Prevent ticket growth
Deflect routine issues with governed self-service, knowledge grounding, and AI-assisted fulfillment.
Product
ITSM, ITIL, incident, change, request, and problem management for infrastructure and cloud operations.
Unify ITIL-aligned incident management, request management, change management, problem management, knowledge, SLAs, infrastructure context, cloud signals, service ownership, and governed AI action on one Enterprise IT platform.
NuralAI ITSM
Request to governed resolution
Intake
Capture incidents, requests, changes, employee issues, and service signals from every channel.
How it works
Service workflows built for infrastructure and cloud remediation.
NuralAI connects tickets, alerts, infrastructure topology, cloud resources, service ownership, policies, runbooks, and approvals so service teams can move from queue work to governed resolution.Accelerate resolution
Give responders probable cause, service context, runbook recommendations, and next-best actions in one view.
Govern every action
Use policy gates, confidence thresholds, approvals, rollback state, and evidence capture for sensitive actions.
Improve continuously
Convert resolved incidents into knowledge, problem candidates, automation candidates, and executive metrics.
Product capabilities
Enterprise-grade depth for real it service management operations.
Autonomous triage
Classify, enrich, route, and prioritize service issues with full reasoning and escalation controls.
Zero-touch resolution
Execute approved runbooks for common incidents, requests, and access issues.
Change risk intelligence
Score blast radius across the graph CMDB before standard and emergency changes are approved.
Knowledge RAG
Ground every recommendation in runbooks, knowledge articles, and prior incident history.
Service portal
Give employees a governed self-service experience across web, Slack, Teams, email, and mobile.
Audit-ready operations
Record every AI decision, human approval, workflow action, and rollback.
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.Incident resolution
Triage, enrich, route, and resolve incidents with graph context and governed runbooks.
Request fulfillment
Automate password, access, software, device, and how-to requests with approvals and audit trail.
Change risk management
Score blast radius, dependency impact, approval readiness, and rollback coverage before change execution.
Knowledge automation
Ground answers in approved knowledge, runbooks, historical incidents, and current service state.
SLA governance
Prioritize by customer, employee, service, SLA exposure, and business impact instead of queue age alone.
Employee self-service
Serve employees across portal, chat, Slack, Teams, email, and mobile with consistent governance.
How NuralAI automates work
Request to governed resolution.
Every workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
IT Service Management Command Center
Governed AI active
Live product workspace
Incident resolutionTriage, enrich, route, and resolve incidents with graph context and governed runbooks.
Active
Request fulfillmentAutomate password, access, software, device, and how-to requests with approvals and audit trail.
Policy
Change risk managementScore blast radius, dependency impact, approval readiness, and rollback coverage before change execution.
Evidence
Resolution speed40%MTTR reduction model
Ticket deflection35%request automation model
Audit coverage100%AI actions linked to evidence
IT Service 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 AI-Native IT Service Management. Text stays readable on desktop, tablet, and mobile.NuralAI IT Service ManagementLive workspace | AI context, graph intelligence, workflows, and governance
Service Operations Workspace
One queue for incidents, requests, changes, knowledge, and SLA risk
P2 payment incidentRouted with graph context
96%
Password reset requestZero-touch runbook ready
Auto
Emergency changeBlast radius and approval gate attached
Gate
Knowledge gapArticle drafted from resolved incident
Draft
AI context
Graph context and service ownership attached
Policy, approval, and rollback state visible
Approve action
Open audit trail
Ticket deflection trend
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.MTTR reduction model
request automation model
AI actions linked to evidence
increase model in surfaced answers
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 Service Management materials for evaluation and rollout.
ITSM command center demo
See incident, request, change, knowledge, and SLA workflows in one governed service workspace.
OpenAI-native ITSM blueprint
Plan service intake, runbooks, approvals, knowledge, and escalation controls.
OpenITSM value model
Estimate deflection, MTTR, backlog, and service productivity impact.
OpenGoverned AI service actions
Review policy, approval, evidence, and audit controls for service automation.
OpenFrequently asked questions
Common ITSM, ITIL, and service management questions.
How is NuralAI ITSM different from a ticket queue?
NuralAI connects tickets to graph context, AI reasoning, evidence-backed governed autonomous action, approvals, and evidence so teams can resolve work instead of only managing records.
Can NuralAI ITSM work with existing tools?
Yes. NuralAI can connect ITSM, identity, observability, collaboration, cloud, and knowledge systems while preserving a shared operating model.
How are autonomous service actions controlled?
Actions can require confidence thresholds, policy checks, owner approval, change gates, rollback plans, and complete audit evidence.
Where should ITSM teams start?
Common starts include incident triage, request fulfillment, change risk scoring, knowledge automation, and SLA-prioritized work queues.
Powered by the NuralAI AI Platform
Modernize service management with AI, graph context, workflows, and governance built into every request.
Unify ITIL-aligned incident management, request management, change management, problem management, knowledge, SLAs, infrastructure context, cloud signals, service ownership, and governed AI action on one Enterprise IT platform.
ITSM AI product surface
AI triage, SLA risk, knowledge, and change approval in one service command view.
NuralAI ITSM shows AI doing the work: classify incidents, detect SLA exposure, recommend resolution, draft knowledge, route approvals, and record evidence for every governed service action.
NuralAI ITSM CommandSLA risk model active
P1Service impact
12SLA risks
98%Owner match
Payments incident
P1AI triage links checkout latency to database saturation.
SLA breach risk
SLACustomer-impacting tickets prioritized by service importance.
Change approval
GateEmergency fix requires owner approval and rollback evidence.
- Classify ticket with historical incidents and knowledge matches.
- Assemble graph context across service, dependency, owner, and recent change.
- Generate remediation plan with rollback and customer-impact evidence.
- Route production fix through change approval and audit trail.
- Update knowledge article after resolution evidence is captured.
Product depth
Inspect service records, approval chains, and audit evidence.
The ITSM surface now shows realistic tickets, SLA risk, knowledge recommendations, approval metadata, connector payloads, and evidence timelines.
Signal detectedContext graph assembledAI recommendation generatedPolicy gate evaluatedHuman approval capturedAction executedEvidence recorded
ITSM service action recordLive operating evidence
RecordOperating signalAI recommendationStatus
INC-10482Checkout latency correlated with database pool saturationRun guarded connection-pool remediationApproval
CHG-44321Emergency change window requested for payments APIAttach blast radius and rollback validationGated
KBA-2280Repeated incident pattern found in resolved ticketsDraft knowledge article from evidenceDraft
SLA-091Customer-impacting queue approaching breachEscalate owner and reprioritizeDone
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