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Afrexai Ai Spend Audit

AI Spend Audit

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-ai-spend-audit

Inspect the source and compatibility requirements, then follow its installation steps.

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View source ↗Guides

Skill instructions

AI Spend Audit

Audit your company's AI spending — find waste, measure ROI, and right-size your tool stack.

When to Use

  • Quarterly AI budget reviews
  • Before renewing AI tool subscriptions
  • When AI spend exceeds 3% of revenue without clear ROI
  • Evaluating build vs buy decisions for AI capabilities

The Framework

Step 1: Inventory Every AI Line Item

Map all AI spending across these categories:

Category Examples Typical Waste
Foundation Models OpenAI, Anthropic, Google API keys 40-60% (unused capacity, wrong model tier)
SaaS with AI Salesforce Einstein, HubSpot AI, Notion AI 30-50% (features enabled but unused)
Custom Development Internal ML teams, fine-tuning, RAG pipelines 25-45% (duplicate efforts, over-engineering)
Infrastructure GPU instances, vector DBs, embedding compute 35-55% (over-provisioned, always-on dev instances)
Data & Training Labeling services, training data, synthetic data 20-40% (one-time costs recurring unnecessarily)
Step 2: Score Each Tool (0-100)

Usage Score (0-30)

  • 0: Nobody uses it
  • 10: <25% of licensed users active
  • 20: 25-75% active
  • 30: >75% active, daily use

ROI Score (0-40)

  • 0: No measurable business impact
  • 10: Saves time but no revenue/cost link
  • 20: Measurable cost reduction (<2x spend)
  • 30: Clear ROI (2-5x spend)
  • 40: High ROI (>5x spend)

Replaceability Score (0-30)

  • 0: Commodity (10+ alternatives at lower cost)
  • 10: Some alternatives exist
  • 20: Few alternatives, moderate switching cost
  • 30: Irreplaceable, deep integration

Action Thresholds:

  • Score 0-30: CUT — cancel immediately
  • Score 31-50: REVIEW — renegotiate or find alternative
  • Score 51-70: OPTIMIZE — right-size tier/usage
  • Score 71-100: KEEP — monitor quarterly
Step 3: Model Cost Optimization

For every API-based AI tool, check:

  1. Model Selection: Are you using GPT-4 where GPT-3.5 suff...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-ai-spend-audit
Version
—
Commit
3a6ee8c500cc6f125c205c8fa08b40f34c1adf05
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

AI Spend Audit

Score every AI tool in your stack (0-100), identify waste, right-size model tiers, and consolidate vendors. Includes 2026 benchmarks by company size, 90-day action plan template, and red flag checklist.

52% of companies now run AI as a core business strategy. Most of them are overspending by 25-50%.

What's Inside

  • 5-category spend inventory framework
  • Scoring system (Usage + ROI + Replaceability)
  • Model cost optimization checklist (caching, batching, tier downgrades)
  • Vendor consolidation mapping
  • Company size benchmarks ($2K-$1M+/month)
  • Industry-specific adjustments for 6 verticals
  • Board-ready audit report template

Quick Start

Install this skill, then ask your agent: "Run an AI spend audit on our current tool stack"

Links

Extracted content

SKILL.md
# AI Spend Audit

Audit your company's AI spending — find waste, measure ROI, and right-size your tool stack.

## When to Use
- Quarterly AI budget reviews
- Before renewing AI tool subscriptions
- When AI spend exceeds 3% of revenue without clear ROI
- Evaluating build vs buy decisions for AI capabilities

## The Framework

### Step 1: Inventory Every AI Line Item
Map all AI spending across these categories:

| Category | Examples | Typical Waste |
|----------|----------|---------------|
| **Foundation Models** | OpenAI, Anthropic, Google API keys | 40-60% (unused capacity, wrong model tier) |
| **SaaS with AI** | Salesforce Einstein, HubSpot AI, Notion AI | 30-50% (features enabled but unused) |
| **Custom Development** | Internal ML teams, fine-tuning, RAG pipelines | 25-45% (duplicate efforts, over-engineering) |
| **Infrastructure** | GPU instances, vector DBs, embedding compute | 35-55% (over-provisioned, always-on dev instances) |
| **Data & Training** | Labeling services, training data, synthetic data | 20-40% (one-time costs recurring unnecessarily) |

### Step 2: Score Each Tool (0-100)

**Usage Score (0-30)**
- 0: Nobody uses it
- 10: <25% of licensed users active
- 20: 25-75% active
- 30: >75% active, daily use

**ROI Score (0-40)**
- 0: No measurable business impact
- 10: Saves time but no revenue/cost link
- 20: Measurable cost reduction (<2x spend)
- 30: Clear ROI (2-5x spend)
- 40: High ROI (>5x spend)

**Replaceability Score (0-30)**
- 0: Commodity (10+ alternatives at lower cost)
- 10: Some alternatives exist
- 20: Few alternatives, moderate switching cost
- 30: Irreplaceable, deep integration

**Action Thresholds:**
- Score 0-30: **CUT** — cancel immediately
- Score 31-50: **REVIEW** — renegotiate or find alternative
- Score 51-70: **OPTIMIZE** — right-size tier/usage
- Score 71-100: **KEEP** — monitor quarterly

### Step 3: Model Cost Optimization

For every API-based AI tool, check:

1. **Model Selection**: Are you using GPT-4 where GPT-3.5 suff...
README
# AI Spend Audit

Score every AI tool in your stack (0-100), identify waste, right-size model tiers, and consolidate vendors. Includes 2026 benchmarks by company size, 90-day action plan template, and red flag checklist.

52% of companies now run AI as a core business strategy. Most of them are overspending by 25-50%.

## What's Inside
- 5-category spend inventory framework
- Scoring system (Usage + ROI + Replaceability)
- Model cost optimization checklist (caching, batching, tier downgrades)
- Vendor consolidation mapping
- Company size benchmarks ($2K-$1M+/month)
- Industry-specific adjustments for 6 verticals
- Board-ready audit report template

## Quick Start
Install this skill, then ask your agent: "Run an AI spend audit on our current tool stack"

## Links
- [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find your biggest automation ROI
- [Context Packs](https://afrexai-cto.github.io/context-packs/) — Industry-specific AI operations packs ($47)
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your AI agent stack in minutes

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