Service catalog intake
Capture structured requests, user context, entitlement rules, business justification, approvals, and fulfillment paths.
Request management
Request management and service catalog automation for Enterprise IT.
NuralAI helps IT teams automate employee requests across access, software, devices, cloud resources, knowledge, approvals, and fulfillment while keeping sensitive actions governed.
NuralAI AI operating layer
ITSMITILITOMCloudAIGovernance
Service workflow, infrastructure context, cloud state, policy, approvals, and audit evidence connected in one platform.
Overview
Purpose-built for the way Enterprise IT actually operates.
NuralAI connects service records, operational signals, infrastructure dependencies, cloud context, and governance controls so teams can move from ticket or alert to approved action.AI request classification
Classify requests from portal, chat, Slack, Teams, email, and existing ITSM tools with confidence and escalation controls.
Governed fulfillment
Execute approved runbooks for access, software, device, cloud resource, and information requests while preserving an audit trail.
Employee self-service
Give employees faster answers and request resolution without fragmenting service ownership or compliance evidence.
Workflow
From signal to governed action.
Each workflow is designed to preserve human control, policy boundaries, evidence, and rollback context where it matters.Intake
Collect request type, employee context, service ownership, approvals, and policy requirements.
Decide
Check entitlement, risk, inventory, knowledge, prior requests, and fulfillment options.
Fulfill
Route to human teams or execute governed runbooks through connected systems.
Measure
Track deflection, fulfillment time, reopen rate, SLA exposure, and automation quality.
FAQ
Common Request Management questions.
What kinds of requests can NuralAI automate?
Common starting points include access, password, software, device, cloud resource, knowledge, how-to, onboarding, and service-owner requests.
Can NuralAI enforce approvals?
Yes. Approval gates, confidence thresholds, policy checks, connector scope, and audit evidence are built into governed request fulfillment.
Does request management connect to ITSM?
Yes. NuralAI can work as an AI-native service workflow layer and connect with existing ITSM tools during rollout.
NuralAI Inc
Build a practical roadmap for request management.
Start with a specific workflow, prove value with real service and infrastructure data, then expand automation where governance and outcomes are clear.AI Operating Flow
Solutions are shown as governed AI work, not static feature lists.
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.
Solution AI FlowModel trace active
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