CloudCost AIPowered by CloudClan
AWS cost optimization & FinOps intelligence

Find AWS waste.
Prove safe savings.

CloudCost AI turns AWS cost, usage, and resource signals into prioritized optimization actions, so teams know what to fix, who owns it, what it saves, and how to reduce spend without guessing.

Risk-ranked savings Owner-ready actions Executive reports
CloudCost AIOptimization Command Center
LIVE ANALYSIS
Prioritized monthly opportunity $6,240
Rightsizing, storage lifecycle, commitments, and data transfer review
18actions ranked
7low-risk wins
4owner gaps
01

Rightsize underused EC2 fleet$2,180/mo · medium effort

02

Apply lifecycle policy to stale S3 data$940/mo · low risk

03

Review NAT Gateway data transfer path$720/mo · architecture review

AI
Savings explainedRisk and impact scored
$
Finance-readyMonthly impact tracked
Optimization coverage across AWS cost drivers
EC2RDSEBSS3NATLambda
From bill shock to action

Know where spend is leaking.
Know what is safe to change.

CloudCost AI helps engineering, finance, and leadership move from raw AWS bills to an organized savings workflow with context, ownership, and measurable results.

Prioritize savings

Rank opportunities by estimated monthly impact, engineering effort, service criticality, and operational risk.

Explain the why

Translate billing anomalies and technical waste into plain-language reasons, recommended fixes, and decision notes.

Track realized impact

Follow recommendations from discovery to approval, remediation, verification, and monthly savings reporting.

Platform capabilities

Everything between
cost visibility and savings.

CloudCost AI combines AWS spend analysis, resource intelligence, anomaly explanation, and remediation tracking in one focused FinOps workflow.

02

Rightsizing recommendations

Identify oversized, underused, idle, and forgotten compute, database, storage, and load balancing resources.

03

Storage and backup cleanup

Find unattached EBS volumes, stale snapshots, high-cost storage classes, and lifecycle opportunities.

04

Data transfer analysis

Highlight NAT Gateway, cross-AZ, cross-region, CDN, and architecture-driven transfer costs.

05

Commitment planning

Surface Savings Plans and Reserved Instance opportunities with utilization, risk, and coverage context.

06

Executive and engineering reports

Generate leadership summaries, owner-based action lists, and monthly savings verification reports.

From AWS spend to verified savings

A practical FinOps workflow.

CloudCost AI is designed to make optimization work clear enough for finance and detailed enough for engineers.

01

Analyze

Review billing, usage, resource, and trend signals.

02

Find

Detect waste, anomalies, idle resources, and pricing gaps.

03

Prioritize

Rank actions by savings, risk, effort, and owner context.

04

Approve

Separate safe wins from changes needing engineering review.

05

Verify

Track implementation status and realized monthly savings.

Built for safe optimization

Cost savings should not create production risk.

CloudCost AI avoids one-size-fits-all recommendations. Each optimization is explained with business context, technical reasoning, risk level, approval guidance, and rollback-aware remediation steps.

  • Risk-aware recommendations

    Separate quick wins from changes that need performance, backup, or architecture review.

  • Owner and tag context

    Highlight missing ownership data so teams can assign work before savings opportunities get lost.

  • Finance-ready outcomes

    Summarize projected and realized savings in language leadership can use for planning.

Recommendation exampleLOW RISK AFTER SNAPSHOT
Delete unattached EBS volume

Volume has been unattached for 47 days and shows no recent write activity.

Estimated saving$42/mo
Safety stepSnapshot first
OwnerPlatform
Delete immediately without reviewNo
The old way
CSV

aws-cost-report-final-v4.csv

XLS

monthly-savings-tracker.xlsx

DOC

engineering-cost-notes.docx

Manual exports · Unclear owners · Savings hard to verify
Why CloudCost AI

Replace cloud bill guesswork with an optimization system.

Cloud teams do not need another dashboard full of charts. They need a clear queue of actions that explains why spend is high, what can be changed safely, and how much impact was actually delivered.

Clear savings priorities Less finance-engineering friction Risk-aware recommendations Monthly impact reporting
CloudCost AI by CloudClan

Turn AWS spend into
measurable savings work.

See how CloudCost AI can identify waste, prioritize safe optimization, and give your team a clearer path to lower AWS costs.