Beyond Autonomy: A Dynamic Tiered AgentRunner Framework for Governable and Resilient Enterprise AI Execution
Kai Pan, Rong Hou
Why It Matters
What makes this one worth your time
This work addresses critical gaps in current AI frameworks by enhancing safety and efficiency, making it relevant for enterprises looking to deploy AI responsibly.
A framework for governable and resilient AI execution in enterprises.
Summary
The paper proposes the Dynamic Tiered AgentRunner framework, which introduces mechanisms for governability and resilience in enterprise AI execution by adapting resource allocation and review processes based on task risk profiles.
Key contributions
- Development of a Risk-Adaptive Tiering mechanism for dynamic resource allocation based on task risk.
- Implementation of a Separation of Powers architecture for independent task management.
- Establishment of a Verifier-Recovery closed loop to enhance system resilience.
Notable insights
- The introduction of Risk-Adaptive Tiering allows for a nuanced approach to resource allocation that could significantly improve operational efficiency.
- The Separation of Powers architecture could mitigate risks associated with high-stakes AI operations by ensuring independent oversight.
Possible limitations
- Not stated in the abstract.
Abstract
arXiv:2605.10223v1 Announce Type: new Abstract: Current large language model agent frameworks prioritize autonomy but lack the governability mechanisms required for enterprise deployment. High-risk write operations proceed without independent review, complex tasks lack acceptance verification, and computational resources are allocated uniformly regardless of risk level. We propose the Dynamic Tiered AgentRunner, a controlled execution protocol distilled from a production-grade multi-tenant SaaS platform. The framework introduces three core mechanisms: (1) Risk-Adaptive Tiering that dynamically allocates computational resources and review intensity based on task risk profiles, achieving Pareto-optimal trade-offs between safety and efficiency; (2) Separation of Powers architecture where proposal, review, execution, and verification are performed by independent agents with physically isolated boundaries; and (3) Resilience-by-Design through a Verifier-Recovery closed loop that treats failure as a first-class system state. We formalize the tier selectio