# Why deterministic policies break down for AI agents

DevFeed: [Why deterministic policies break down for AI agents](<https://devfeed.tech/articles/why-deterministic-policies-break-down-for-ai-agents-15996.md>)

Original publisher: [Read original article](<https://workos.com/blog/ai-agent-governance-why-deterministic-policies-break-down-for-ai-agents>)

Author: WorkOS

Published: 2026-08-06T00:00:00Z

Content type: opinion

Language: en

Sources: [WorkOS Blog](<https://devfeed.tech/sources/workos-blog.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [data](<https://devfeed.tech/tags/data.md>), [policy](<https://devfeed.tech/tags/policy.md>)

## AI overview

The article argues that AI agent governance problems often stem from missing decision records and weak enforcement rather than a need for more AI judgment. Prompts and static tool manifests can be interpreted or lack necessary conditions, making policy compliance difficult to prove.

## Source excerpt

n AI agent governance, most cases that look like they need AI judgment actually need better data. What's genuinely left over is smaller, and a model's refusal still isn't the same as a policy's.