Supplier Quality 4.0: Modernizing Supplier Management Through Risk-Based Thinking and Digital Oversight

As global supply chains grow more complex and regulatory expectations continue to tighten, supplier quality management is undergoing a fundamental shift. Traditional, checklist-driven supplier qualification models are no longer sufficient. In their place,...

What Are the Risks of Using AI in Regulated Quality Systems?

Artificial intelligence is rapidly entering quality and regulatory functions across the life sciences industry. From document analysis and gap assessments to trend detection and compliance monitoring, AI offers meaningful efficiency gains. However, in regulated...

How Does AI Change the Role of QA and RA Professionals?

The short answer: AI does not replace QA or RA expertise. It reshapes it. When implemented correctly, AI reduces administrative burden, increases visibility, and elevates QA and RA professionals into more strategic, decision driven roles. The Traditional QA and RA...