Microsoft's Agent Factory and the governance gap in autonomous AI
Microsoft just released their Agent Factory framework, and it's forcing a rethink of how we approach AI governance. These aren't the AI tools…
The Perplexity problem: when AI assistants challenge web infrastructure assumptions
AI systems won't fit our old categories, and our legal frameworks haven't caught up yet.
Memory architectures that let AI agents learn from experience
The architectural shift to persistent, structured memory is happening now. Teams building these systems need to classify the memory types their agents require and define the associated governance policies upfront.
When AI agents break the principal-agent contract that built business
The most practical insight involves accepting that perfect solutions do not yet exist. Traditional agency mechanisms provide valuable frameworks for identifying problems and structuring solutions; however, new technical and legal infrastructure must evolve in tandem with the technology.
Even Google Needs Humans
Ruth Porat's human-in-the-loop mandate gives product teams a concrete framework for building agentic systems that users will trust and regulators will accept.
Decoding Agentic AI: A Guide to Autonomous Systems
After Stanford Law's agentic AI program, it was clear: companies are building autonomous capabilities faster than they can deploy them responsibly. This is part of a series exploring organizational frameworks that can keep pace with AI autonomy, which emerged from that program.
Technical Solutions for AI Agent Compliance: Traceability and Auditability
TL;DR: The rapid deployment of agentic AI systems across organizations has created an urgent need for comprehensive traceability and auditability fram…
Agents are redesigning work, not just doing it faster
Companies that succeed with AI agents aren't just automating tasks—they're choosing between rebuilding workflows around agents or adapting agents to existing human patterns. The key is knowing which approach drives adoption.
