One of the key advantages of using Hyperleap AI is the ability to customize granular permissions for team members based on their roles and responsibilities within the group or function they belong. This allows you to streamline workflows and enhance productivity across your organization.

Tailored Access for Each Role

Hyperleap AI provides tiered permissions for Admin, Manager, Editor, User and Guest roles within each Workspace. Each role has access to specific features and actions.

Actions 👇 \| Workspace Roles 👉	Admin	Engineer	Reader	Guest
Run Prompt	Yes	Yes	Yes	Yes
Read Prompt Details	Yes	Yes	Yes	No
Add Prompts, Versions	Yes	Yes	No	No
Enable/Disable API + Change Default	Yes	No	No	No
Edit Existing Versions + Archive/Unarchive Prompt/Versions	Yes	No	No	No
Delete a Prompt	Yes	No	No	No
Workspace Management	No	No	No	No

Admins have full access to manage prompts, versions, enable APIs and more
Engineers can run prompts, add new prompts and versions, but cannot edit existing prompt versions.
Users can only run prompts or read the prompt details.
Guests have limited access and can only run the prompts.

These roles enable you to provision access based on individual responsibilities within a team. Apart from the roles above, every workspace has a Workspace Owner who can perform all the actions that an Admin can, plus they can also manage the Workspace if needed. The user who creates the Workspace is the initial Workspace Owner, although, the ownership can later be transferred to another member of the Workspace.

Typically, the person leading a product, or a division can be an Admin, whereas the various members of their team, can be Engineers. Leadership team/management can be Readers of the Workspace, but not be able to edit any details. Guests are team members who are invited into a Workspace solely to be able to run the prompts and leverage them in their role.

Promoting Accountability

Collaboration is key for teams to work efficiently and deliver results. However, unclear responsibilities and lack of structure can hamper productivity. Hyperleap AI granular permissions model streamlines collaboration by clearly defining roles and access.

Well-defined user roles make responsibilities clear. For example, (Prompt) Engineers can focus on creating prompts, while approvers are empowered to review and enable the prompts and APIs. Regular users of the Workspace can merely run the prompts or read their details. Admins on the other hand have full control over all the prompts in the Workspace.

Accountability ensures the right people are focused on the right tasks.