$19
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Azure AI FinOps Query Pack - 12 Production-Tested KQL Queries

$19
# Azure AI FinOps Query Pack - 12 Production-Tested KQL Queries

**One query just saved you $1,836/month. That's 97× what this pack costs.**

## What You Get

**12 copy-paste KQL queries** that find Azure OpenAI waste in your production environment - tested on 31,000+ resources across 44 subscriptions in enterprise environments.

### The Queries

1. **Find Zombie Fine-Tuned Models** → $1,836/month waste per model
2. **Calculate Chargeback by Application Tag** → CFO-approved accuracy
3. **Detect Output-to-Input Ratio Outliers** → 62% cost reduction opportunity
4. **Track AI Spend Across 40+ Subscriptions** → Enterprise visibility
5. **Identify Error Rate Overhead** → Find 15% waste from retries
6. **Fine-Tuning ROI Calculator** → Justify the $1,836 fee... or kill it
7. **Monthly AI Cost Trends** → Budget forecasting
8. **Model Usage Distribution** → Right-size your models
9. **Peak Usage Hours** → Capacity planning for PTU
10. **Untagged AI Resources** → Enable accurate chargeback
11. **Context Window Utilization** → Token efficiency analysis
12. **Cross-Subscription Cost Aggregation** → Executive rollup

## Why This Works

**These queries are production-tested, not tutorial-tested.**

Built to handle enterprise-scale infrastructure:
- 30,000+ resources across 40+ subscriptions
- Complex tag schemas with semantic inconsistencies
- Multi-domain Active Directory environments
- FinOps requirements where executives demand answers

### The Reality

Consultants charge $5,000 for an assessment that tells you "you have zombie resources."

This pack gives you the **EXACT query** that finds them, costs $19, and runs in 30 seconds.

These queries were built debugging real production incidents—like finding 4 forgotten fine-tuned models bleeding $7,344/month from dev subscriptions. One query found all four. Deleted them that day.

## What Customers Are Finding

- **Healthcare system:** 4 idle models = $7,344/month waste (found in 3 minutes)
- **Financial services:** 12:1 output ratio chatbot = $5,200/month excess (fixed with `max_tokens: 150`)
- **Tech company:** $12,400/month untagged AI resources (now allocated correctly)

## What's Included

✅ **12 Copy-Paste KQL Queries** - Enterprise-scale tested on 31,000+ resources  
✅ **Real-World Examples** - Actual savings from enterprise production environments  
✅ **Complete Instructions** - How to run each query in Azure Portal  
✅ **Step-by-Step Guide** - From running the query to implementing fixes  
✅ **30-Day Implementation Checklist** - Prioritized action plan  
✅ **Lifetime Updates** - New queries as Azure pricing changes, GPT-5 included  

## Expected ROI by Organization Size

**Small (1-5 subscriptions, <$10K/month AI spend):**
- Typical findings: 1-2 zombie models, unoptimized ratios
- Expected savings: $2,000-$5,000/month
- **First-year ROI: 1,263×** ($60K savings / $19 cost)

**Mid-Size (5-20 subscriptions, $10K-$50K/month):**
- Typical findings: 3-5 zombie models, poor model selection, high error rates
- Expected savings: $5,000-$15,000/month
- **First-year ROI: 3,158×** ($180K savings / $19 cost)

**Enterprise (20+ subscriptions, $50K+/month):**
- Typical findings: 5-10 zombie models, untagged resources, inefficient capacity
- Expected savings: $15,000-$30,000/month
- **First-year ROI: 9,474×** ($360K savings / $19 cost)

## 100% Money-Back Guarantee

**If ONE query doesn't save you at least $100, instant refund.**

No questions asked. No hoops to jump through.

Just email proof that you ran the queries and found <$100 in savings, and I'll refund your $19 immediately.

## How to Use

1. **Download the PDF** (instant delivery)
2. **Run Query #1** (Find Zombie Fine-Tuned Models) - takes 2 minutes
3. **Export results** to CSV
4. **Share with your team** to validate deletions
5. **Delete zombie models** and track savings
6. **Run remaining queries** over next 2 weeks
7. **Report total savings** to leadership

Most customers find their first $1,000+ in savings within 30 minutes.

## The Alternative

Keep using the Azure Portal's basic cost reports.

Spend 10 hours manually correlating Cost Management exports with Resource Graph data every time the CFO asks "where's our AI money going?"

Or run Query #2 and get a perfect chargeback report in 30 seconds.

**Your choice.**

## About the Author

**David Swann, Azure Architect**

I manage 44 Azure subscriptions with 31,000+ resources including Azure OpenAI deployments at enterprise scale.

These queries were built solving real production problems—not from tutorials or theory.

Every query in this pack has saved actual money in actual production environments.

## Frequently Asked Questions

**Q: Do I need advanced Azure knowledge?**  
A: No. If you can navigate the Azure Portal, you can run these queries. Complete instructions included.

**Q: Will this work with my Azure environment?**  
A: Yes. These queries work with any Azure subscription that has OpenAI resources deployed.

**Q: What if I don't have Azure OpenAI deployed yet?**  
A: These queries still provide value for planning and cost modeling before deployment.

**Q: Are updates really free forever?**  
A: Yes. As Azure pricing changes or new models launch (GPT-5, etc.), you get updated queries at no cost.

**Q: What if I need help running a query?**  
A: Email support included for 90 days. I'll help you interpret results and troubleshoot any issues.

## Launch Pricing

**Regular Price:** $29  
**Launch Price:** $19 (save $10)  
**Launch ends:** January 31, 2026

Get the pack now at launch pricing before it increases to $29.

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Built by an Azure architect for Azure architects.

Stop the AI cost bleed today.
I want this!

**12 copy-paste KQL queries** that find Azure OpenAI waste in your production environment - tested on 31,000+ resources across 44 subscriptions in enterprise environments.

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