Reduce operating cost
Deflect repetitive service work, collapse manual handoffs, and automate governed remediation across ITSM, ITOM, cloud, and FinOps.
Enterprise IT evidence-backed governed autonomous action
NuralAI unifies infrastructure management, ITSM, ITOM, cloud operations, FinOps, AI agents, and governance so Enterprise IT can move from fragmented queues to governed autonomous execution.
Tickets, infrastructure alerts, cloud events, costs, changes, and chat signals enter one AI-native Enterprise IT platform.
Workflow automation benefits
Deflect repetitive service work, collapse manual handoffs, and automate governed remediation across ITSM, ITOM, cloud, and FinOps.
Give operators, service owners, and executives one AI-assisted workspace instead of forcing teams through disconnected queues.
Use reusable workflow patterns, policy controls, approvals, and rollback evidence so every action follows the same operating model.
Connect signals, topology, service ownership, spend, risk, and business impact into an end-to-end enterprise IT view.
Route low-risk changes and access requests through policy-aware approvals with human escalation when confidence or risk requires it.
Record model calls, agent reasoning, approvals, executions, exceptions, and outcomes for security, audit, and executive review.
How NuralAI automates work
Service operations queue
Graph context connects service, owner, risk, change, cost, and policy before NuralAI agents act.
Products and capabilities
Classify, enrich, route, summarize, and resolve incidents, requests, changes, knowledge gaps, and operational tasks.
ExploreCorrelate alerts, topology, dependencies, recent changes, and service health into root-cause ready incident context.
ExploreTie cloud inventory, policy drift, security posture, ownership, and remediation workflows to the same enterprise graph.
ExploreConvert savings recommendations into approved engineering work with owners, evidence, and executive reporting.
ExploreCreate a living operational graph for services, infrastructure, applications, cloud resources, owners, and business impact.
ExploreDesign AI specialists with permissions, confidence thresholds, approval gates, test evidence, and audit trails.
ExploreBusiness outcomes
reduction model in repetitive service requests
improvement model when graph context and runbooks are connected
environment-based ROI model for large multi-cloud estates
AI actions captured with approval and evidence records
Resources
Watch NuralAI move from signal intake to AI reasoning, workflow execution, and evidence capture.
OpenPlan a phased path from current ITSM and operations tools to autonomous enterprise IT.
OpenEstimate service deflection, MTTR improvement, cloud savings, and implementation payback.
OpenReview how NuralAI governs identity, model usage, approvals, execution, and evidence.
OpenPowered by the NuralAI AI platform
NuralAI helps enterprise IT modernize without forcing a rip-and-replace program. Start with high-value workflows, prove the operating model, and expand agent authority as governance confidence grows.
AI Operating Flow
Each NuralAI solution moves from signal detection to graph context, agent reasoning, risk evaluation, approval, execution, evidence, and executive reporting in one enterprise AI control plane.
Incident, request, cloud, cost, compliance, or service signal enters the AI operating layer.
IngestGraph CMDB maps service impact, owner, dependency, change, control, and business risk.
GraphPolicy-aware agents generate the next best action with confidence and guardrails.
AgentApproved action, evidence-backed automation, and value model update are recorded.
Proof