Replace spreadsheets, ad-hoc scripts, and siloed dashboards with a single, AI-powered cloud cost optimization platform for AWS, Azure, GCP, and Kubernetes. See, understand, prevent, find, and fix cloud waste automatically.
Integrates with your existing stack
Every dollar, every team, every service — real-time visibility in one unified dashboard.
These aren't our numbers. These are industry benchmarks from Gartner, Flexera, and HashiCorp.
If any of these describe your team, FinOps Co-Pilot was built for you.
Monthly invoices arrive weeks after overspend has already happened. No real-time visibility into what engineering is spending.
Result: Budget overruns go undetected for 2–4 weeks.
Cloud consoles, spreadsheets, and homegrown scripts — no single source of truth. Teams operate in silos with conflicting data.
Result: 3-5 hours/week wasted reconciling cost data.
Infrastructure ships to production without any cost review. Expensive resources (GPUs, dedicated hosts) get deployed and forgotten.
Result: $3K+ monthly surprises that could have been prevented.
Inconsistent reports that can't answer "why did spend increase?" or "what should we do?" No attribution to teams, PRs, or deployments.
Result: Board meetings with guesswork instead of data.
Teams wait for monthly bills to identify waste. By then, hundreds or thousands of dollars have already been burned on idle resources.
Result: Average $900/month in preventable waste per team.
CloudHealth costs $4K+/mo. Infracost only covers Terraform. Kubecost only covers K8s. No single tool does it all.
Result: $12K+/year on fragmented FinOps tooling.
The onboarding checklist walks teams from first login to live findings, PR review, and ChatOps approvals in about 15 minutes.
Start in your FinOps Co-Pilot instance and create the workspace your team will use for cloud cost operations.
Add AWS, Azure, or GCP using the provider-native trust model. AWS uses IAM AssumeRole; Azure and GCP credentials are stored encrypted.
Validate connectivity, freshness, and trust so you know exactly which accounts are healthy before relying on cost data.
Explore the platform immediately with demo data, or begin ingesting real spend and usage data from your connected providers.
See PR Cost Diff in action by reviewing Terraform changes before merge, with cost delta, policy, and budget signals in one place.
Launch a live scan to surface idle infrastructure, unattached storage, rightsizing opportunities, and high-confidence savings.
Establish advisory and blocking guardrails for tags, risky resource types, budget limits, and environment-specific cost rules.
Route approvals into Slack or Teams so engineering and finance reviewers can act on savings requests without leaving their existing workflow.
Apex turns natural language into real-time cost intelligence. No query language. No dashboard hunting. Just answers.
What are my top 5 cost drivers this week?
Your top 5 cost drivers: 1. RDS Multi-AZ ($4,230 ↑12%) 2. EC2 On-Demand ($3,891 ↑8%) 3. S3 Deep Archive ($1,220 →) 4. Lambda Functions ($987 ↓3%) 5. NAT Gateway ($654 ↑22%). Total: $10,982 — up 12% from last week. NAT Gateway shows the highest growth rate.
From platform engineers to finance teams — FinOps Co-Pilot solves real problems for engineering, operations, and compliance stakeholders.
No way to check cost impact before deploying
PR Cost Diff catches expensive infra before production
Prevented a $3.2K/month GPU instance in staging
11 operational capabilities covering visibility, intelligence, governance, and automation. Each one is a product in itself — together, they're unbeatable.
Consolidated spend across AWS, Azure, GCP, and Kubernetes — updated automatically. See every dollar, every team, every service.
Ask questions in plain English. Get instant answers backed by real cost data. Guided AI workflows cover queries, triage, and approval-gated actions.
Catch cost surprises before they reach production, directly in GitHub PRs. Policy evaluation and budget impact analysis.
18+ automated detectors find structural savings. Every finding includes savings estimate, confidence score, effort, and priority rank.
Approval-gated automation that fixes waste across AWS, Azure, and GCP. Protected tags ensure critical resources are never touched.
Model Savings Plans and Reserved Instance strategies with projected savings, break-even time, approvals, and execution workflows.
Prophet + ARIMA models compete — best model wins automatically. Budget breach probability with confidence intervals.
Advisory or blocking policies enforced at PR, deploy, and runtime. Tag requirements, budget guardrails, and risk thresholds.
Approve remediation and commitment requests from Slack or Teams with role verification and signed webhook protection.
Track account trust, ingestion freshness, reconciliation coverage, and detector posture in one operational command view.
Map cluster costs to namespaces, deployments, and teams with rightsizing recommendations and idle workload detection.
FinOps Co-Pilot covers the entire cost management lifecycle — replacing 3–4 disconnected tools with one platform.
Set budgets, policies, and governance rules before anything ships
Budget guardrails, tag requirements, cost policies
See all cloud spend in real-time across every account and team
Multi-cloud dashboard, anomaly detection, team attribution
Enforce policies at PR time, deploy time, and runtime
Advisory, blocking, tag enforcement, budget limits
Detect waste, right-size resources, and negotiate commitments
18+ detectors, AI remediation, Savings Plans automation
AI-generated insights, forecasts, and executive summaries
Prophet forecasting, team scorecards, variance analysis
Many teams can justify the Pro subscription quickly once wasted spend and manual reporting time are visible. Here's where the value can come from:
Typical savings from deleting abandoned storage
Typical savings from compute right-sizing recommendations
Illustrative commitment optimization savings with AI negotiator
Roughly 3 hrs/week per engineer on manual FinOps tasks eliminated
Illustrative value of costly PRs caught before production
From days of manual analysis to instant AI-powered answers
Native integrations with every major cloud, orchestrator, and collaboration tool. Most teams need no local installs, with an optional Kubernetes agent for in-cluster attribution.
IAM AssumeRole, Cost Explorer, CloudWatch, and 8+ live detectors across compute, storage, and network waste.
Service Principal, Resource Graph, Azure Monitor, Advisor recommendations, and 5+ detector classes.
Service Account JWT, Asset Inventory, Monitoring, Recommender API, and 5+ detector classes.
Helm-deployed agent with namespace and deployment attribution, rightsizing, idle pods, and orphaned PV detection.
GitHub App rollout, PR cost comments, comment upsert, tagging checks, and policy enforcement before merge.
ChatOps approvals, /finops commands, anomaly notifications, and weekly cost digests in the channels your team already uses.
Route high-severity findings into ticketing workflows with ownership and triage preserved.
Send signed events to HTTPS endpoints, AWS EventBridge, or GCP Pub/Sub for automations and dashboards.
Run Terraform cost estimates locally or inside CI before a pull request is ever opened.
Inline Terraform cost hints give developers monthly estimate feedback while they are still editing infrastructure.
FinOps Co-Pilot combines cloud cost management, cloud waste detection, forecasting, policy controls, PR cost analysis, and approval-gated remediation in one platform.
Teams evaluating FinOps software usually want more than a dashboard. They need a cloud cost management platform that helps engineering, finance, and operations understand spend, prevent expensive changes, govern approvals, and act on savings opportunities without breaking production.
FinOps Co-Pilot is built for that full workflow: multi-cloud visibility, Kubernetes cost allocation, Terraform and pull request cost analysis, budget forecasting, commitment optimization, and governed remediation. The coverage below reflects the product categories buyers search for most often.
Use IAM AssumeRole onboarding, EC2 and RDS rightsizing, EBS and S3 waste detection, and Savings Plans or Reserved Instance planning in one governed workflow.
Track spend across subscriptions and resource groups, enforce budgets and policies, and surface Azure Advisor-style rightsizing opportunities with approval gates.
Consolidate billing data, asset inventory, monitoring signals, and recommender outputs so finance and engineering can act on GCP cost drivers faster.
Map cluster spend to namespaces, deployments, workloads, and teams so engineering leaders can see true unit economics and eliminate idle capacity.
Explore the high-intent product paths buyers use when comparing cloud cost optimization, governance, AI FinOps, and engineering workflow tooling.
Replace spreadsheets, dashboards, and point tools with one platform for visibility, budgeting, reporting, and cost governance across AWS, Azure, GCP, and Kubernetes.
Explore product capabilities →Apex answers cost questions in plain English, explains drivers, generates forecasts, and helps teams move from analysis to approved action faster.
See Apex AI workflows →Review infrastructure cost impact before merge with GitHub comments, policy evaluation, budget guardrails, and shift-left cloud cost controls.
View CI and GitHub integrations →Set advisory and blocking policies, protect critical resources, route approvals to Slack or Teams, and keep immutable audit logs for every action.
Review security and governance →See how platform engineering, SRE, finance, engineering leadership, and compliance teams use FinOps Co-Pilot day to day to reduce cloud spend.
Browse use cases →Start with a self-serve plan or move into a higher tier while keeping the same cloud cost optimization workflow and annual billing options.
Compare plans →"Within the first week, the AI found about $3.1K/month in unused resources our dashboards never surfaced. The PR cost analysis alone prevented a costly GPU mistake."
"We replaced CloudHealth, a custom Grafana stack, and three spreadsheets with FinOps Co-Pilot. Our FinOps meetings went from 2 hours to 30 minutes."
"The approval-gated remediation was the killer feature for us. Engineers can act on savings without us worrying about production impact."
The only platform that combines AI intelligence, governance, and automation in one place — at a fraction of the cost.
| Platform | Multi-Cloud | AI Intelligence | PR Cost Diff | Auto-Remediate | Starting Price |
|---|---|---|---|---|---|
| CloudHealth | ✓ | ✗ | ✗ | ✗ | $4K+/mo |
| Infracost | ✗ | ✗ | ✓ | ✗ | $100/mo |
| Kubecost | ✗ | ✗ | ✗ | ✗ | $199/mo |
| FinOps Co-Pilot | ✓ | ✓ | ✓ | ✓ | $49/mo |
Designed for compliance from day one — all 9 Common Criteria
AWS uses AssumeRole, while Azure and GCP credentials are encrypted and never exposed in logs or UI responses
Every action logged with actor, timestamp, and payload
Tag-based safety — critical infrastructure never touched
All data encrypted at rest and in transit (TLS 1.3)
Page-level visibility + action-level permissions per role
Everything you need to know to get started with FinOps Co-Pilot.
Under 15 minutes. Connect your cloud account with provider-native trust models, and cost data starts flowing within the hour. Full setup including policies and integrations typically lands in under a day.
Yes. Pro supports up to 9 cloud accounts across all providers. Business scales to 30+ accounts. Enterprise supports unlimited accounts with dedicated infrastructure.
Yes. AWS uses IAM AssumeRole with no static access keys stored. Azure and GCP credentials are encrypted at rest, never exposed in logs or UI responses, and every write action is approval-gated with immutable audit logging.
Yes — every new signup gets a free trial with premium capabilities unlocked. No credit card is required, and you can choose the right paid tier from the pricing page when you are ready.
Every action requires human approval. Protected-tag safety ensures critical resources are never touched. Rate limiting (10 actions/min), full audit trail, and dry-run mode provide multiple safety layers.
FinOps Co-Pilot offers multi-cloud visibility, AI intelligence, PR cost analysis, and automated remediation in one platform, with a more accessible self-serve starting tier than traditional enterprise-only FinOps tooling.
Yes. Native integration with Kubecost and OpenCost plus a lightweight Kubernetes agent for namespace, deployment, and team attribution with rightsizing and idle workload detection.
FinOps Co-Pilot is a web application, so most teams do not install anything locally. The optional GitHub App and Kubernetes agent are one-time setup steps and both are designed to take under five minutes.
Multi-provider LLM support (GPT-4o, Claude, Gemini) for Apex. Prophet (Meta) and ARIMA for forecasting, with automatic model selection based on accuracy metrics.
FinOps software helps engineering, finance, and operations teams understand, govern, and optimize cloud spend. FinOps Co-Pilot combines cost visibility, forecasting, policy controls, PR analysis, waste detection, and approval-gated remediation in one platform.
Yes. FinOps Co-Pilot runs PR Cost Diff on infrastructure changes so teams can see monthly cost deltas, policy outcomes, and budget risk before merge.
Yes. It is designed for multi-cloud and Kubernetes environments, with provider-native onboarding, unified spend visibility, detector coverage, and workload attribution across AWS, Azure, GCP, and Kubernetes.
Join teams getting clearer control of cloud spend. Free trial. No credit card. Set up in about 15 minutes.
Self-serve plans available · No credit card for trial · Cancel anytime