Stop AI Compute Costs
From Eating Your Margins

A self-serve execution toolkit that gives finance and engineering teams a shared playbook to audit, forecast, and govern AI/GPU spend before it's too late.

For IT & Finance Leaders Running AI at Scale

Instant download No subscription Built for finance + technology alignment

29%
Of Cloud Spend Goes to Waste[6]
<7 days
To Complete First Audit
100%
In-House & Secure Data
The Four Pillars

A Complete AI FinOps Framework

Everything you need to move from reactive cost surprises to proactive, governed AI spend management.

Model Routing & Cascading

Stop brute-forcing every request through your most expensive model. Score how much of your traffic could route to a cheaper tier without touching quality.

Prompt & Semantic Caching

Find out how much of your spend is paying full price for prompts and queries you've already answered before.

GPU Utilization & Inference Serving

A repeatable playbook for finding idle GPU capacity, enabling dynamic batching, and right-sizing instances to actual load.

Cost Attribution & Token Tagging

Tag spend back to the team or product that generated it, set budget guardrails, and stand up real chargeback ownership.

Inside the Toolkit

See What You're Getting

A real look at the diagnostic audit matrix and ROI calculator included in the download.

Real screenshots from the AI FinOps toolkit: the Diagnostic Audit Matrix overview, its built-in methodology, the ROI calculator, and a sample diagnostic row with answers redacted

Real screenshots from the toolkit. Diagnostic answers are redacted here to protect the content you're purchasing.

Pricing

One Toolkit. Everything Included.

No tiers to compare, no sales calls required. Buy it once, run the audit this week.

SELF-SERVE

AI FinOps Execution Toolkit

$500

Flat one-time fee

  • Full 4-pillar diagnostic audit matrix, 26 scored questions
  • Formula-driven ROI & blended savings calculator
  • 30-day action plan & board-ready executive deck
  • Every savings estimate backed by cited sources
  • Editable templates, built to run with your own numbers
  • Access to future updates

Delivered instantly • Secure checkout

FAQ

Questions Customers Ask Us

Most teams identify 15-30% in reclaimable AI/GPU spend within the first audit cycle. Oversized instances, idle capacity, and unattributed usage are the most common culprits. The toolkit pays for itself within the first review.

The framework is designed to run your first full audit within a single week using your existing billing exports and cloud/AI vendor data, with no new tooling or integrations required to get started.

One-time purchase, $500 flat. There's no recurring fee, no seat licensing, and no vendor lock-in. You own the templates, frameworks, and models outright.

Light involvement is recommended for pulling usage data, but the toolkit is built so finance can lead the audit independently and bring engineering in only for validation and execution.

The toolkit runs entirely within your own environment using your existing spreadsheets and exports. No data is sent to us, and nothing needs to be uploaded to a third-party platform.

Due to the instant, digital nature of this toolkit, all sales are final. The one exception is a verified technical issue with your download (a corrupted file or broken link). Report that within 7 days and we'll get you a working copy or a refund. See our Terms of Service for full details.

Methodology

Grounded in Data

Here's what the framework is actually built on.

76.4%
YoY growth in worldwide GenAI spend, 2025[1]
3.2x
Enterprise GenAI spend growth in a single year[2]
~90%
Drop in flagship model pricing in 17 months[4]

Where the framework comes from

The four pillars (model routing, caching, GPU utilization, cost attribution) aren't invented for this toolkit. They're the same categories FinOps and platform engineering teams already use to manage cloud and inference spend, organized into a structured audit. The diagnostic scorecards and tagging governance follow the same logic finance teams already apply to AWS, Azure, and GCP cost management, extended to model routing and inference spend.

Where the numbers come from

The case for why this matters right now is documented on our Why This Toolkit Exists page, with full citations to Gartner, Menlo Ventures, and independent AI pricing research. We'd rather point you to primary sources than ask you to take our word for it.

What we're not doing

We're not posting fabricated five-star reviews to manufacture social proof. If you use the toolkit and want to share feedback, reach out and we're glad to feature real, attributed customer stories here as they come in.

Get control of your AI spend this week.

Instant access. Built for finance and engineering to run together.

Get the $500 Audit Toolkit