PolicyAI is an infrastructure tool designed for Trust & Safety teams to operationalize LLM content labeling/ content moderation. Using PolicyAI, your platform-specific written guidelines and golden datasets become active, high-accuracy classifiers, replacing black-box solutions with a transparent governance layer that puts practitioners back in control.
We built PolicyAI to support sophisticated, multi-policy workflows, allowing you to manage versioning, run tests against ground truth, and rapidly iterate on policies without engineering bottlenecks. From maintaining golden datasets to spotting gaps in enforcement, PolicyAI provides the oversight needed to ensure automated decisions genuinely reflect your platform’s unique standards.
Creating policies
Understanding PolicyAI for Organizations
Creating and managing Tagged policies
Testing policies
All about Golden Datasets and Evaluating Policies and Models
How to test your policies and interpret initial results
How to iterate policies and look at variable results
Reviewing metrics and going live