Approval gates by risk
Set which workflows can be automated, which require human approval, and which need security or change review.
DiscussAdmin governance
Govern AI action with enterprise controls.
NuralAI gives platform owners a governance model for policies, role-based access, approval workflows, audit trails, rollback evidence, risk tiers, and executive reporting.
Enterprise review
Designed for executive, security, and architecture evaluation.
NuralAI avoids unverified public performance claims and gives buyers concrete materials for security review, deployment planning, integration mapping, ROI modeling, and governance approval.Audit trails and rollback proof
Keep model context, approval history, execution records, exceptions, and rollback plans attached to sensitive actions.
DiscussExecutive governance reporting
Track service reliability, automation, risk, savings, and action evidence in an operating scorecard for leaders.
DiscussEnterprise-ready review path
Bring NuralAI into security, architecture, and executive approval with evidence.
Start with one governed workflow, validate the baseline, inspect controls, map integrations, confirm deployment requirements, and turn the result into a board-ready value case.
Platform AI Control Plane
The platform exposes how NuralAI senses, reasons, governs, acts, and proves.
NuralAI combines data ingestion, graph context, agent reasoning, policy engine, approval gates, execution connectors, audit/model trace, security boundaries, and deployment controls.
NuralAI AI RuntimeModel trace active
Tickets, alerts, telemetry, cloud events, IAM, cost, changes, and knowledge are normalized.
DataAgents use graph-grounded recommendations instead of isolated prompt responses.
AgentPolicy gates, approval thresholds, identity scope, and rollback plans control action.
PolicyEvery prompt, model result, human approval, connector call, and outcome is auditable.
Trace