Loading...
Cut AWS, Azure, and GCP spend 30-40% in 90 days using FinOps-grade tagging, rightsizing, and automated guardrails -- without sacrificing performance.

We treat cloud cost management as a continuous FinOps discipline, not a one-time cleanup. Most engagements begin with an inventory of every running resource across AWS, Azure, and GCP, followed by a tagging audit using AWS Cost Allocation Tags, Azure Resource Tags, and GCP Labels. Because our team's roots are in cloud audit and compliance work, the tag taxonomy is built to double as audit evidence -- the same labels that drive cost reports also map to SOC 2 and HIPAA scope decisions. Within the first two weeks you see a per-team, per-product, per-environment cost breakdown that maps engineering decisions to invoice lines.
Our optimization playbook draws from FinOps Foundation principles. Right-sizing EC2, RDS, and EKS workloads through Compute Optimizer and Trusted Advisor recommendations. Committing to Savings Plans and Reserved Instances with 1-3 year horizons aligned to your funding runway. Shutting idle staging environments on schedule. Customers typically realize 30-40% reduction in monthly spend within 90 days while maintaining latency and uptime SLAs.
Long-term controls are encoded as guardrails, not as Slack reminders. AWS Budgets with machine-learning anomaly detection. Service Control Policies that block over-provisioned instance families. Spend alerts routed to the team that owns the resource via tag-based ownership. You receive a weekly dashboard, a quarterly business review, and the option to layer a third-party FinOps platform on top if you prefer the extra UI -- though many of our customers run with our team alone and capture the same outcomes without the platform license.

Engineering rigor, audit-ready process, and operational depth across cloud, SaaS, and software delivery
Reduce monthly cloud spend 30-40% in the first 90 days through right-sizing, Savings Plans, and idle-resource reclamation -- measured against a clean pre-engagement baseline.

Per-team, per-product, per-environment cost dashboards updated hourly, with ML-driven anomaly alerts piped to Slack and ownership tags that map every dollar to the engineer who provisioned it.

Spend guardrails enforced as IAM policies and AWS Service Control Policies, not Slack reminders. Stop over-provisioning before it happens; route exceptions through documented approval workflows.

12-24 month commitment plans aligned to your funding runway, modeled with Savings Plans and Reserved Instances at the family level so you keep flexibility while locking in 40-60% rate discounts.

A systematic approach to optimizing your cloud spending
Two-week baseline audit covering tagging hygiene, untagged spend, top 20 cost centers, and quick-win opportunities. Output: a ranked savings backlog with effort and confidence estimates.
Custom 90-day optimization plan covering compute right-sizing, storage tier migration, Savings Plan purchases, and idle resource cleanup -- mapped to your business cycle and release cadence.
Roll out cost guardrails as IAM and SCP policies, deploy AWS Budgets and CloudWatch anomaly alarms, and wire spend events into your existing PagerDuty or Slack channels.
Weekly cost-and-trend reports, monthly executive summary, quarterly architectural review with rightsizing and commitment refresh recommendations. You always have a 30-day forward forecast.
Two-week baseline audit covering tagging hygiene, untagged spend, top 20 cost centers, and quick-win opportunities. Output: a ranked savings backlog with effort and confidence estimates.
Custom 90-day optimization plan covering compute right-sizing, storage tier migration, Savings Plan purchases, and idle resource cleanup -- mapped to your business cycle and release cadence.
Roll out cost guardrails as IAM and SCP policies, deploy AWS Budgets and CloudWatch anomaly alarms, and wire spend events into your existing PagerDuty or Slack channels.
Weekly cost-and-trend reports, monthly executive summary, quarterly architectural review with rightsizing and commitment refresh recommendations. You always have a 30-day forward forecast.
Why automated cloud cost management is essential for growing SaaS companies
| Feature | Manual Cost Management | Automated Cost Management |
|---|---|---|
| Analysis & Reporting | Time-consuming manual analysis and reporting | Real-time automated analysis and alerting |
| Response to Overruns | Reactive approach to cost overruns | Proactive cost optimization and prevention |
| Visibility | Limited visibility into spending patterns | Comprehensive visibility with detailed analytics |
| Policy Enforcement | Difficulty enforcing cost policies across teams | Automated policy enforcement and controls |
| Optimization Decisions | Risk of human error in optimization decisions | AI-driven optimization recommendations |
Read our practical guide to cloud cost optimization for SaaS companies -- tagging strategy, right-sizing, Savings Plans, and FinOps governance.
Read the whitepaperCommon questions about our cloud cost management services
Buyers of cloud cost management typically partner with us across these adjacent disciplines
Right-sizing decisions are validated against real application metrics — pair cost discipline with the SRE team that owns your uptime SLOs.
The same tag taxonomy that drives cost reports doubles as audit evidence for SOC 2 and HIPAA scoping.
Cloud spend is half the picture — SaaS licenses and hardware lifecycle are the other half. We unify both registers.
Let our experts help you reduce cloud costs while improving performance.