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Cloud Cost
Management
Cloud infrastructure costs are one of the largest and most unpredictable expenses for SaaS companies. When you have infrastructure spend completely embedded in financial workflows, teams can act faster, improve profitability, and support more informed, scalable growth.
Cloud Cost Explorer
The Problem
Why FinOps remains
administrative overhead
As cloud investments grow, finance teams struggle to manage high-variability expenses with disconnected workflows, leading to reactive, labor-intensive cloud cost management that’s misaligned with financial reporting.
Data stays in cloud provider portals
Finance teams must extract and interpret usage details from billing exports and cost explorers, isolated from none of which are designed for accounting andor saas financial metrics.
Tech stack sprawl creates overhead
Managing cloud spend across third-party platforms and internal BI tools drives up infrastructure complexity, increases dependency on it, and delays close cycles.
No financial mapping to revenue or customers
Legacy systems lack native logic to attribute usage-based costs to products, customers, or cost centers, leaving teams blind to true unit economics.
Spreadsheets dominate cost allocation
Without automation, allocations rely on static rules and manual tagging reviews that introduce inconsistencies and fail to scale with businessinfrastructure growth.
Delayed and incomplete insights
Finalized cloud invoices often arrive late, preventing timely analysis and creating a lag between operational activity and financial visibility.
Data stays in cloud provider portals
Finance teams must extract and interpret usage details from billing exports and cost explorers, isolated from none of which are designed for accounting andor saas financial metrics.
Tech stack sprawl creates overhead
Managing cloud spend across third-party platforms and internal BI tools drives up infrastructure complexity, increases dependency on it, and delays close cycles.
No financial mapping to revenue or customers
Legacy systems lack native logic to attribute usage-based costs to products, customers, or cost centers, leaving teams blind to true unit economics.
Spreadsheets dominate cost allocation
Without automation, allocations rely on static rules and manual tagging reviews that introduce inconsistencies and fail to scale with businessinfrastructure growth.
Delayed and incomplete insights
Finalized cloud invoices often arrive late, preventing timely analysis and creating a lag between operational activity and financial visibility.
The
Everest
Solution
Everest embeds cloud cost intelligence directly into your ERP. Finance teams gain fine-grain, timely access to infrastructure spend aligned with accounting, empowering them to confidently support financial statements and strategic decisions.
ERP-native cloud cost integration
No more relying on manual exports or third-party tools. Everest ingests billing data from AWS, Azure, and GCP, transforming raw usage into finance-ready records within the same system you use for revenue, reporting, and forecasting.
Direct cloud billing ingestion
Feed AWS, Azure, and GCP billing data into the ERP—no middleware needed.
Eliminate manual processes
Remove delays and errors from CSV exports, scripts, and manual uploads.
Link spend to business context
Map cloud costs directly to GL accounts, products, and customers.
Single source of truth
Keep financial and operational teams aligned on the same data foundation.
Automated cost allocations with full traceability
Cloud spend is automatically mapped to customers, products, and departments, eliminating spreadsheets, reducing reconciliation effort, and enabling accurate unit economics at scale.
Rule-based allocation engine
Use built-in rules to assign cloud costs to customers, features, or environments.
Shared services distribution
Allocate shared cloud usage across products and teams automatically.
End-to-end audit trail
Trace every allocation from raw usage through to journal entries.
No more manual tagging
Avoid Excel-based tagging audits and late-stage adjustments.
Granular margin insights
Analyze unit economics by product, customer, or business unit with confidence.
Built-in support for SaaS metrics
With cloud infrastructure and subscription costs linked to revenue, Everest delivers real-time gross margin tracking and cohort analysis without need for external systems.
Product-level cost attribution
Track cost of revenue by product, customer, and cohort.
Integrated KPI analysis
Surface cloud cost drivers in ARR, NRR, and churn analysis.
Highlight margin risks
Identify where underpricing or infrastructure overuse is eroding margins.
Cohort cost trends
Monitor infrastructure cost per customer or per unit sold over time.
Shared metrics, shared understanding
Align finance, product, and engineering on trusted KPIs.
Streamlined, scalable reporting
Predefined and customizable reporting views give finance teams instant insight into total spend, variance from budget, and profitability by dimension—no IT support required.
Ready-to-use dashboards
Access prebuilt views for total spend, budget variance, and margin tracking.
Configurable reporting dimensions
Filter and group data by customer, product, team, or region.
Collaborative reporting tools
Schedule and share dynamic reports with stakeholders.
Flexible, code-free structure
Adapt reporting to new org structures or infrastructure changes.
No dependence on external BI
Eliminate reliance on spreadsheets or third-party analytics tools.
Business Benefits
Everest Integrates cloud intelligence
cost tracking into finance
Everest embeds eliminates the disconnect between cloud operations and financial oversight by embedding cloud cost intelligence directly into your ERP.
Faster, more confident decision-making
Real-time spend insights reduce lag between operational changes and financial visibility, helping teams stay agile during planning cycles, board reporting, or budget reviews.
Stronger collaboration between finance, product, and engineering
A shared source of truth helps cross-functional teams evaluate cost-performance tradeoffs, monitor efficiency metrics, and align resource planning with financial goals.
Early detection of profitability risks
Real-time monitoring flags margin degradation or usage anomalies before they hit the income statement, allowing teams to address cost overruns or revenue-model mismatches proactively.
Data-driven planning and prioritization
With finance and infrastructure data unified in one system, teams can model the impact of pricing, bundling, or usage changes before committing resources, enabling better-informed product and capacity planning decisions.
Improved profitability across customer and product lines
Clear allocation of cloud spend reveals which segments consume disproportionate resources. That insight empowers finance leaders to adjust pricing, repackage services, or retire costly features.
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