Here’s a scenario that should make any quality leader in pharma or medical devices uncomfortable: A software team building a diagnostic support tool uses an AI coding assistant to generate a data-processing module.

For more than 30 years I’ve audited management systems in manufacturing, automotive, laboratory, service, and nuclear environments. During that time I’ve watched internal auditing change shape several times. Paper checklists gave way to process-based auditing.

The food manufacturing industry has spent the last two years trying to figure out where AI fits: Vision inspection systems? Predictive maintenance? Yield optimization? Contamination detection?

The pressure is on. Throughout industries and regions, organizations are being asked the same question—not whether they care about the environment, but what they are doing about it.

A significant change in ISO 9001:2026 involves separate actions to address risks and opportunities.

Digital transformation and technologies such as artificial intelligence or the internet of things (IoT) aren’t just changing our society; they’re revolutionizing how we do business.

Corrective and preventive action (CAPA) is the backbone of any quality management system. It’s where problems get solved, risks get reduced, and processes become more robust. Yet in many organizations, CAPA has become little more than a documentation exercise.

Digital transformation has stopped being a trend and become a condition for competitiveness.

Growth has a way of outpacing the quality systems built to support it: more products, more sites, more users, more regulatory requirements, and the quality team is expected to absorb all of it.

The FY 2027 White House budget proposal is not only a fiscal plan but a change in national quality architecture.