Our mission: Organizing agentic environments for human thriving.
The foundation develops open protocols and standards for governing AI agents in production—ensuring human agency remains viable as automation scales.
Explore the Foundation →Whether you're deploying agents in production or exploring the framework—find what you need.
Take the Confidence AssessmentDiagnostic tools for teams • Interactive frameworks for researchers
Diagnostic tools and support for organizations bridging pilot to production
Frameworks, interactive tools, and ongoing research to explore
Where are you stuck? Most teams discover their deployment blockers aren't technical—they're operational.
15 questions • 10 minutes
Most teams discover their deployment blockers aren't technical—they're operational. This assessment identifies what's preventing your agents from reaching production.
12 questions • 8 minutes
Can your organization explain how agent decisions are monitored, audited, and stopped if needed? This assessment reveals structural gaps before they become incidents.
For CISOs, Chief Legal Officers, and AI leaders responsible for deploying autonomous systems in production.
Authority moves at machine speed. Accountability doesn't. These frameworks address the structural gap between where decisions happen and where responsibility lives.
The academic foundation. How runtime oversight becomes part of how AI systems run—continuously generating trust signals about agent behavior and decision quality.
Read Paper →For teams deploying AI agents to production. Explains how organizations give engineering, legal, and operations the confidence to approve deployment.
Coming soon
Explore the organizational mechanics. These aren't diagrams—they're working models of how responsibility, authority, and accountability function in agentic environments.
Where authority to intervene, obligation to answer, and continuity over time converge.
Coming soonWhy pure DAO and pure hierarchy both fail for agentic AI. The hybrid model explained.
Coming soonTrust baselines, acceptable risk, and governance ownership—the three decisions that define agentic deployment.
Coming SoonWe're building this framework with practitioners. Substack is where we work through problems in real-time—no hype, no fear, just clear thinking about hard problems.
When AI acts, who is responsible? A series exploring how organizations must redesign management, governance, and trust for agentic environments.
This series is seeding a book: The Agentic Organization: Rethinking Management, Governance, and Trust in the Age of AI
Read the Series →Additional assessments, compliance checklists, and calculators to help teams deploy agents safely.
Score multiple AI pilots across risk dimensions. Identify which agents are ready for production and which need work.
INTERACTIVE TOOLTrack compliance across key frameworks:
Calculate the real cost of AI governance: oversight headcount, review cycles, incident response, and compliance burden.
CALCULATORBe the first to know when these tools launch
Our mission: Organizing agentic environments for human thriving.
The foundation develops open protocols and standards for governing AI agents in production—ensuring human agency remains viable as automation scales.
Explore the Foundation →