Can we use Spot Instances for production?

Yes, if your workload tolerates interruptions. We recommend Spot for batch processing, analytics, and non-critical services, with fast failover to on-demand if needed.

How much will we save with FinOps?

Typical customers save 30-40% in year one and maintain savings in subsequent years. The ROI from FinOps implementation usually exceeds 5x within 12 months.

Do we need to change our applications?

No. We optimize infrastructure without touching code. Some optimization recommendations may benefit from app-level changes, but they're optional.

How do we handle seasonal demand with cost optimization?

We analyze seasonal patterns and recommend Reserved Instances for baseline load, Spot for predictable peaks, and on-demand for true variance. Your costs scale smoothly with revenue.

What about compliance and data residency costs?

We factor in compliance requirements when optimizing. Keeping data in specific regions may cost more, but we ensure you're not over-paying for the compliance tier you need.

AI-Driven Cloud

Intelligent Cost Optimization (FinOps) that Cuts Cloud Waste

We turn cloud spend into a managed line item, using AI to surface waste, rightsize resources, and forecast cost, so finance and engineering see the same numbers and every dollar maps to real workload.

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Lean Cloud

Many organizations waste nearly a third of their cloud budget on ghost resources, orphaned snapshots, and over-provisioned instances. We implement systematic FinOps frameworks that align finance and engineering around real-time spend attribution. Using predictive anomaly alerts and automated rightsizing, we continuously identify and eliminate compute waste while maximizing discounts through reserved instances and spot-capacity brokers, all without sacrificing application headroom.

The Old Way

Budget Leakage

The Intelegencia Way

Optimized Cloud

Unused Snapshots

AI Rightsizing

Over-sized Instances

Automated Spot-Instance Usage

Hidden Data Egress Costs

Reserved Instance Planning

Manual Billing Review

Granular Cost Attribution

Zero Cost Accountability

Continuous Efficiency Tuning

AI-Powered Rightsizing

Our system analyzes your CPU, RAM, and IOPS patterns and recommends the exact instance type that meets your needs at the lowest cost. We identify instances running idle, databases over-sized for their workloads, and storage tiers where data sits forgotten. Right-sizing reduces your cloud bill by 25-40% without sacrificing performance or reliability. The recommendations are automated and safe, with rollback capabilities if anything unexpected happens.

Instance Size Calibration

Zombie Resource Cleanup

Storage Tier Optimization

Data Egress Reduction

Schedule-Based Power Down

Reserved & Spot Instances Strategy

Paying on-demand prices for predictable workloads is wasteful. We analyze your usage patterns and recommend a mix of Reserved Instances for baseline load and Spot Instances for variable workloads. Reserved Instances lock in 70% savings for long-term commitments, while Spot captures 90% discounts on spare capacity. Careful orchestration ensures you never run out of capacity while maximizing savings.

Reserved Instance Planning

Spot Instance Automation

Commitment Optimization

Failure Tolerance

Cost Modeling

Cost Visibility & Chargeback

If teams don't see cloud costs, they won't optimize them. We implement comprehensive tagging and chargeback systems that attribute costs to cost centers, projects, and teams. Real-time dashboards show which services are expensive, which teams are budget leaders, and where waste is concentrated. Visibility drives accountability and continuous optimization.

Automated Tagging

Chargeback Models

Real-Time Dashboards

Budget Alerts

Team Accountability

The Savings Stack

FinOps Units

Cost visibility, AI-driven rightsizing, reserved instance optimization, and anomaly detection that surface waste, prevent budget surprises, and reduce cloud spend by 30 to 40 percent while maintaining performance.

Anomaly Alert

Instant alerts if a dev leaves a massive GPU running.

Spot Broker

Automatically moving non-critical tasks to cheap compute.

Tagging Bot

Ensuring 100% of costs are assigned to departments.

Forecast AI

Predicting your end-of-month bill with 98% accuracy.

Anomaly Detection & Spend Controls

A runaway cloud bill ruins profit margins. We deploy anomaly detection that alerts you instantly when spending deviates from baseline or forecasts. Automated spending caps prevent a single misconfigured job from costing thousands. Predictive analytics forecast your end-of-month bill with 98% accuracy, giving finance teams confidence in budget planning. Spend governance becomes proactive, not reactive.

Anomaly Alerts

Spending Caps

Budget Forecasting

Cost Trends

Optimization Recommendations

The ROI Flow

Our Savings Roadmap

Five steps from cost visibility to continuous optimization that turn cloud spending into a managed line item, using AI to rightsize resources, recommend reserved instances, and surface waste before it drains your budget.

Full Visibility

Connecting billing APIs to our analysis engine.

Waste Hunt

Identifying and deleting unused test environments.

Rightsizing

Downsizing over-provisioned production nodes.

Purchase Strategy

Moving to Reserved Instances and Savings Plans.

Culture Shift

Giving developers real-time cost visibility.

Measured Performance. Proven Growth.

Cloud Bill

Resource Efficiency

ROI on Optimization

Cost Forecast Accuracy

Frequently Asked Questions
About Intelligent Cost Optimization (FinOps)

Here you will find answers to questions we get asked the most about our offerings.

No. Our recommendations are based on actual usage buffers. We never suggest a size that doesn't include enough 'Headroom' for your peak traffic.