Libraries receive a large volume of system alerts, job notifications, and user activity updates across Alma and Primo. Currently, many notifications are generic and require manual filtering, which can lead to missed critical issues or delayed responses.

I propose introducing AI-powered smart notifications that automatically prioritize, categorize, and summarize alerts based on library workflows and staff roles.

How It Would Work

Use AI to analyze system events and user behavior patterns

Automatically flag high-priority issues (e.g., failed jobs, access problems, unusual usage drops)

Deliver role-based notifications (e.g., acquisitions, cataloging, systems librarians)

Provide short, human-readable summaries instead of long system messages

Benefits

Reduces alert fatigue for library staff

Improves response time to critical system issues

Enhances operational efficiency without changing existing workflows

Makes Alma and Primo more intuitive for both new and experienced users
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