PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
Researchers have developed PolicyGuide, a system to ensure that large language model (LLM) agents comply with organizational policies. This is achieved by compiling each policy into a workflow graph and using a proactive verifier to guide the agent through multi-step procedures. In tests on three domains - airline, retail, and telecom - PolicyGuide improved mean compliance from 42% to 62%, with the largest gain in telecom. The system was also effective with different LLM agen
Researchers have developed PolicyGuide, a system to ensure that large language model (LLM) agents comply with organizational policies. This is achieved by compiling each policy into a workflow graph and using a proactive verifier to guide the agent through multi-step procedures. In tests on three domains - airline, retail, and telecom - PolicyGuide improved mean compliance from 42% to 62%, with the largest gain in telecom. The system was also effective with different LLM agents.
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Why it matters: This matters to AI researchers because it addresses a critical challenge in deploying LLMs: ensuring they follow organizational policies without compromising their functionality. Effective policy-compliance systems like PolicyGuide are essential for widespread adoption of these models in industries such as customer service.
Source: https://arxiv.org/abs/2608.19861
This article was originally published at: https://arxiv.org/abs/2608.19861