Reacting costs you more than you think. It’s really about predictive AI.

Most manufacturers are stuck reacting to quality issues, but breakthroughs comes from AI-powered Early Warning Systems that spot problems before they spread.

Download Article

In this article, Tony Gondick and Petchiraj Piramuthu explain why reactive quality management is no longer sustainable. Warranty claims drain 2–5% of revenue, while scattered data and delayed detection push manufacturers into costly firefighting. They show how AI-powered Early Warning Systems (EWS) transform this cycle — consolidating data, predicting failures earlier, and restoring customer trust.

Download the article to learn:

  • Why reactive approaches drive up warranty costs, recalls, and brand risk

  • How AI strengthens every stage of quality management — from detection to resolution

  • How one manufacturer cut cycle times from weeks to hours and boosted satisfaction from 30% to 83%

Don’t keep fighting fires. Safeguard margins and trust with predictive AI.

Get the full article now.