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arXiv · 2507.16459

Towards Enforcing Company Policy Adherence in Agentic Workflows

Naama Zwerdling·David Boaz·Ella Rabinovich·Guy Uziel·David Amid·Ateret Anaby-Tavor
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Abstract

Large Language Model (LLM) agents hold promise for a flexible and scalable alternative to traditional business process automation, but struggle to reliably follow complex company policies. In this study we introduce a deterministic, transparent, and modular framework for enforcing business policy adherence in agentic workflows. Our method operates in two phases: (1) an offline buildtime stage that compiles policy documents into verifiable guard code associated with tool use, and (2) a runtime integration where these guards ensure compliance before each agent action. We demonstrate our approach on the challenging $\tau$-bench Airlines domain, showing encouraging preliminary results in policy enforcement, and further outline key challenges for real-world deployments.

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Naama Zwerdling, David Boaz, Ella Rabinovich, Guy Uziel, David Amid, Ateret Anaby-Tavor. 2025-07-22. Towards Enforcing Company Policy Adherence in Agentic Workflows. https://arxiv.org/abs/2507.16459

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