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Afrexai Ai Readiness

AI Readiness Assessment

1kalin0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

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skillhub install 1kalin/afrexai-ai-readiness

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

AI Readiness Assessment

Run a structured AI readiness audit for any organization. Scores 8 dimensions, identifies gaps, produces a prioritized 90-day action plan with budget ranges.

When to Use

  • Before investing in AI/automation tools
  • Board or leadership requesting AI strategy
  • Evaluating build vs buy decisions
  • Annual technology planning

How It Works

Score each dimension 1-5 (1=not started, 5=optimized):

1. Data Infrastructure (Weight: 3x)
  • Centralized data warehouse or lakehouse operational
  • Data quality monitoring automated (freshness, completeness, accuracy)
  • API-first architecture for core systems
  • Data governance policy documented and enforced
  • PII/PHI classification and access controls active

Score 1: Spreadsheets and siloed databases Score 3: Warehouse exists, some pipelines automated Score 5: Real-time streaming, quality >99%, full lineage

2. Process Documentation (Weight: 2x)
  • Top 20 revenue-impacting processes mapped end-to-end
  • Decision trees documented for each process
  • Exception handling paths defined
  • Time-per-task benchmarks established
  • Process owners assigned

Score 1: Tribal knowledge, nothing written down Score 3: Major processes documented, some outdated Score 5: Living documentation, updated quarterly, covers 80%+ of operations

3. Technical Talent (Weight: 2x)
  • At least 1 person understands ML/AI concepts at implementation level
  • Engineering team comfortable with APIs and integrations
  • DevOps/infrastructure person can deploy and monitor services
  • Data analyst can query and interpret model outputs
  • Security team understands AI-specific attack surfaces

Score 1: No technical staff beyond basic IT Score 3: Good engineering team, AI knowledge is theoretical Score 5: Dedicated AI/ML engineer, cross-functional AI literacy program

4. Budget & ROI Framework (Weight: 2x)
  • AI budget allocated (not pulle...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-ai-readiness
Version
—
Commit
30a9f312578088c8236a020fac22f3da0c679e6f
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

AI Readiness Assessment

Score your organization across 8 weighted dimensions. Get a clear readiness rating and a prioritized 90-day action plan — not a vague "you need AI" pitch.

What It Does

  • 8-dimension scoring — Data, Process, Talent, Budget, Change Management, Security, Integration, Strategy
  • Weighted formula — Security and data count more than buzzword alignment
  • Budget reality tables — By company size, with actual ROI timelines
  • 90-day action plan — Foundation → Pilot → Scale or Kill
  • Industry benchmarks — Know where you stand vs your sector (2026 data)
  • 7 assessment mistakes — Skip the expensive lessons others already learned

Who It's For

CTOs, VPs of Engineering, COOs, and anyone who got asked "what's our AI strategy?" in a board meeting.

Works for 15-person startups through 1000+ enterprises.

Quick Start

Tell your agent: "Run the AI readiness assessment for our company"

It'll walk through each dimension, score you, and produce the action plan.


Industry context packs ($47): https://afrexai-cto.github.io/context-packs/

AI Revenue Calculator (free): https://afrexai-cto.github.io/ai-revenue-calculator/

Agent Setup Wizard (free): https://afrexai-cto.github.io/agent-setup/

Built by AfrexAI — AI agent context for businesses that ship.

Contenu extrait

SKILL.md
# AI Readiness Assessment

Run a structured AI readiness audit for any organization. Scores 8 dimensions, identifies gaps, produces a prioritized 90-day action plan with budget ranges.

## When to Use
- Before investing in AI/automation tools
- Board or leadership requesting AI strategy
- Evaluating build vs buy decisions
- Annual technology planning

## How It Works

Score each dimension 1-5 (1=not started, 5=optimized):

### 1. Data Infrastructure (Weight: 3x)
- [ ] Centralized data warehouse or lakehouse operational
- [ ] Data quality monitoring automated (freshness, completeness, accuracy)
- [ ] API-first architecture for core systems
- [ ] Data governance policy documented and enforced
- [ ] PII/PHI classification and access controls active

**Score 1:** Spreadsheets and siloed databases
**Score 3:** Warehouse exists, some pipelines automated
**Score 5:** Real-time streaming, quality >99%, full lineage

### 2. Process Documentation (Weight: 2x)
- [ ] Top 20 revenue-impacting processes mapped end-to-end
- [ ] Decision trees documented for each process
- [ ] Exception handling paths defined
- [ ] Time-per-task benchmarks established
- [ ] Process owners assigned

**Score 1:** Tribal knowledge, nothing written down
**Score 3:** Major processes documented, some outdated
**Score 5:** Living documentation, updated quarterly, covers 80%+ of operations

### 3. Technical Talent (Weight: 2x)
- [ ] At least 1 person understands ML/AI concepts at implementation level
- [ ] Engineering team comfortable with APIs and integrations
- [ ] DevOps/infrastructure person can deploy and monitor services
- [ ] Data analyst can query and interpret model outputs
- [ ] Security team understands AI-specific attack surfaces

**Score 1:** No technical staff beyond basic IT
**Score 3:** Good engineering team, AI knowledge is theoretical
**Score 5:** Dedicated AI/ML engineer, cross-functional AI literacy program

### 4. Budget & ROI Framework (Weight: 2x)
- [ ] AI budget allocated (not pulle...
README
# AI Readiness Assessment

Score your organization across 8 weighted dimensions. Get a clear readiness rating and a prioritized 90-day action plan — not a vague "you need AI" pitch.

## What It Does

- **8-dimension scoring** — Data, Process, Talent, Budget, Change Management, Security, Integration, Strategy
- **Weighted formula** — Security and data count more than buzzword alignment
- **Budget reality tables** — By company size, with actual ROI timelines
- **90-day action plan** — Foundation → Pilot → Scale or Kill
- **Industry benchmarks** — Know where you stand vs your sector (2026 data)
- **7 assessment mistakes** — Skip the expensive lessons others already learned

## Who It's For

CTOs, VPs of Engineering, COOs, and anyone who got asked "what's our AI strategy?" in a board meeting.

Works for 15-person startups through 1000+ enterprises.

## Quick Start

Tell your agent: "Run the AI readiness assessment for our company"

It'll walk through each dimension, score you, and produce the action plan.

---

**Industry context packs ($47):** https://afrexai-cto.github.io/context-packs/

**AI Revenue Calculator (free):** https://afrexai-cto.github.io/ai-revenue-calculator/

**Agent Setup Wizard (free):** https://afrexai-cto.github.io/agent-setup/

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI agent context for businesses that ship.

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