ITIL-aligned operating model
Map incidents, requests, changes, problems, known errors, knowledge, SLAs, owners, and approvals into one workflow fabric.
ITSM and ITIL workflows
NuralAI gives service, operations, cloud, and infrastructure teams one governed platform for ITIL-aligned incident management, change enablement, request fulfillment, problem management, knowledge, service ownership, and audit-ready AI action.
Service workflow, infrastructure context, cloud state, policy, approvals, and audit evidence connected in one platform.
Overview
Map incidents, requests, changes, problems, known errors, knowledge, SLAs, owners, and approvals into one workflow fabric.
Use governed agents to classify work, enrich tickets, recommend runbooks, request approval, execute safe actions, and capture evidence.
Connect service records with AWS, Azure, GCP, Kubernetes, network, compute, storage, identity, telemetry, and dependency data.
Coexist with current ITSM tools while proving high-value workflows before broader migration or consolidation.
Workflow
Model services, owners, support groups, risk policies, approval gates, SLAs, and change windows.
Ingest ticket history, service catalog items, observability signals, cloud resources, graph CMDB context, and runbooks.
Route incidents, requests, changes, and problems through AI recommendations, human approval, rollback state, and audit evidence.
Convert resolved work into knowledge, automation candidates, problem records, reliability actions, and executive reporting.
FAQ
NuralAI is designed for ITIL-aligned ITSM workflows including incident management, request fulfillment, change enablement, problem management, knowledge, service ownership, SLAs, approvals, and continual improvement.
Yes. Teams can connect NuralAI to existing ITSM tools such as ServiceNow during coexistence, migration, or workflow-specific automation programs.
NuralAI combines service workflow, live infrastructure and cloud context, AI reasoning, governed execution, and audit evidence in one operating model.
NuralAI Inc
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