Many companies rush into AI projects, driven by hype and pressure to innovate. This often results in a chaotic, uncontrolled environment where various teams start their own initiatives without a shared strategy. This decentralized approach creates a "data disease" where projects spread quickly, leading to wasted resources, significant cost overruns from model usage, and eventual burnout for the developers involved. Without a centralized system for monitoring and management, there's no visibility into what's being built, what data is being used, or how much it's costing. This lack of governance can also open up security vulnerabilities and compliance issues, making it a major risk for the entire organization.