Move beyond dashboards
Turn cloud cost findings into approved engineering workflows instead of static recommendations.
Cloud cost evidence-backed governed autonomous action
Turn cloud waste into approved savings action.
NuralAI connects spend signals, ownership, policy, service context, and remediation workflows so FinOps teams can move from recommendations to governed execution.
NuralAI FinOps fabric
Waste to savings
Detect
Find idle resources, rightsizing opportunities, anomalies, tagging gaps, and commitment risks.
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.Attach clear ownership
Use NuralAI graph context to map spend to services, teams, products, and business units.
Reduce cloud waste safely
Apply policy, approval, and change controls before resizing, stopping, deleting, or purchasing commitments.
Protect reliability
Check service criticality, utilization, dependency, and blackout windows before cost actions run.
Prove savings
Track forecasted, approved, executed, and realized savings with evidence for finance and executives.
Unify FinOps and IT Ops
Connect cloud cost, operational health, incidents, changes, and service ownership in one workflow model.
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.
Cloud Cost Optimization Command Center
Governed AI active
Savings action queue
Idle GPU clusterOwner identified; stop schedule awaiting policy approval
Savings
Oversized database tierRightsizing plan linked to change window and rollback
Approve
Commitment anomalySpend drift detected across product unit forecast
Review
Modeled savings$2.3Mannual
Approval cycle60%faster
Evidence100%tracked
NuralAI links cloud spend to service criticality, ownership, policy, change windows, and remediation evidence before savings action is taken.
Products and capabilities
Connect every workflow on the NuralAI AI platform.
Spend intelligence
Normalize cost, usage, inventory, tags, commitments, anomalies, and budget signals across clouds.
ExploreOwnership graph
Connect waste to applications, services, teams, business units, environments, and executive owners.
ExploreRightsizing workflows
Route recommendations through engineering approval, change gates, schedules, and rollback plans.
ExploreCommitment governance
Detect commitment gaps, utilization risk, and purchase opportunities with accountable review.
ExplorePolicy-aware remediation
Automate low-risk actions while escalating production, critical, or policy-sensitive changes.
ExploreExecutive reporting
Show savings pipeline, realized value, team accountability, and operating risk in one view.
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.environment-based ROI model for large multi-cloud estates
reduction model through governed actions
faster owner and policy review
actions linked to evidence and outcomes
Resources
Cloud Cost Optimization materials for evaluation and rollout.
FinOps action workflow demo
See savings move from detection to approval, remediation, and reporting.
OpenCloud savings operating model
Plan the owner, approval, and remediation model for cost optimization.
OpenCloud cost savings model
Estimate waste, rightsizing, commitment, and productivity impact.
OpenGovernance for cloud actions
Review policy controls for production-safe remediation.
OpenPowered by the NuralAI AI platform
One platform for AI, graph context, workflows, integrations, and governance.
Give FinOps, cloud engineering, service owners, and executives one governed path from cloud waste detection to realized savings.
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