System Settings
Edit on GitHubThis page is intended for Administrators who need to customize the appearance of the platform or configure its AI-powered features. The System tab is only visible to Admin users and is accessed from Account > System.
Co-Branding
The Co-Branding panel lets Admins display a custom logo in the Equalify interface, so the platform can reflect your organization's identity.Configuring co-branding
- Navigate to Account > System.
- In the Co-Branding panel, fill in the following fields:
- Logo URL: A direct link to your organization's logo image (e.g.,
https://example.com/logo.png). The URL must usehttps://. Leave this field blank to remove the logo.
- Logo Alt Text: A short description of the logo for screen readers (e.g., "University of Illinois Chicago logo"). Always provide alt text when a logo is set.
- Logo Size: Use the slider or number input to set the display size of the logo in pixels. The size must be between 32 and 150 pixels.
- Settings are saved automatically as you type — there is no Save button.
💡Tip: Always provide meaningful alt text for your logo. A logo without alt text creates an accessibility barrier for users who rely on screen readers — which is especially important for an accessibility platform.
⚠️Important: Equalify cannot host your logo image. The Logo URL must point to an image already published on a publicly accessible server. If the URL becomes unavailable, the logo will stop displaying.
LLM Blocker Summaries
The LLM Blocker Summaries panel controls whether Equalify generates AI-powered explanations and fix instructions on Issue Detail pages (see 3-2: Audit Report Detailed View). These summaries are generated using AWS Bedrock and are cached in the database after the first request.Enabling or disabling AI summaries
- Check Enable LLM summaries to turn the feature on for all users in the workspace.
- Uncheck it to disable all AI summary generation site-wide. Existing cached summaries will no longer be displayed while the feature is off.
Choosing a model
The Bedrock model dropdown lists the AWS Bedrock foundation models available in your region that support on-demand inference and text output. Select the model you want Equalify to use when generating summaries.⚠️Important: Changing the model takes effect immediately for new or refreshed summaries. Existing cached summaries are not automatically regenerated — users can click "Reload summary" on an Issue Detail page to generate a fresh summary with the new model.
💡Tip: If the model list is empty, verify that your AWS Bedrock configuration grants access to at least one foundation model in the correct region.