We hold the AWS Cloud Operations Competency in Cloud Financial Management — validated by AWS for our proven ability to help organizations gain complete control over cloud spending. Most enterprises overspend on cloud by 20-35%. We fix that — not through blunt cost-cutting, but by aligning every dollar of cloud spend with measurable business value.
A structured four-phase approach that moves you from reactive cost management to proactive financial optimization
Deep-dive analysis of your current AWS spend using Cost and Usage Reports (CUR), Cost Explorer, and custom Athena queries. We map spend to business units, identify untagged resources, benchmark your commitment coverage (RI/Savings Plans utilization), and establish a clear cost baseline with anomaly patterns. Typical duration: 2-3 weeks.
Execute immediate savings through compute rightsizing (EC2, RDS, EKS node groups), storage tier optimization (gp2→gp3, S3 lifecycle policies, EBS snapshot cleanup), commitment strategy (Savings Plans vs Reserved Instances analysis), and idle resource termination. We typically identify 25-40% savings in this phase alone.
Implement sustainable governance — automated tagging enforcement via AWS Config rules and SCPs, budget alerts and anomaly detection via AWS Budgets and Cost Anomaly Detection, resource provisioning guardrails, and automated scheduling for non-production workloads. This prevents cost creep from undoing optimization gains.
Establish a FinOps operating model with cross-functional accountability. We set up executive dashboards (QuickSight), team-level cost allocation, monthly optimization reviews, and continuous recommendation pipelines using AWS Compute Optimizer and Trusted Advisor. The goal: self-sustaining financial discipline.
Real-time, granular visibility into spending across accounts, services, and teams. We implement CUR pipelines with Athena and QuickSight, enforce mandatory tagging with 95%+ compliance, and build chargeback/showback models that make every team accountable for their cloud consumption.
Strategic analysis of your workload patterns to determine the optimal mix of On-Demand, Savings Plans, and Reserved Instances. We model coverage scenarios, manage commitment portfolios, and continuously rebalance as your workloads evolve — maximizing discount capture without over-commitment risk.
Move from reactive bill shock to predictive financial planning. We implement AWS Budgets with multi-threshold alerts, build forecasting models that account for seasonal patterns and growth trajectories, and establish variance analysis processes that catch deviations before they become problems.
Technology alone doesn't solve cloud cost problems — culture does. We help establish collaborative FinOps practices that break silos between Engineering, Finance, and Business teams. We train your teams on cost-aware architecture decisions, implement unit economics tracking, and build the muscle memory for continuous optimization.
Real customer outcomes from our CFM engagements
Implemented a multi-phased FinOps framework for a rapidly growing digital services company facing cost visibility and commitment coverage challenges.
Delivered cost visibility and governance for an EdTech platform with significant seasonal traffic spikes and inconsistent chargeback reporting.