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ROI CalculatorAI in Quality is the use of machine-based systems to generate outputs such as predictions, recommendations, or decisions that support regulated quality activities. In FDA-regulated environments, AI is best treated as a decision-support layer inside the quality system. But it does not undermine the significance of the validated processes, documented rationale, and objective evidence.
In fact, the FDA’s Quality Systems Approach guidance requires modern quality systems and risk management practices aligned to cGMP expectations. ICH Q10 reinforces that an effective Pharmaceutical Quality Management System is grounded in ISO concepts and supports lifecycle control. ICH Q9 highlights risk-based decision-making as inherent to quality risk management.
