Stop guessing where your cloud money goes

We establish your AWS FinOps foundation in 48 hours and begin ingesting Azure and Oracle datasets immediately after. High-maturity multi-cloud governance in 90 days.

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4
Cloud Providers Unified
48hr
AWS Visibility Established
33%
Average Cost Reduction
FOCUS
1.2 Standard Compliant
The Framework

Crawl. Walk. Run.

Every engagement follows the same proven path — visibility first, then optimization, then automation.
Visibility phase
Crawl

Visibility

Days 1–14

We establish your AWS FinOps foundation and FOCUS 1.2 hub within the first week. Azure and Oracle billing exports are ingested immediately after — we allow 24–48 hours for native exports to populate. Deployment is contingent on receiving read-only billing and CUR access.

  • AWS data pipeline and executive dashboard live in 48 hours
  • Azure and Oracle ingestion begins in parallel
  • Orphaned resources identified
  • Tagging gaps mapped across all providers
Optimization phase
Walk

Optimization

Days 15–45

With visibility in place, we find the money. RI/SP coverage gaps, idle resources, right-sizing opportunities — prioritized by dollar impact.

  • Top savings opportunities ranked
  • Budget baselines by team
  • Cost forecasting with ML
  • Showback dashboards by stakeholder
Governance phase
Run

Governance

Days 46–90

Automation takes over. Tagging enforcement, budget alerts, approval workflows — compliance becomes the path of least resistance.

  • Automated budget vs. actuals
  • Proactive breach alerts
  • Tagging enforcement via policy
  • Quarterly business reviews
Our Philosophy

Culture is Behavior, Automated

A true FinOps culture isn't just a set of values — it's a consistent set of behaviors. We help you achieve that culture by removing the toil of manual oversight.

By delivering daily FOCUS 1.2 exports and dashboards tailored to Management, Finance, Product Teams, and Engineers, we give each stakeholder the precise visibility they need to make cost-aware decisions in real-time. We don't just show you where the money went — we forecast where it's heading using ML-based models that account for seasonality, growth, and workload patterns.

Our toolkit transforms FinOps from a monthly surprise into a daily habit. We integrate cost awareness directly into your CI/CD pipelines using tools like Infracost — so engineers see the dollar impact of every pull request before it deploys. Governance is automated. Forecasts are proactive. Your team stays focused on building while the platform stays focused on the bottom line.

📊

Tailored Showback

The CFO sees margins. The VP sees budget variance. The engineer sees their resources. One data pipeline, every perspective.

🔮

Cost Forecasting

ML-powered forecasting that predicts budget breaches 15 days out — so you act before the overage, not after.

⚡

Automated Governance

Tagging enforcement, budget alerts, approval workflows — compliance becomes the path of least resistance.

Measuring the Gap

What is your Effective Savings Rate?

Most companies track their budget, but very few track their Effective Savings Rate (ESR). Your ESR tells you the percentage of discount you've achieved against the public on-demand price. If you aren't tracking this, you're likely overpaying for agility you don't use.

My toolkit calculates your ESR in real-time by comparing your actual amortized spend against the global price list. We don't just show you a bill — we show you the efficiency gap and provide the automated path to close it.

Typical Enterprise: 8–15% ESR
With Pinnacle: 30–45% ESR
The Engineering Reality

Why Standard FinOps Fails

Cloud providers profit from complexity. We solve the three engineering hurdles that stop most FinOps initiatives before they start.

1

The Multi-Cloud Language Barrier

Problem

Azure, GCP, and Oracle don’t natively support the FOCUS 1.2 standard. Their billing data uses proprietary, incompatible schemas — making a single pane of glass impossible without manual effort.

Solution

We deploy automated mapping templates that normalize disparate cloud exports into a unified FOCUS 1.2 dataset the moment they land in your environment. One schema. Every provider.

2

The Egress & Storage Tax

Problem

Moving raw daily billing CSVs from multiple clouds into a central hub creates massive data egress fees and bloated storage costs.

Solution

We don’t move raw data. We process and compress extracts into high-density Parquet format on each provider’s backbone before transfer. This reduces data volume by up to 90% — your governance doesn’t become a new cost center.

3

The Processing Bottleneck

Problem

Analyzing millions of rows of billing data in traditional databases is slow and expensive.

Solution

We use AWS Athena and serverless execution to query compressed data in seconds. You pay only for the data scanned — keeping reporting costs at near-zero while providing real-time visibility into the efficiency gap.

4

Immutable Audit Trails & Compliance

Problem

Regulatory standards like SOX and GDPR require that financial source data remain in its original, unaltered format for a specified period. Transformation processes can obscure the raw evidence needed for a formal audit.

Solution

Our pipeline follows a source-of-truth architecture. While we compress and normalize your data for high-speed reporting, we simultaneously archive a verbatim, unaltered copy of every raw billing export from AWS, Azure, and Oracle. Your governance runs on high-performance data. Your compliance is backed by the original source.

See It Working

Live Multi-Cloud Dashboard

This isn't a mockup. It's a live dashboard running on AWS Lambda — serverless, near-zero cost, no login required.

What we deploy looks like this. In your environment, it connects to QuickSight, Power BI, or Looker — whatever your team already uses. Same data, same visibility, your tools.

Pinnacle FinOps Multi-Cloud Dashboard
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Pinnacle FinOps Multi-Cloud Dashboard
Interactive dashboard — tap below to explore full screen
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FOCUS 1.2 • AWS Athena • QuickSight • Looker • Power BI • Lambda • Multi-Cloud
About

Terry Hanks

Strategic Technology Leader and FinOps Certified Practitioner with 15+ years transforming Enterprise and Cloud infrastructure into a driver of gross margin improvement. I don't make PowerPoints about cost savings — I build the pipelines, dashboards, and automation that deliver them.

In my own AWS environment, I reduced cloud spend by 48% in the first week by identifying orphaned resources and right-sizing. I also built an automated agent that detects zombie ML training jobs — the kind of idle compute that silently burns budget while delivering zero value. Across my career, I've managed $10M+ budgets and delivered up to 67% infrastructure savings by embedding cost-awareness into the engineering lifecycle.

I bridge the gap between management's budget mandates and engineering's execution. The C-suite gets margins and variance. Engineers get resource-level detail. Everyone gets the truth.

FinOps Certified Practitioner (FCP)
FinOps Certified FOCUS Analyst
PMP — Project Management Institute
AWS, Azure, Oracle Cloud
FOCUS 1.2 Standard
Case Study

How We Optimized the PPE Detect AI Infrastructure

The Founder's Challenge

As the founder of PPE Detect LLC, I faced a common problem: our AI-driven safety monitoring required GPU resources for model training. As our footprint grew, our AWS bill began to scale faster than our revenue. I needed a system that provided industrial-grade safety without industrial-grade waste.

The Discovery

I built the Pinnacle FinOps toolkit by solving my own problem first. By implementing a FOCUS 1.2 governance model on our production environment, we discovered that 48% of our cloud spend was attributed to non-value-adding resources — primarily zombie ML training jobs and over-allocated memory.

The Remediation

🔍 Zombie Eradication

Automated the lifecycle of SageMaker and EC2 GPU instances. If a training job wasn’t active, the resource was terminated — not just stopped.

⚙️ Memory Optimization

Applied "sweet spot" logic to Lambda functions, ensuring we weren’t overpaying for elapsed milliseconds where performance had already plateaued.

48%

Reduction in Monthly Burn

Directly increased our marginal revenue per camera stream by eliminating waste without reducing capability.

Engagement Models

How We Work Together

Project-Based

One-time Crawl phase — full visibility audit, FOCUS 1.2 deployment, and executive dashboard delivered in 48 hours.

Fractional FinOps Leader

Ongoing Walk/Run phases — active governance, cost forecasting, and continuous 1% daily improvements embedded in your team.

Ideal for organizations with $20K+ monthly cloud spend looking to institutionalize FinOps.

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