How TechCorp Reduced Deployment Incidents by 73%

TechCorp, a fast-growing SaaS company with 50+ engineers, was experiencing frequent production incidents that were damaging customer trust and team morale. Their deployment process was manual, risky, and time-consuming. Teams were afraid to ship features on Fridays or before major holidays. The average time to recover from incidents was 50 minutes, causing significant downtime for customers. With multiple teams working on different features, coordination became a nightmare, and the risk of conflicts and bugs increased dramatically.

TechCorp implemented Feature Beam's AI-powered feature management platform with a focus on progressive rollouts and automated risk detection. They started by integrating Feature Beam into their CI/CD pipeline, allowing them to wrap new features behind flags automatically. The AI risk prediction engine analyzed code complexity, historical patterns, and deployment timing to provide real-time risk scores. Teams adopted a phased rollout approach: starting with internal users (1%), then moving to beta customers (10%), and finally to all users (100%). Automated rollback triggers were configured to monitor error rates, latency, and user behavior metrics.