Vienna / AI Systems

Loren Angoni

AI Systems and Governance Architect, Vienna. Building runtime governance for AI agents in regulated environments. Open-source: fivedrisk.

Read my writing About me

Featured Writing

Systems, governance, and the decisions in between.

May 11, 2026

AI Governance Without Runtime Is Performative

Most AI governance does not constrain agent behavior at runtime. The runtime layer is the missing piece for deploying agentic AI at scale in high-risk or regulated environments.

9 min read ai-governance / runtime-governance / agentic-ai / eu-ai-act / dora / runtime-policy

April 11, 2026

AI Agent Approval Fatigue Is Real

If your coding agent asks for approval on every harmless action, people either turn it off or stop using the loop. The fix is not more prompts. It is a policy layer.

2 min read ai-agents / runtime-policy / coding-agents / governance

April 11, 2026

The Missing Layer in Autonomous Agents Is Runtime Policy

Teams trying to productionize autonomous agents usually do not fail because the model is weak. They fail because there is no clean policy layer between the agent and the tools it can trigger.

2 min read ai-agents / runtime-policy / autonomous-systems / governance

What I’m Exploring

5D and DotOS: runtime policy and the systems behind it.

I’m building a runtime policy engine for AI agents and the larger systems lab around it: approvals, tool boundaries, governance, memory, and what architecture makes longer autonomous loops trustworthy enough to use.

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