AI and Cloud Costs
Cost management for every dollar and every model
Harness Cost Management Agent gives you full visibility, optimization, and governance to every dollar of cloud and AI spend.
Measure ROI from your AI and cloud spend
Take AssessmentSee, attribute, and govern every dollar of cloud and AI spend
AI and Cloud Costs bridges the visibility gap with full cost attribution, automated optimization, and governance across your entire infrastructure portfolio cloud and AI together.
Understand what's driving cloud and AI spend
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.
Automatically reduce infrastructure waste
AutoStopping for idle workloads. Idle VMs and containers stopped automatically and restarted on demand. Zero disruption, immediate savings.
Automated RI and Savings Plan coverage. Full Reserved Instance and Savings Plan lifecycle automated across every cloud provider, including renewals.
Kubernetes cluster rightsizing. Reduce Kubernetes costs with intelligent node autoscaling, spot orchestration, and bin packing.
Cost Management Agent: safely scale cloud and AI usage
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.
Unit economics for every dollar of AI and token spend
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.
Tokenomics & token governance. Understand cost-per-token across models and providers. Set token budgets, track consumption by team or workflow, and optimize toward outcomes — not just usage.
From visibility to governance, fully covered
Every capability you need to understand, optimize, and govern cloud and AI cost in a single platform.
AI Cost Management
Cost Management Agent surfaces anomalies, answers spend questions in plain language, and generates forecasts across your cloud and AI workloads in real time.
Tokenomics
Track and optimize AI token consumption across models, providers, and teams. Understand unit economics, enforce governance, and turn token spend into measurable business outcomes.
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.
Commitment Orchestrator
Automate Reserved Instance and Savings Plan purchases, renewals, and coverage optimization across every cloud provider. Maximize discounts, minimize risk.
AutoStopping
Intelligently stop idle non-production workloads and restart them on demand. Eliminate waste from dev, staging, and test environments around the clock.
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.
Agent DLC Support
Extend cost visibility to agents, see token and inference spend by agent, model, and team, and set limits.
Every team has a cost problem we help solve
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
See how AI and Cloud Costs stacks up
Capability-by-capability analysis across the platforms your organization is most likely evaluating.
No other FinOps tool connects cost analysis directly to Terraform plan output. Cost visibility before infrastructure is provisioned, not after the bill arrives.
1 of 22 competitors offer this (Infracost, estimation only, no runtime optimization)
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.
0 of 22 competitors offer full VM + K8s automation (CloudFix partial, AWS idle only)
Most tools stop at recommendations. Harness executes the full Reserved Instance and Savings Plan lifecycle automatically, including renewals and coverage gap remediation.
2 of 22 competitors offer this (FlexeraOne, Zesty)
While some competitors offer general-purpose AI assistants, Cost Management Agent is purpose-built for cloud cost, natural language queries, policy generation, and anomaly root cause in one interface.
2 of 22 competitors offer this (IBM Apptio, CoreStack, neither cost-specific)
Select a competitor to compare
Real companies. Real savings.
“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
“Right away $15K–$20K/month, then $100K/month in six months. Harness CACM found waste we didn't even know we had.”
— Cloud Infrastructure Lead, Director of Cloud Engineering, Tyler Technologies
“Cloud Asset Governance found savings in areas we thought were already optimized. The policy enforcement alone paid for itself.”
— Platform Engineering Lead, VP of Platform, OneAdvanced
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.
Frequently asked questions
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. AI and Cloud Costs 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
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
Yes, Harness CACM supports FOCUS (FinOps Open Cost and Usage Specification) for standardized cost reporting and external data ingestion.
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.
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.
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
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
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.
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
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
Harness extends the same cost visibility, attribution, and governance you rely on for cloud spend to AI agents at every stage of the agent development lifecycle, so agent costs are managed like the rest of your cloud spend:
- Track token and inference spend by agent, model, and provider across OpenAI, Anthropic, AWS Bedrock, and Google Cloud Vertex AI
- Attribute every dollar to the agent, session, and workflow that drove it, then roll it up to teams and business units
- Set budgets and hard spend limits by agent, team, or business unit using your existing FinOps guardrails
- Benchmark cost-per-outcome across models to keep agents efficient as they scale in production
Harness captures spend across major AI providers and managed services, including OpenAI, Anthropic, AWS Bedrock, and Google Cloud Vertex AI, down to the individual token, request, and workflow, so you can compare cost-per-outcome across models and teams.
Get started with Harness Cloud Cost Management
Connect your cloud accounts in minutes. See immediate savings opportunities. Most customers see first savings within 30 days.