastructure built for governed AI execution.
Correlate topology, telemetry, service health, root cause, and governed remediation. Explore Infrastructure
ITOM Operations Graph
AIOps correlation active
Service health command
Topology, events, noise reduction, and remediation
8 critical services
SignalServiceSeverityOwner
EVT-8921Checkout cluster saturationCriticalSRE
EVT-8914Database replica lagHighDBA
CHG-44321Deployment correlated to latencyChangePlatform
RUN-2280Restart pool runbook readyAIOps
Topology insight
Business service: digital payments
Blast radius: 4 services, 2 regions
Recommended action: drain unhealthy nodes
Cloud Ops
Cloud Ops built for governed AI execution.
Manage AWS, Azure, GCP, Kubernetes, posture, ownership, policy drift, and approved remediation. Explore Cloud Ops
ITSM Service Workspace
SLA risk contained
Unified agent queue
Incident, request, change, and knowledge work
312 active items
TicketWork itemPrioritySLA
INC-10482Payments API latency investigationP112m
REQ-77831Access request awaiting manager approvalP34h
CHG-44321Low-risk certificate rotation changeP21d
KB-22019Suggested article for VPN resetAIReady
Incident detail
Root cause candidate: DB pool saturation
Affected services: checkout and billing
Next best action: scale pool with approval
ITSM
ITSM built for governed AI execution.
Route incidents, requests, changes, knowledge, and approvals through governed service workflows. Explore ITSM
ITSM Service Workspace
SLA risk contained
Unified agent queue
Incident, request, change, and knowledge work
312 active items
TicketWork itemPrioritySLA
INC-10482Payments API latency investigationP112m
REQ-77831Access request awaiting manager approvalP34h
CHG-44321Low-risk certificate rotation changeP21d
KB-22019Suggested article for VPN resetAIReady
Incident detail
Root cause candidate: DB pool saturation
Affected services: checkout and billing
Next best action: scale pool with approval
FinOps
FinOps built for governed AI execution.
Turn waste, rightsizing, commitments, and anomalies into approved savings workflows. Explore FinOps
FinOps Savings Cockpit
Savings workflow ready
Cloud financial operations
Savings, commitments, unit cost, and chargeback
$2.8M annual opportunity
FindingScopeSavingsStatus
Idle computeAWS prod$620KReady
RI coverageAzure DB$410KReview
Storage tierGCP data$185KApprove
RightsizeKubernetes$730KPlanned
Executive value
Savings are tied to owners and tickets
Commitment coverage is mapped by workload
Finance receives monthly chargeback evidence
Governance
Governance built for governed AI execution.
Audit every AI decision, permission, model call, human approval, and action outcome. Explore Governance
AI Governance Console
Every action audited
Responsible AI operations
Approvals, policy, risk, evidence, and audit trails
1,248 AI actions logged
ControlScopeRiskStatus
POL-014Restart production poolMediumApproved
AUD-882AI remediation traceLowLogged
SEC-119Privileged action reviewHighPending
EVD-430SOC2 evidence packetLowReady
Approval record
Human approver, model, prompt, policy, and outcome are stored
Rollback and change controls are attached
Evidence is export-ready for security review
Business transformation
This is what AI-native Enterprise IT operations can look like.
Use NuralAI to connect infrastructure management, ITSM modernization, cloud operations, FinOps, and governed autonomous action programs to service reliability, automation, cost control, auditability, risk, and governance outcomes. Quantified results should be validated in the ROI model with your real environment data.Service reliability
Unify incidents, requests, changes, knowledge, owners, and SLAs in a governed AI operating model.
MTTRreduction modelAutomation control
Route AI recommendations through policy, approvals, runbooks, and rollback evidence before action.
RBACapproval-gated executionCloud and FinOps
Move waste, drift, exposure, and policy findings into owner-aware remediation workflows.
ROImodel based on your environmentAuditability
Capture model calls, decisions, approvals, execution records, and evidence artifacts for review.
100%action evidence designExecutive visibility
Give leaders a command view of service health, savings, risk, automation, and governance posture.
1operating scorecardWhy NuralAI
Built for Enterprise IT teams that need AI to act with control.
NuralAI gives infrastructure, cloud, service, security, and executive evaluators a clear path to inspect architecture, trust controls, migration approach, ROI assumptions, and product demos before implementation.AI-native Enterprise IT model
Infrastructure, cloud, ITSM, AI, graph, workflow, integration, and governance are designed as one platform layer.
Migration-friendly
Connect incumbent ITSM, observability, cloud, identity, CI/CD, and collaboration tools without day-one replacement.
Audit-ready by default
Every recommendation, approval, execution, rollback, and evidence artifact is captured for review.
Executive-grade value case
Tie automation to MTTR, ticket deflection, cloud savings, risk reduction, and productivity outcomes.
Enterprise proof
Security, integrations, deployment, and value materials for executive review.
Architecture and trust review
Review SSO, RBAC, audit trails, data handling, governance, and responsible AI controls.
ExploreEnterprise integration fabric
Connect ITSM, cloud, observability, identity, CI/CD, collaboration, and data platforms.
ExploreEnterprise deployment model
Plan security review, implementation waves, access controls, environments, and rollout governance.
ExploreDPA and procurement path
Centralize legal, privacy, security, and procurement review materials for enterprise buyers.
ExploreOfficial company information
NuralAI Inc official site.
This website is operated by NuralAI Inc, the company behind the NuralAI AI Operating Platform for Enterprise IT, service reliability, automation, cost control, auditability, cloud operations, and governed AI execution.
AI Operating Workflow
Watch NuralAI reason from signal to governed action.
The NuralAI AI operating layer does more than display work. It assembles graph context, asks policy-aware agents for a recommendation, gates risky execution, captures human approval, and records model traceability for audit.
Enterprise AI Control PlaneModel trace active
Payments API latency, cloud drift, and cost anomaly arrive as one operating event.
LiveServices, owners, dependency path, recent change, risk, and cost context are assembled.
ContextPolicy-aware agents generate a remediation plan with rollback and confidence score.
ReasonedHuman-in-the-loop approval, policy gate, and model trace are attached before action.
Controlled