Skip to main contentThis section provides the core tools and guidance to configure, secure, and manage your Contextual AI environment. Start here to establish a reliable, governed foundation for building and running contextual AI workflows.
Manage access with fine-grained, role-based permissions that control who can view, modify, and administer your Contextual AI resources. Use RBAC to enforce least privilege, streamline collaboration, and maintain strong governance across teams.
View and manage your organization’s subscription details, usage, and invoicing. This section explains how Contextual AI tracks consumption and helps you stay aligned with your plan as your workloads grow.
Learn how Contextual AI protects your data through enterprise-grade security controls, encryption, governance policies, and compliance certifications. This section outlines the safeguards that keep your contextual workloads secure and audit-ready.
Configure the LLMs.txt file to declare which models your organization uses, define model access rules, and ensure consistent behavior across environments. This section covers the file format, best practices, and how Contextual AI interprets these settings. 
