Thought Leadership & Applied Research

AI Governance: Multi-Agent Governance Framework

A framework for governing systems of AI agents — how they're granted authority, how their actions are audited, and how humans stay meaningfully in the loop as autonomy scales.

Coming Soon

Full case study in progress

This page is reserved for a deeper look at my ongoing work on governance for multi-agent AI systems — the frameworks, decision rights, and safeguards that let autonomous agents operate at scale without losing accountability. Full write-up, artifacts, and outcomes will be added here shortly.

  • Problem framing and why multi-agent systems need distinct governance from single-model AI
  • The framework itself — roles, permissions, escalation paths, and audit mechanisms
  • How it applies to real product and platform decisions
  • Outcomes and what changed as a result