AI Governance Framework - Tech & SaaS Edition

Overview

Platform AI governance is different. When your AI makes millions of decisions per second—moderating content, personalizing recommendations, detecting fraud—traditional governance approaches break down. You need frameworks designed for platform scale, global operations, and the unique responsibilities of building AI products.

This framework provides comprehensive governance for tech and SaaS companies. It addresses what makes platform AI unique and provides structures that work at scale.

What's Inside

• Why Tech/SaaS AI Governance Is Different: Scale challenges (millions of daily decisions), product integration (AI built into user-facing products), content responsibilities, global regulatory complexity
• Regulatory Landscape: EU AI Act implications for tech, Digital Services Act requirements, GDPR AI considerations, US state laws, global patchwork navigation
• Framework Architecture: Tech-adapted governance structure covering strategy, risk, compliance, ethics, and operations
• The 5 Pillars for Tech AI:
  • Strategy & Leadership adapted for tech speed and scale
  • Risk Management for platform AI (content, recommendation, generative)
  • Compliance for global multi-jurisdictional operations
  • Ethics for platform responsibility and societal impact
  • Operations for continuous deployment and rapid iteration
• Organizational Structure: Tech-appropriate governance roles and responsibilities
• Implementation Roadmap: Phased approach for tech organizations
• Platform-Specific Governance: Content moderation governance, recommendation system oversight, generative AI product governance
• API & Product AI Governance: Responsibilities when customers use your AI, API governance, model hosting considerations
• Governance Maturity Model: Tech-specific maturity levels and progression path
• Case Studies: Platform governance examples and lessons learned

Who This Is For

• Chief AI Officers at platform companies
• CTOs integrating governance into tech operations
• Chief Product Officers building AI products responsibly
• Trust & Safety Leaders governing content AI
• Platform Policy Teams developing AI policies

Why This Resource

Tech companies can't implement governance designed for banks or healthcare—the operating models are too different. This framework speaks tech language, addresses tech challenges, and provides governance structures that work at platform speed and scale.

Platform-specific sections address content moderation, recommendations, and API governance that generic frameworks ignore.

FAQ

Q: How do we govern AI that makes millions of decisions per second?

A: The platform-specific governance section addresses scale through automated governance controls, sampling-based review, anomaly detection, and escalation frameworks. You can't review every decision, but you can govern at scale.

Q: What about governance for AI products we sell?

A: The API & Product AI governance section covers responsibilities when customers use your AI—what documentation to provide, what monitoring you need, and how to handle customer AI issues.

Q: How do we handle multi-jurisdictional compliance?

A: The regulatory landscape and compliance sections provide frameworks for navigating global requirements—identifying where regulations apply, prioritizing compliance efforts, and implementing efficient multi-jurisdiction controls.