Scale without linear headcount
Use AI triage and governed automation to handle more clients and signals without adding manual toil.
MSP evidence-backed governed autonomous action
Operate every client environment from one governed AI control plane.
NuralAI helps managed service providers scale high-touch operations with tenant-aware visibility, AI triage, governed automation, SLA reporting, and client-ready evidence.
NuralAI MSP fabric
Tenant signal to outcome
Monitor
Ingest incidents, alerts, requests, cloud signals, cost events, and compliance findings across clients.
Workflow automation benefits
Give teams one governed way to move from signals to outcomes.
NuralAI connects people, systems, policies, AI agents, and evidence through a shared operating layer built for enterprise-scale operations.Protect tenant boundaries
Keep client context, policies, approvals, integrations, and reporting separated while sharing one operating model.
Standardize delivery
Apply consistent incident, change, cloud, FinOps, and compliance workflows across customer environments.
Improve SLA visibility
Track client commitments, risk, escalation, and remediation progress from one command center.
Automate client reporting
Create executive-ready summaries with service health, automation value, savings, and evidence.
Connect existing tools
Integrate customer ITSM, observability, cloud, identity, collaboration, and security tools without rip-and-replace.
How NuralAI automates work
Sense context, decide the right action, act across systems, and govern every step.
Each workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
MSP Operations Command Center
Governed AI active
Tenant operations queue
Client A payment incidentSLA risk detected; runbook requires service-owner approval
P1
Client B cloud wasteIdle resources mapped to business unit and savings workflow
Savings
Client C control driftEvidence package opened and remediation owner assigned
Audit
SLA health98%protected
Triage95%matched
Evidence100%client-ready
NuralAI maps every tenant signal to contract, service, owner, SLA, policy, automation, and client-facing evidence before action.
Products and capabilities
Connect every workflow on the NuralAI AI platform.
Tenant-aware workspaces
Operate multiple customer environments with separated context, access, workflows, and reporting.
ExploreAI triage
Classify, deduplicate, prioritize, and route client signals with graph and SLA context.
ExploreRunbook automation
Execute approved remediation across customer tools with rollback and audit trails.
ExploreSLA governance
Connect incident, request, change, cloud, and compliance work to contract commitments.
ExploreClient reporting
Package service health, automation value, savings, risk, and evidence into executive updates.
ExploreIntegration fabric
Connect ITSM, observability, cloud, security, collaboration, and identity tools across clients.
ExploreBusiness outcomes
Build a business case executives can inspect.
Use NuralAI to connect automation programs to measurable service, operations, cost, risk, and governance outcomes. Validate final projections with your real environment data during discovery.routine client work automated
faster signal-to-owner workflow
service delivery leverage model
tenant actions captured for review
Resources
Managed Service Providers materials for evaluation and rollout.
MSP multi-tenant operations demo
See tenant-aware triage, automation, SLA tracking, and client reporting.
OpenManaged services automation blueprint
Design the operating model for AI-assisted service delivery.
OpenMSP scale and margin model
Estimate deflection, utilization, SLA, and reporting value.
OpenTenant governance controls
Review access, approval, and audit patterns for client environments.
OpenPowered by the NuralAI AI platform
One platform for AI, graph context, workflows, integrations, and governance.
Scale managed services with AI-native operations while keeping every client workflow governed, auditable, and outcome-focused.
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