App Compliance Guide
AI app compliance guide
AI app compliance guide for teams handling model features, user data disclosures, and app store review expectations.
Overview
AI products introduce additional disclosure complexity because model behavior, data inputs, and feature outputs can evolve quickly.
Teams need clear policy language and review-ready explanations for how AI features process and use user data.
Why this matters
AI feature updates without compliance updates can create mismatch between real behavior and store disclosures.
Step-by-step checklist
- Document AI feature scope and user data inputs per workflow.
- Update privacy and terms language for model-driven interactions.
- Review generated content and moderation responsibilities.
- Disclose third-party AI providers and processing roles where relevant.
- Align app store metadata claims with actual AI capabilities.
- Prepare reviewer notes for sensitive or high-impact AI features.
Common mistakes
- Using broad AI claims in metadata that app behavior cannot support.
- Omitting third-party provider disclosure in policies.
- Not updating compliance text after prompt or model changes.
How LogicSpring helps
LogicSpring gives teams a practical app compliance workflow for policy generation, review preparation, and rejection remediation across App Store, Google Play, and China Android app stores.