Bad data pipelines are the silent killer of AI ROI. You can have the best model, the best prompt engineering, the best UX — and still get garbage outputs if the data feeding the system is inconsistent, stale, or poorly structured. We've seen 6-figure AI investments underperform because nobody audited the upstream data before deployment. Data architecture isn't glamorous. But it's where AI projects actually win or lose. We help businesses get this right before it gets expensive: koas-ai.services