Marketplace / IT & DevOps / Cloud Cost Analyzer Agent
FinOps · Optimization · Savings Marketplace Agent

Find the waste. Capture the savings.

Continuously analyzes your cloud spend across AWS, GCP, and Azure. Identifies waste, recommends optimizations, and tracks savings—turning cloud cost management from a monthly fire drill into an automated process. All on your infrastructure.

32%
Avg Cost Reduction
$2.4M
Avg Annual Savings
94%
Recommendation Accuracy
💰
Cloud Cost Analyzer Agent
Real-time spend analysis
● LIVE
Monthly Spend
$847K
↓ 12% vs last month
YTD Savings
$2.4M
↑ 147% vs target
💸 Waste Detected $127K/mo
47 idle EC2 • 12 oversized RDS • 234 orphaned EBS
Goal Progress
73%
Avg Cost Reduction 32%
This Month's Savings $312K captured
The Problem

Cloud bills grow. Visibility shrinks.

The bill arrives. Nobody knows why.

  • Cloud bill hits $1.2M. Finance asks what it's for. Engineering shrugs. Everyone knows there's waste—but no one has time to find it. The bill gets paid. Same thing next month.
  • Cost allocation is a nightmare. Which team spent what? Which project drove the spike? Tags are inconsistent, half the resources are untagged, and the cost explorer is a maze. Chargeback? More like blame game.
  • Reserved instances expire silently. You bought 3-year reservations in 2021. They expired. You're now paying on-demand prices for workloads that should cost 60% less. No one noticed for 4 months.
  • Dev environments run 24/7. Production needs to be always on. Dev and staging? Engineers spin them up Monday, forget to shut them down Friday. You're paying for empty servers all weekend. Every weekend.
  • Rightsizing is guesswork. That database is provisioned for 10,000 IOPS. Actual usage: 200 IOPS. But no one wants to be the one who downsizes it and causes an outage. So it stays oversized. Forever.
  • Multi-cloud multiplies the problem. AWS, GCP, Azure—each with its own billing console, its own pricing model, its own discounting mechanisms. Unified visibility? Good luck.

"We did a cloud cost audit. Found $400K per month in waste. Idle instances nobody knew about. EBS volumes attached to nothing. Snapshots from 2019. Reserved instances that expired 6 months ago. The scary part? This wasn't negligence—we just had no visibility. No one could see the waste, so no one fixed it."

— VP of Infrastructure, Series C SaaS Company ($18M annual cloud spend)

The Solution

See the waste. Capture the savings.

Deploy an AI that continuously analyzes your cloud spend, identifies optimization opportunities, and executes savings—turning FinOps from a monthly scramble into an automated discipline.

01

Continuous Analysis

Analyzes spend across AWS, GCP, and Azure in real-time. Correlates usage patterns with billing data. Identifies waste, anomalies, and optimization opportunities automatically.

02

Smart Recommendations

Recommends rightsizing, reserved instances, spot usage, and storage optimization. Each recommendation includes projected savings, risk assessment, and one-click implementation.

03

Automated Execution

Executes approved optimizations automatically. Schedules dev environment shutdowns. Manages reserved instance purchases. Tracks savings and reports to finance.

What We Optimize

Every service. Every provider.

🖥️

Compute

EC2, GCE, Azure VMs. Rightsizing, reserved instances, spot optimization, idle detection.

💾

Storage

S3, GCS, Blob Storage. Lifecycle policies, tiering, orphaned volume cleanup.

🗄️

Databases

RDS, Cloud SQL, Azure SQL. Rightsizing, reserved capacity, idle instance detection.

🌐

Networking

Data transfer, NAT gateways, load balancers. Traffic optimization, unused resource cleanup.

📦

Containers

EKS, GKE, AKS. Node rightsizing, spot nodes, resource requests optimization.

⚡

Serverless

Lambda, Cloud Functions, Azure Functions. Memory optimization, invocation analysis.

🔒

Security

WAF, Shield, GuardDuty. Right-tier selection, unused rule cleanup.

📊

Analytics

Redshift, BigQuery, Synapse. Query optimization, slot management, storage tiering.

Use Cases

Real waste. Real savings.

Waste Elimination

$127K/Month Waste Found in 24 Hours

New client onboards. Claims they've already optimized. "We're pretty efficient." Within 24 hours, agent finds $127K in monthly waste hiding in plain sight.

⚡ Agent Action
📊Scanned 3 AWS accounts + 1 GCP • $847K/mo spend
🔍47 idle EC2 (<5% CPU) • $42K waste
🔍234 orphaned EBS + 89 unused EIPs • $36K waste
💡Quick wins: Terminate 23 idle + delete orphaned
✅$54.6K/mo immediate savings • Zero risk
$127K/mo found in 24 hours • 15% immediate savings
Reserved Instance Management

RI Coverage from 34% to 78%

Company bought reserved instances years ago. Some expired. Some wrong size. On-demand spend is 3x what it should be.

⚡ Agent Action
📊Current RI coverage: 34% • 66% on-demand
⚠️23 expired RIs → $67K/mo now on-demand
💡Purchase 45 new 1-yr convertible RIs
🔄Convert 8 undersized • Sell 4 unused on marketplace
✅78% coverage achieved • $234K/mo savings
$2.8M/year saved 34% → 78% RI coverage
Development Environment Optimization

Dev Costs Cut 67% with Scheduling

8 dev environments running 24/7. Actual usage: 9 AM - 7 PM weekdays. Paying for 168 hours when you use 50.

⚡ Agent Action
📊8 dev environments • $89K/mo cost
🔍Usage: 9 AM-7 PM weekdays • Off-hours <2%
💡Auto stop/start scheduling • Slack override
🛠️Scheduling applied • 2-min cold start
✅94% dev satisfaction • No workflow disruption
67% cost reduction $59K/mo saved • Zero complaints
Cost Anomaly Detection

$47K Spike Caught in 4 Hours

Misconfigured Lambda calling itself in a loop. Old process: Finance notices 3 weeks later. $150K damage. New process: Caught same day.

⚡ Agent Action
🚨Anomaly: Lambda cost $340/day → $47K projected
🔍Root cause: Recursive invocation (50K → 12M/day)
⏱️Detected 4 hrs after start • Alert sent
🛠️Function disabled at 2:41 PM
✅Total damage: $7.8K vs $150K+ if caught later
$142K prevented 3-week detection → 4-hour detection
→ 3-week detection → 4-hour detection. $142K damage prevented.
Capabilities

Everything you need for cloud cost control.

📊

Multi-Cloud Visibility

Unified view across AWS, GCP, and Azure. Normalized cost data. Single dashboard for all providers.

🔍

Waste Detection

Identifies idle resources, orphaned storage, oversized instances. Quantifies waste in dollars.

💡

Smart Recommendations

Rightsizing, reserved instances, spot optimization. Each with ROI, risk level, and implementation steps.

⚡

Automated Execution

One-click optimization. Scheduled actions. Approval workflows for high-impact changes.

🚨

Anomaly Detection

Real-time spend monitoring. Alerts on unusual patterns. Catches runaway costs within hours.

🏷️

Cost Allocation

Tag compliance monitoring. Untagged resource identification. Chargeback report generation.

📅

Budget Management

Budget tracking by team, project, environment. Forecasting. Alerts before overruns.

📈

Savings Tracking

Measures actual savings from implemented recommendations. ROI reporting for finance.

📋

Executive Reporting

Finance-ready reports. Trend analysis. Unit economics. Board-level summaries.

Integrations

Connects with your cloud stack.

AWS Cost Explorer
AWS Organizations
GCP Billing
Azure Cost Management
CloudHealth
Cloudability
Spot.io
Terraform
Kubernetes
Datadog
Slack
Jira
ServiceNow
NetSuite
QuickBooks
Looker
Agent Job Description

Know exactly what you're deploying.

Agent Goal

Eliminate cloud waste and capture savings through continuous spend analysis, intelligent recommendations, and automated optimization execution

Priority 1
Key Metrics
32% avg cost reduction 4-hour anomaly detection 73%+ savings goal attainment
Inputs & Outputs

Inputs: Cloud billing data (AWS, GCP, Azure), resource utilization metrics, tagging data, budget targets, approval policies

Outputs: Waste reports, optimization recommendations, savings tracking, anomaly alerts, executive dashboards, chargeback reports

Skills & Capabilities
  • Multi-cloud spend analysis and normalization
  • Waste detection (idle, orphaned, oversized)
  • Reserved instance optimization
  • Dev environment scheduling
  • Cost anomaly detection and alerting
Decision Authority
✓ Delete orphaned/unused resources
✓ Schedule dev environment shutdowns
✓ Generate savings and chargeback reports
⚡ Rightsize instances (requires approval)
⚡ Purchase reserved capacity (requires approval)
✗ Modify production infrastructure directly
✗ Commit to multi-year contracts
Fallback / Escalation

Escalate to FinOps/Platform team when: savings recommendation exceeds $50K/month, production workload changes required, multi-year commitment decisions, cross-team budget impacts detected, anomaly root cause unclear

Agent Trigger
Reactive ✓ Proactive ✓ System-led ✓
Interaction Model
Worker (Workflow) ✓ Custom UI (SaaS) ✓
Activation
Time-triggered ✓ Event-triggered ✓ On-demand ✓
📋

Full Job Description

Complete BCG-aligned specification with optimization policies, approval workflows, and savings targets.

Download .docx

What's Inside

  • ◈ Complete agent description
  • ◈ Optimization thresholds
  • ◈ Worked examples by category
  • ◈ Required capabilities
  • ◈ Risk controls & guardrails
  • ◈ Permission boundaries
  • ◈ Cloud account integrations

Customize with Weaver

Connect your cloud accounts, configure cost allocation rules, set savings targets, and define approval workflows for your organization.

What You Own

Your costs. Your data. Your infrastructure.

🤖

Agent (One-Time)

Pay once. Own the asset. Full source code on Google ADK. Deploy, modify, extend.

🔒

Cost Data Stays Yours

Billing data, usage patterns, and optimization history never leave your infrastructure.

🛡️

Annual Assurance

New cloud service support, pricing updates, and optimization algorithms. You own agents; you subscribe to safety.

🔧

Weaver Customization

Configure cost allocation, approval workflows, and savings targets for your organization.

Stop overpaying for cloud. Start capturing savings.

Deploy the Cloud Cost Analyzer Agent on your infrastructure. Continuous optimization. Automatic savings. Finance that smiles.

Book a Demo