How We Reduced a 2-Day Manual Process to Under 1 Minute

🚨 The Problem In one of my previous projects (insurance domain), we had a recurring bottleneck: 👉 Creating test policies for different scenarios took 1–2 days per request. Why? Data had to be manually fetched from multiple systems Policies needed to match specific edge cases Teams raised tickets and waited for backend support This slowed down: QA testing Development cycles Release timelines It wasn’t scalable—and definitely not developer-friendly. 🤯 What Made It Hard At first glance, it seemed like a simple “data fetch” problem. But in reality: Data lived in mainframe systems Queries were complex and tightly coupled Each request had slightly different criteria Large datasets meant slow processing Also, everything was manual and repetitive. 💡 The Idea: Automate Everything We built an internal web application (let’s call it a policy generator system). Core idea: “If a developer can describe the data they need, the system should generate it automatically.” 🛠️ What We Built 1. Automat