Create shared accountability
Connect spend to owners, services, environments, business units, and operational context.
Product
Turn cloud cost visibility into governed savings.
Give finance, cloud engineering, and IT leaders a shared operating model for spend, waste, ownership, commitments, policy gaps, and savings workflows.
NuralAI FinOps
Spend signal to realized savings
Normalize
Ingest cost, usage, tags, accounts, services, commitments, budgets, and forecasts.
How it works
FinOps that moves from insight to accountable action.
NuralAI connects spend data to services, owners, environments, change controls, approval workflows, and executive reporting so optimization becomes operational work.Act on recommendations
Turn rightsizing, waste, commitment, and anomaly findings into approved engineering work.
Govern cost controls
Detect tag gaps, budget drift, idle resources, policy exceptions, and ownership gaps.
Report realized value
Show savings pipeline, executed savings, forecast variance, and risk in executive-ready views.
Product capabilities
Enterprise-grade depth for real finops intelligence operations.
Spend intelligence
Connect cloud cost, service ownership, business units, and operational context.
Rightsizing workflows
Route recommendations through approval and change controls before execution.
Tagging governance
Detect, assign, and enforce cost allocation policies.
Anomaly detection
Find unexpected spikes and link them to deployments, incidents, or service behavior.
Executive reporting
Summarize savings, risk, and forecast variance for leadership review.
Multi-cloud policy
Normalize optimization controls across AWS, Azure, and GCP.
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.Spend allocation
Normalize multi-cloud spend and map cost to products, teams, owners, and business units.
Waste cleanup
Detect idle resources, unattached volumes, unused services, and avoidable spend.
Rightsizing approvals
Route resizing recommendations through service-owner review, change gates, and rollback windows.
Commitment governance
Track reservation, savings plan, and commitment gaps with usage and ownership context.
Anomaly response
Connect spend spikes to deployments, incidents, traffic changes, or policy drift.
Executive savings reporting
Summarize savings, risk, team accountability, forecast variance, and realized value.
How NuralAI automates work
Spend signal to realized savings.
Every workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
FinOps Intelligence Command Center
Governed AI active
Live product workspace
Spend allocationNormalize multi-cloud spend and map cost to products, teams, owners, and business units.
Active
Waste cleanupDetect idle resources, unattached volumes, unused services, and avoidable spend.
Policy
Rightsizing approvalsRoute resizing recommendations through service-owner review, change gates, and rollback windows.
Evidence
Savings pipeline$1.2Menvironment-based ROI model
Waste reduction28%cleanup scope model
Allocation coverage95%spend mapped to owners
FinOps Intelligence 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 FinOps Intelligence. Text stays readable on desktop, tablet, and mobile.NuralAI FinOps IntelligenceLive workspace | AI context, graph intelligence, workflows, and governance
FinOps Savings Cockpit
Spend, waste, commitments, tags, and engineering workflows
Compute rightsizingBatch changes grouped by owner and change window
$740K
Commitment coverageSavings plan opportunity with scenario view
$310K
AnomalyDatabase spend spike linked to analytics regression
P1
ChargebackMissing tags resolved through owner inference
98%
AI context
Graph context and service ownership attached
Policy, approval, and rollback state visible
Approve action
Open audit trail
Savings realization forecast
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.environment-based ROI model
cleanup scope model
spend mapped to owners
savings actions linked to evidence
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
FinOps Intelligence materials for evaluation and rollout.
FinOps intelligence demo
See waste and rightsizing recommendations move through approval and execution.
OpenFinOps operating blueprint
Plan allocation, ownership, workflows, approvals, and executive reporting.
OpenCloud savings value model
Estimate waste, rightsizing, commitments, and productivity impact.
OpenGoverned cost actions
Review controls for approved savings workflows and audit evidence.
OpenFrequently asked questions
Common finops intelligence questions.
How does NuralAI turn FinOps insight into action?
NuralAI connects recommendations to owners, services, approvals, change windows, rollback state, execution, and evidence.
Can finance and engineering use the same view?
Yes. Finance gets allocation, forecast, and savings context while engineering gets service, change, risk, and remediation context.
Does NuralAI support multi-cloud FinOps?
NuralAI is designed to normalize spend, usage, tags, ownership, and optimization across cloud providers.
How are savings reported?
Savings can be tracked as opportunity, approved pipeline, executed action, realized value, and executive summary.
Powered by the NuralAI AI Platform
Connect FinOps insight, cloud ownership, engineering action, and executive reporting in one governed workflow.
Give finance, cloud engineering, and IT leaders a shared operating model for spend, waste, ownership, commitments, policy gaps, and savings workflows.
FinOps AI product surface
Savings queue, approval workflow, realized savings, and executive ROI.
NuralAI FinOps converts anomaly, waste, commitment, and rightsizing signals into owner-approved savings workflows with evidence and value reporting.
NuralAI FinOps CommandValue model updating
$2.8MOpportunity
42Owner actions
2 moPayback model
Idle GPU pool
$730KAI identifies unused capacity and routes owner approval.
RI coverage gap
$410KCommitment recommendation mapped to workload stability.
Storage tiering
$185KLow-access data moved into governed savings workflow.
- Detect savings candidates across usage, commitments, rates, and workload behavior.
- Attach owner, service, business context, risk, and approval threshold.
- Generate AI savings plan with operational impact and rollback evidence.
- Track approved action through ticket, change, and finance reporting.
- Update executive ROI model with realized and forecast value.
Product depth
Inspect savings records, approvals, payloads, and realized value.
The FinOps surface connects savings opportunities to owners, performance risk, approvals, ticketed action, and executive value reporting.
Signal detectedContext graph assembledAI recommendation generatedPolicy gate evaluatedHuman approval capturedAction executedEvidence recorded
FinOps savings recordLive operating evidence
RecordOperating signalAI recommendationStatus
FIN-274Idle GPU pool in production analytics workspaceShutdown after owner approval$730K
RI-118Commitment coverage gap on stable database workloadsApprove reserved capacity planReview
STO-602Low-access data retained in premium storage tierMove to lifecycle policy$185K
UNT-901Unit cost spike tied to unowned serviceRoute chargeback reviewGated
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