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.

Cost per Developer

Cost Production Costs

÷ Divided by

Metric Developer count

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.

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

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

Harness CACM

13 / 13

/ 13

Visibility & Allocation

Kubernetes cost allocation

✓ Yes

✓ Yes ~ Partial — No

Chargeback / Showback reporting

✓ Yes

✓ Yes ~ Partial — No

FOCUS specification support

✓ Yes

✓ Yes ~ Partial — No

Optimization & Automation

Automated idle resource stopping

✓ Yes

✓ Yes ~ Partial — No

RI / SP automated contract execution

✓ Yes

✓ Yes ~ Partial — No

Spot instance orchestration

✓ Yes

✓ Yes ~ Partial — No

Kubernetes node-pool right-sizing

✓ Yes

✓ Yes ~ Partial — No

Governance & Compliance

Auto-remediation

✓ Yes

✓ Yes ~ Partial — No

AI-assisted policy creation

✓ Yes

✓ Yes ~ Partial — No

Anomaly detection

✓ Yes

✓ Yes ~ Partial — No

Platform Integration

Native CI/CD pipeline integration

✓ Yes

✓ Yes ~ Partial — No

Conversational AI assistant

✓ Yes

✓ Yes ~ Partial — No

FinOps Foundation Certified

✓ Yes

✓ Yes ~ Partial — No

✓ Full support

~ Partial support

— Not available

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