CirrusLedgerIQ™ — Cloud Cost Intelligence
Your cloud bill shouldn't be a mystery every month.
CirrusLedgerIQ brings ML-powered intelligence to your cloud spending—so you can forecast accurately, attribute every dollar, detect anomalies in hours instead of at invoice time, and reclaim 15-30% of wasted spend.
Cloud Spend — This Month
Anomaly found
Idle Resources
Running but unused
60–80%
recoverable
Over-Provisioned VMs
Right-sizing opportunity
20–40%
recoverable
Dev/Test Running 24/7
Scheduling not applied
50–70%
recoverable
Total Savings Identified
on $500K/month cloud spend
30%
CirrusLedgerIQ™ — Cloud Cost Intelligence
Your cloud bill shouldn't be a mystery every month.
CirrusLedgerIQ brings ML-powered intelligence to your cloud spending—so you can forecast accurately, attribute every dollar, detect anomalies in hours instead of at invoice time, and reclaim 15-30% of wasted spend.
Cloud Spend — This Month
Anomaly found
Idle Resources
Running but unused
60–80%
recoverable
Over-Provisioned VMs
Right-sizing opportunity
20–40%
recoverable
Dev/Test Running 24/7
Scheduling not applied
50–70%
recoverable
Total Savings Identified
on $500K/month cloud spend
30%
CirrusLedgerIQ™ — Cloud Cost Intelligence
Your cloud bill shouldn't be a mystery every month.
CirrusLedgerIQ brings ML-powered intelligence to your cloud spending—so you can forecast accurately, attribute every dollar, detect anomalies in hours instead of at invoice time, and reclaim 15-30% of wasted spend.
Cloud Spend — This Month
Anomaly found
Idle Resources
Running but unused
60–80%
recoverable
Over-Provisioned VMs
Right-sizing opportunity
20–40%
recoverable
Dev/Test Running 24/7
Scheduling not applied
50–70%
recoverable
Total Savings Identified
on $500K/month cloud spend
30%
100%
Cost visibility & attribution
95%+
Tagging compliance
15-30%
Savings identified
<24hr
Anomaly detection
100%
Cost visibility & attribution
95%+
Tagging compliance
15-30%
Savings identified
<24hr
Anomaly detection
100%
Cost visibility & attribution
95%+
Tagging compliance
15-30%
Savings identified
<24hr
Anomaly detection
What you're living with
The invoice arrives. It's higher than expected. No one can explain why.
Sound familiar? You're not alone—most organizations can't trace 20%+ of their cloud spend to any team, project, or business outcome.
Budget conversations are painful
because forecasts are guesswork. Finance wants accountability. IT wants credit for savings. Leadership wants confidence. Nobody has the data to back up their position.
Without governance, spend spirals.
"IT pays for cloud" means no one optimizes. Dev/test environments run 24/7. Idle resources accumulate silently. And by the time you notice, you've overspent by six figures.
What CirrusLedgerIQ delivers
ML models trained on your billing and usage data
surface what matters: anomalies that signal runaway spend, patterns that reveal optimization opportunities, and forecasts that make budget conversations productive.
Every dollar gets attributed.
By team, project, environment, and business unit. No more mystery spend. No more finger-pointing.
The Result
Finance gets accountability. IT gets credit for the savings they drive. Leadership gets confidence that cloud investment is delivering value.
$500K/month cloud spend × 20% savings = $1.2M/year recovered
Most organizations find 15-30% in optimizable spend within the first assessment. What's yours?
What you're living with
The invoice arrives. It's higher than expected. No one can explain why.
Sound familiar? You're not alone—most organizations can't trace 20%+ of their cloud spend to any team, project, or business outcome.
Budget conversations are painful
because forecasts are guesswork. Finance wants accountability. IT wants credit for savings. Leadership wants confidence. Nobody has the data to back up their position.
Without governance, spend spirals.
"IT pays for cloud" means no one optimizes. Dev/test environments run 24/7. Idle resources accumulate silently. And by the time you notice, you've overspent by six figures.
What CirrusLedgerIQ delivers
ML models trained on your billing and usage data
surface what matters: anomalies that signal runaway spend, patterns that reveal optimization opportunities, and forecasts that make budget conversations productive.
Every dollar gets attributed.
By team, project, environment, and business unit. No more mystery spend. No more finger-pointing.
The Result
Finance gets accountability. IT gets credit for the savings they drive. Leadership gets confidence that cloud investment is delivering value.
$500K/month cloud spend × 20% savings = $1.2M/year recovered
Most organizations find 15-30% in optimizable spend within the first assessment. What's yours?
What you're living with
The invoice arrives. It's higher than expected. No one can explain why.
Sound familiar? You're not alone—most organizations can't trace 20%+ of their cloud spend to any team, project, or business outcome.
Budget conversations are painful
because forecasts are guesswork. Finance wants accountability. IT wants credit for savings. Leadership wants confidence. Nobody has the data to back up their position.
Without governance, spend spirals.
"IT pays for cloud" means no one optimizes. Dev/test environments run 24/7. Idle resources accumulate silently. And by the time you notice, you've overspent by six figures.
What CirrusLedgerIQ delivers
ML models trained on your billing and usage data
surface what matters: anomalies that signal runaway spend, patterns that reveal optimization opportunities, and forecasts that make budget conversations productive.
Every dollar gets attributed.
By team, project, environment, and business unit. No more mystery spend. No more finger-pointing.
The Result
Finance gets accountability. IT gets credit for the savings they drive. Leadership gets confidence that cloud investment is delivering value.
$500K/month cloud spend × 20% savings = $1.2M/year recovered
Most organizations find 15-30% in optimizable spend within the first assessment. What's yours?
Six Categories. Millions in
Recoverable Spend.
These are the optimization levers we pull—with quantified savings for each.
Right-sizing
20-40%
Over-provisioned VMs, databases, and containers
Reserved Capacity
30-60%
Commitment and savings plan opportunities
Idle Resources
60-80%
Running but unused infrastructure
Storage Optimization
10-30%
Tiering, lifecycle policies, and cleanup
Dev/Test Scheduling
50-70%
Non-production running 24/7 unnecessarily
License Optimization
10-25%
Underused SaaS and software licenses
Six Categories. Millions in
Recoverable Spend.
These are the optimization levers we pull—with quantified savings for each.
Right-sizing
20-40%
Over-provisioned VMs, databases, and containers
Reserved Capacity
30-60%
Commitment and savings plan opportunities
Idle Resources
60-80%
Running but unused infrastructure
Storage Optimization
10-30%
Tiering, lifecycle policies, and cleanup
Dev/Test Scheduling
50-70%
Non-production running 24/7 unnecessarily
AI Infrastructure
10-25%
Underused SaaS and software licenses
Six Categories. Millions in Recoverable Spend.
These are the optimization levers we pull—with quantified savings for each.
Right-sizing
20-40%
Over-provisioned VMs, databases, and containers
Reserved Capacity
30-60%
Commitment and savings plan opportunities
Idle Resources
60-80%
Running but unused infrastructure
Storage Optimization
2–8 hours
Tiering, lifecycle policies, and cleanup
Dev/Test Scheduling
50-70%
Non-production running 24/7 unnecessarily
License Optimization
10-25%
Underused SaaS and software licenses
Anomaly Detection
Stop Discovering Cost Problems
at Invoice Time.
CirrusLedgerIQ detects spending anomalies in hours, not weeks.
Daily Spend Spike
< 24 hours
Resource Proliferation
< 48 hours
New Service Usage
< 1 week
Budget Trajectory
14-30 days ahead
Utilization Drop
< 1 week
Anomaly Detection
Stop Discovering Cost Problems
at Invoice Time.
CirrusLedgerIQ detects spending anomalies in hours, not weeks.
Daily Spend Spike
< 24 hours
Resource Proliferation
< 48 hours
New Service Usage
< 1 week
Budget Trajectory
14-30 days ahead
Utilization Drop
< 1 week
Anomaly Detection
Stop Discovering Cost Problems
at Invoice Time.
CirrusLedgerIQ detects spending anomalies in hours, not weeks.
Daily Spend Spike
< 24 hours
Resource Proliferation
< 48 hours
New Service Usage
< 1 week
Budget Trajectory
14-30 days ahead
Utilization Drop
< 1 week
what you get
Six deliverables. One Goal:
Financial Control Over Cloud.
01
Cost Assessment Report
Current-state analysis of spend patterns, allocation gaps, and optimization opportunities with dollar estimates.
02
Cost Intelligence Dashboards
Real-time visibility by service, team, project, and trend. Finally, one place to see it all.
03
Anomaly Detection
ML-powered alerts for unusual spending patterns. Catch problems in hours, not at invoice time.
04
Optimization Recommendations
Quantified savings opportunities with implementation guidance and priority ranking.
05
Forecasting Models
Predictive spending forecasts that turn budget conversations from arguments into plans.
06
Governance Framework
Accountability structure, approval workflows, tagging standards, and chargeback model.
what you get
Six deliverables. One Goal:
Financial Control Over Cloud.
01
Cost Assessment Report
Current-state analysis of spend patterns, allocation gaps, and optimization opportunities with dollar estimates.
02
Cost Intelligence Dashboards
Real-time visibility by service, team, project, and trend. Finally, one place to see it all.
03
Anomaly Detection
ML-powered alerts for unusual spending patterns. Catch problems in hours, not at invoice time.
04
Optimization Recommendations
Quantified savings opportunities with implementation guidance and priority ranking.
05
Forecasting Models
Predictive spending forecasts that turn budget conversations from arguments into plans.
06
Governance Framework
Accountability structure, approval workflows, tagging standards, and chargeback model.
what you get
Six deliverables. One Goal: Financial Control Over Cloud.
01
Cost Assessment Report
Current-state analysis of spend patterns, allocation gaps, and optimization opportunities with dollar estimates.
02
Cost Intelligence Dashboards
Real-time visibility by service, team, project, and trend. Finally, one place to see it all.
03
Anomaly Detection
ML-powered alerts for unusual spending patterns. Catch problems in hours, not at invoice time.
04
Optimization Recommendations
Quantified savings opportunities with implementation guidance and priority ranking.
05
Forecasting Models
Predictive spending forecasts that turn budget conversations from arguments into plans.
06
Governance Framework
Accountability structure, approval workflows, tagging standards, and chargeback model.
Platform Compatibility
Works Wherever You Run Cloud.
AWS
Cost Explorer, CUR, Billing API
Azure
Cost Management, Billing API, Advisor
GCP
Billing Export, Recommender API
Multi-Cloud
Unified data model, normalized reporting
Platform Compatibility
Works Wherever You Run Cloud.
AWS
Cost Explorer, CUR, Billing API
Azure
Cost Management, Billing API, Advisor
GCP
Billing Export, Recommender API
Multi-Cloud
Unified data model, normalized reporting
Platform Compatibility
Works Wherever You Run Cloud.
AWS
Cost Explorer, CUR, Billing API
Azure
Cost Management, Billing API, Advisor
GCP
Billing Export, Recommender API
Multi-Cloud
Unified data model, normalized reporting
Engagement Snapshot
How the engagement works.
FORMAT
Assessment
Add-On
Managed FinOps
TYPE
Analysis & Build
Engagement Snapshot
How the engagement works.
FORMAT
Assessment
Add-On
Managed FinOps
TYPE
Analysis & Build
Engagement Snapshot
How the engagement works.
FORMAT
Assessment
TYPE
Analysis & Build
Add-On
Managed FinOps
Your next cloud bill doesn't have to be a surprise.
In one conversation, we can estimate your optimization opportunity and outline how CirrusLedgerIQ would work in your environment. No commitment—just clarity.
Your next cloud bill doesn't have to be a surprise.
In one conversation, we can estimate your optimization opportunity and outline how CirrusLedgerIQ would work in your environment. No commitment—just clarity.
Your next cloud bill doesn't have to be a surprise.
In one conversation, we can estimate your optimization opportunity and outline how CirrusLedgerIQ would work in your environment. No commitment—just clarity.
© 2026 X-Centric IT Solutions. All Rights Reserved
© 2026 X-Centric IT Solutions. All Rights Reserved
© 2026 X-Centric IT Solutions. All Rights Reserved
