A clinical decision support tool presented at ASN Kidney Week 2026 brings chronic kidney disease identification and guideline-based treatment recommendations into primary care electronic health records. The described workflow automates CKD recognition, risk classification, and next-step recommendations. The goal is to reduce missed CKD diagnoses and improve consistent management in settings where lab interpretation and guideline navigation can be inconsistent. For health-system stakeholders, the deployment approach matters: embedding risk calculations and recommendations directly into clinical records is designed to lower friction and shorten time-to-action. What to watch: validation metrics on real-world uptake, alert burden, and downstream improvements in staging and treatment.