> For the complete documentation index, see [llms.txt](https://angoor-ai.gitbook.io/angoor-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://angoor-ai.gitbook.io/angoor-ai/basics/images-and-media/policies.md).
# Policies
The Policies section under Account Management provides a comprehensive framework for managing user permissions and access control across your Angoor.ai workspace. Policies define what actions users can perform within specific modules and features.
## All Policy
The main dashboard displays all access policies with their scope and module assignments:
## Policy Logs
The Logs tab provides an audit trail of policy assignments and changes with filtering options:
## Policy Configuration
Click on select resource to access detailed configuration options.
### Permission Types
Each module supports four standard permission levels:
* **View:** Add new items or content.
* **Add:** Read-only access to existing content.
* **Change:** Modify existing items.
* **Delete:** Remove items permanently.
### Conditional Logic
Instead of maintaining dozens of separate policies for every possible user scenario, conditional logic consolidates complex permission structures into single, adaptive rules.
**Examples:** A sales team policy can automatically grant campaign creation rights only during business hours, restrict budget approvals to senior members, and limit client data access based on territory assignments all within one unified policy.
> Each module can have independent permission settings and conditional access rules.
