Framework
Bounded Agency of AI Systems
— A Framework for AI Governance
What Is Bounded Agency?
Bounded Agency is an institutional framework for understanding how authority migrates into automated systems — and what happens when governance mechanisms can no longer keep pace. Grounded in institutional economics and organizational theory, it provides the analytical foundation for measuring an organization's structural capacity to govern AI systems operating at machine speed.
What the BAL Score™ Measures
The Bounded Agency Limit (BAL) Score™ is a proprietary diagnostic metric that quantifies an organization's AI governance capacity across structural dimensions. Scored from 100 to 600, it identifies where governance architecture is intact, where it is drifting, and where intervention has become structurally infeasible.
Like credit ratings or ESG scores, the BAL Score™ provides a standardized, comparable measure — not a subjective audit. The methodology is proprietary. The interpretation is clear.
The Four Zones
Structural governance capacity is intact. The organization has the mechanisms, authority structures, and intervention capability to govern its AI systems effectively.
Autonomous authority is outpacing intervention capacity. Governance mechanisms exist but are structurally insufficient to match the speed and scope of AI decision-making.
Structural exposure is present and remediation is required. The organization faces governance gaps that create material risk under normal operating conditions.
AI systems are operating beyond reliable governance. Institutional intervention capacity has been structurally compromised.
Academic Foundation
The framework is grounded in peer-reviewed research. The foundational paper is available on SSRN.
Read the Paper on SSRN →Currently in private access. Request early access →