AI FinOps

Cloud & AI Cost Management

Full visibility, automated optimization, and governance across cloud and AI spend. Know whether every dollar is worth it.

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70%
avg. cost reduction
$1M+
annual savings identified
33%
savings from governance alone
Define Unit Metrics

Note: Metrics are calculated within this view “Production”. To include costs outside this scope, switch to a broader view.

1
Cost per Developer
Cost Production Costs
÷ Divided by
Metric Developer count
2
Cost per patient record processed
Cost Production Costs
÷ Divided by
Metric Patient records processed
Visibility & Allocation

Understand what's driving cloud and AI spend

Map every dollar to the team, workload, model, and AI agent behind it. Full attribution with no manual tagging required.

AI-created cost perspectives
Describe what you need in plain language. AI resolves the accounts, tags, and services and builds the view automatically.
Kubernetes cost attribution
Granular cost allocation down to individual pods and namespaces across every cluster.
Chargeback and showback with FOCUS support
Accurate internal billing reports by team and business unit, aligned to the FinOps FOCUS specification.
Optimization & Automation

Automatically reduce infrastructure waste

Harness detects idle resources, rightsizes workloads, and optimizes commitment coverage automatically. No manual intervention needed.

AutoStopping for idle workloads
Idle VMs and workloads stopped automatically and restarted on demand. Zero disruption, immediate savings.
Automated RI and Savings Plan coverage
Full Reserved Instance and Savings Plan lifecycle automated including renewals.
Kubernetes cluster rightsizing
Reduce Kubernetes costs with intelligent node autoscaling, spot orchestration, and bin packing.

Specify the split between Savings Plans and RIs

Compute Savings Plan 25% Convertible RI 75%
0% 50% 100%
Savings plan Term
1 Year
3 Years
Savings plan Payment Strategy
All upfront
Partial upfront
No upfront
RI Term
1 Year
3 Years
RI Payment Strategy
All upfront
Partial upfront
No upfront
81.7%
Compute Coverage
Savings Plans
Reserved Instances
On-demand Instances
Commitment Utilization
Savings Plans 43.1%
Reserved instances 79.4%
EBS Older than List
EC2 Unused Shut down
S3 Tagged Webhook
1 2 3 4 5 6 7 8
metrics-filters: &metrics-filter
  type: metrics
  name: DatabaseConnections
  days: 14
  value: 0
  op: equal
policies:
- name: ec2-unused-instances-shutdown
Governance & Control

Safely scale cloud and AI usage

Budgets, approval workflows, and AI-authored policy guardrails that enforce spend controls before overruns happen.

Budget alerts before limits are hit
Configurable thresholds at 50%, 75%, 90%, and 100% with AI-generated forecasts showing projected month-end spend.
Natural language policy enforcement
Describe governance intent in plain English. Harness translates it into enforced cloud rules with automatic violation remediation.
Approval workflows and audit trails
Route provisioning through approval gates and generate SOC 2-ready audit reports on demand.
AI Cost Management

Unit economics for every dollar of AI infrastructure spend

Connect directly to your AI providers and production agents. Capture spend at the individual request level and tie it to the agent, session, or workflow that triggered it.

Unified AI cost visibility
One place to see spend across every AI provider and managed service, from OpenAI and Anthropic to AWS Bedrock and GCP Vertex AI.
Full spend attribution
Cost traced to the agent, session, workflow, team, and business unit driving it.
Anomaly detection
Spend spikes flagged before they hit the invoice.
Budget & governance
Budgets set at the agent, team, or business unit level, extending existing FinOps controls to AI spend.
Group by: AI Provider
09/14 – 10/12/2025
Daily
Total Cost (30 d) $1,024,072 net-amor.
Cost per Token $47.83 Daily avg.
Cost per Inference $58.77 Daily avg.
Cost per Session $117.56 Daily avg.
Cost and Unit Cost Trend
Anthropic
OpenAI
Amazon Bedrock
Google Vertex
Cost per Token
Cost per Inference
Cost per Session
Full platform capabilities

From visibility to governance, fully covered

Every capability you need to understand, optimize, and govern cloud and AI spend, in a single platform.

AI Cost Management
Harness AI surfaces anomalies, answers spend questions in plain language, and generates forecasts across your cloud and AI workloads in real time.
Cost allocation & visibility
Map every dollar to teams, workloads, models, and products. Full attribution with chargeback and showback reporting across AWS, Azure, and GCP.
Optimization & automation
Detect idle resources, rightsize workloads, and close commitment coverage gaps automatically. Measurable savings without manual intervention.
AutoStopping
Intelligently stop idle non-production workloads and restart them on demand. Eliminate waste from dev, staging, and test environments around the clock.
Commitment Orchestrator
Automate Reserved Instance and Savings Plan purchases, renewals, and coverage optimization across every cloud provider. Maximize discounts, minimize risk.
Cost governance
Set budget guardrails, approval workflows, and spend policies across cloud and AI. Route requests through finance gates with full audit trails for compliance.
Cluster Orchestrator
Right-size Kubernetes clusters with intelligent node autoscaling and spot instance orchestration. Automatically bin-pack workloads and eliminate over-provisioned compute.
BUILT FOR EVERY ROLE

Every team has a cost problem we help solve

FinOps Practitioner
Platform Engineer
Finance Director
FinOps Practitioner

Turn cloud and AI cost data into action

Get full visibility into cloud and AI spend, catch anomalies before they hit budgets, and drive optimization across every team, workload, and model.

Anomaly detection across cloud, LLM, and GPU workloads
Chargeback and showback by team, model, and product
Savings recommendations with one-click actions
Anomaly Feed
3 new
ml-inference-gpu Spike +$12.4k/mo
gpt-proxy-prod Threshold +$3.1k/mo
embedding-batch Trending +$0.8k/mo
Detected in real time $16.3k/mo at risk 1-click investigate
Platform Engineer

Build infrastructure that pays for itself

Rightsize GPU clusters and cloud infrastructure, eliminate idle compute, and automate commitment coverage across every cloud provider.

Rightsizing and node optimization across all clusters
AutoStopping rules for dev, test, and staging environments
Commitment coverage analysis with risk-adjusted purchase recommendations
Optimization Actions
4 active
ml-inference-gpu-a100 AutoStop $4.2k/mo
embedding-service Rightsize $1.8k/mo
vector-db-replicas ×3 Consolidate $2.1k/mo
k8s-node-pool-dev Node Opt. $0.3k/mo
$8.4k/mo recoverable Applied automatically Zero downtime
Finance Director

Finally, a budget you can trust

Get accurate 30, 60, and 90-day forecasts, enforce spend policies, and give every business unit a clear view of their cloud and AI costs.

Budget guardrails and approval workflows
30, 60, and 90-day spend forecasting across cloud and AI
Commitment coverage analysis with risk-adjusted purchase recommendations
Budget Forecast
30 Days
Spent to date $67.4k of $80k budget
On current path $94.3k ▲ 40% over budget
With governance $71.2k ✓ Within budget
Pending approvals $14.6k 2 requests
AI forecast Policy guardrails Auto-alerts at 75%
Customer Success

Real savings. Real companies

70% avg. cost reduction
“We connected our cloud accounts and within weeks saw exactly where we were overspending. The savings were immediate and measurable.”
Head of FinOps
VP of Engineering
Synopsys
$1M+ annual savings
“Right away $15K–$20K/month, then $100K/month in six months. Harness CACM found waste we didn't even know we had.”
Head of FinOps
VP of Engineering
Synopsys
33% governance savings
“Cloud Asset Governance found savings in areas we thought were already optimized. The policy enforcement alone paid for itself.”
Head of FinOps
VP of Engineering
Synopsys
Competitive analysis

See how Cloud & AI Cost Management stacks up

Capability-by-capability analysis across the platforms your organization is most likely evaluating.

Harness CACM only
IaC cost estimation at plan time

No other FinOps tool connects cost analysis directly to Terraform plan output. Cost visibility before infrastructure is provisioned, not after the bill arrives.

Harness CACM only
Automated idle resource stopping

AutoStopping detects idle VMs and Kubernetes workloads and stops them automatically, restarting on demand. No other enterprise FinOps platform does this natively across both VMs and K8s.

Rare capability
Automated RI / SP contract execution

Most tools stop at recommendations. Harness executes the full Reserved Instance and Savings Plan lifecycle automatically, including renewals and coverage gap remediation.

Differentiator
Conversational AI FinOps

While some competitors offer general-purpose AI assistants, Harness AI is purpose-built for cloud cost, natural language queries, policy generation, and anomaly root cause in one interface.

Select a competitor to compare

Select a competitor above to compare
INTEGRATIONS

Works with every major cloud and FinOps tool

Native support for AWS, Azure, GCP, and Kubernetes, plus integrations with Jira, ServiceNow, Slack, Datadog, and the DevSecOps tools your team already uses.

AWS
Azure
GCP
Kubernetes
Slack
Jira
ServiceNow
Anthropic
OpenAI
AWS Bedrock
Vertex AI
Gemini
FinOps FOCUS
Terraform

Frequently Asked Questions

What is the difference between FinOps and Cloud & AI Cost Management (CACM)?

FinOps is a cultural practice and methodology that brings together finance, engineering, and business teams to collaborate on cloud financial management decisions. It's the “how” of managing cloud costs through people, processes, and technology. Cloud & AI Cost Management (CACM) refers to the specific tools, platforms, and technologies used to monitor, analyze, and optimize cloud spending. It's the “what”: the actual tooling and capabilities.

Harness CACM provides the platform and tools to enable your FinOps practice across three key phases:

  • Inform: visibility and allocation
  • Optimize: recommendations and automation
  • Operate: governance and continuous improvement

How does Harness CACM support FinOps practices across different teams?

  • For Finance Teams:
    • Cost categories, chargeback/showback capabilities
    • Budgeting and forecasting
    • Executive-level reporting dashboards
  • For Engineering Teams:
    • Native integration with CI/CD pipelines
    • Real-time cost impact analysis
    • Automated optimization recommendations
    • Developer-friendly dashboards
  • For Business Teams:
    • Business mapping, cost perspectives by product/project
    • Custom reporting aligned with business metrics

Does Harness CACM support the FinOps FOCUS format?

Yes, Harness CACM supports FOCUS (FinOps Open Cost and Usage Specification) for standardized cost reporting and external data ingestion.

What makes Harness CACM different from other cloud & AI cost management tools?

  • Connected to the rest of Harness
  • Harness CACM runs alongside CI/CD, security, and feature flags on the same platform. Cost data lives where engineering decisions are made.
  • AI intelligence
  • Advanced ML algorithms for anomaly detection, intelligent recommendations, and a FinOps AI assistant that provides actionable insights.
  • Proactive vs. reactive
  • Built-in automation and policy enforcement prevent cost overruns rather than just reporting on them after the fact.

How do I get started with FinOps using Harness CACM?

  • Phase 1: Inform
    • Set up cost visibility with Perspectives
    • Implement Cost Categories for proper allocation
    • Establish chargeback/showback processes
  • Phase 2: Optimize
    • Enable AutoStopping for idle resources
    • Implement Commitment Orchestrator for RI/SP management
    • Leverage intelligent recommendations
  • Phase 3: Operate
    • Establish governance policies
    • Set up continuous monitoring and alerts
    • Implement automated optimization workflows

Start with our FinOps Maturity Assessment to understand where you are in your journey.

Can Harness CACM handle multi-cloud environments?

Yes, Harness CACM covers AWS, Azure, and Google Cloud Platform with:

  • Cost visibility across all cloud providers in one view
  • Cloud-specific optimization recommendations
  • Cross-cloud resource management and governance
  • Kubernetes-native support for container workloads across clouds

How does Harness CACM help with Kubernetes cost management?

Harness CACM offers advanced Kubernetes cost management through:

  • Cluster Orchestrator: Intelligent node autoscaling with spot orchestration and bin packing
  • Workload-level visibility: Granular cost allocation down to individual pods and namespaces
  • Right-sizing recommendations: AI-driven suggestions for CPU and memory optimization
  • Multi-cluster management: Centralized governance across multiple Kubernetes environments

What is the typical ROI and time-to-value with Harness CACM?

Most customers see significant cost savings within 30 days through:

  • Immediate visibility into waste and optimization opportunities
  • AutoStopping reducing costs by 70% or more on non-production workloads
  • Automated commitment management improving coverage and utilization
  • Policy-based governance preventing future cost overruns

Running everything on one platform also removes the overhead of managing separate tools for each function.

How does Harness CACM support compliance and governance?

Harness CACM provides governance through:

  • Policy-as-Code: Define and enforce cost policies using Open Policy Agent (OPA)
  • Asset Governance: 150+ out-of-the-box rules plus custom policy creation
  • Role-Based Access Control: Granular permissions and multi-tenancy support
  • Audit Trails: Complete visibility into who changed what and when
  • Budget Controls: Automated alerts and enforcement actions

Can I integrate Harness CACM with my existing tools and workflows?

Yes, Harness CACM offers extensive integration capabilities:

  • ITSM Integration: Slack, Jira, ServiceNow for automated workflow management
  • Monitoring Tools: Integration with Datadog, New Relic, Prometheus for enhanced visibility
  • CI/CD Pipelines: Native integration with deployment workflows for cost-aware releases
  • APIs: REST APIs for custom integrations and data export
  • FOCUS Adoption: Support for FinOps Open Cost and Usage Specification
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Cloud Cost Management