AI initiatives often stall because of fragile, ungoverned features, compliance hurdles, and misaligned priorities. Accuracy is prioritized over outcomes, leading to false positives, alert fatigue, and missed risks. Without retraining strategies, feedback loops, and adoption frameworks, even the most advanced models fail to deliver ROI. Add to that fragmented data environments and manual processes, and scaling becomes nearly impossible. evolv solves this by leveraging Snowflake’s cloud-native architecture to unify data, simplify governance, and accelerate AI/ML deployment.