# AI Model Compliance

> Apply compliance controls to AI and automated decision systems — transparency, fairness, human oversight, documentation, and regulatory alignment. Use when deploying AI in regulated processes (credit, fraud, customer decisions) or responding to AI governance expectations.

- Skill: `itsual/ai-model-compliance` (Agent Skill)
- Install (CLI): `npx skillmds@latest add itsual/ai-model-compliance`
- Raw SKILL.md: https://api.skillmd.com/api/skills/itsual/ai-model-compliance/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: itsual (https://skillmd.com/u/itsual)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/itsual/ai-model-compliance

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# AI / Model Compliance

## Overview

AI compliance extends model and conduct obligations to machine-assisted decisions. It requires inventory, explainability proportionate to impact, monitoring for harmful outcomes, and clear human accountability.

## When to Use

- AI in credit, fraud, AML, marketing eligibility, or customer treatment
- AI governance policy and control design
- Regulatory or audit inquiries on automated decisions
- Vendor AI / LLM due diligence

## Core Practices

- Inventory AI systems and classify by decision impact
- Document purpose, data, limitations, and human oversight model
- Assess fairness and harmful bias where decisions affect individuals
- Monitor outcomes, drift, and incident patterns in production
- Ensure customers can obtain required explanations/appeals where mandated
- Contractually control vendor AI roles and data use

## Principles

- High-impact decisions need stronger governance than copilots
- “The model did it” is not an accountability answer
- Transparency requirements vary by use case and jurisdiction — design for the strictest material case you operate in
- Testing before launch is necessary; monitoring after launch is mandatory

## Verification

- [ ] High-impact AI systems are inventoried and owned
- [ ] Oversight, monitoring, and challenge processes exist
- [ ] Documentation supports exam and customer-facing duties