Strategic Focus: The Role Of AI In Quality Management
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Executive Summary
Quality management is a critical business function across multiple industries, ensuring regulatory compliance and driving customer satisfaction. Recent advancements in AI have created a number of opportunities to integrate this technology into the function. These range from streamlining traditionally manual processes, to providing more granular insights that enhance decision-making capabilities. However, some firms continue to express scepticism around current use cases and are uncertain whether their existing data and technology stacks are adequate for AI to flourish. This report highlights some popular AI quality management use cases and various industries that have applied them to their processes. It considers both the benefits of AI in this area, and the drawbacks that may hinder widespread adoption.
Figure 1. Prominent quality-based AI use cases
Figure 2. Breakdown of quality management software (QMS) vendors offering AI use cases
Figure 3. Barriers to successful AI adoption for quality management
Figure 4. Adoption of quality management AI use cases over the next two years
About the Authors
Zain Idris
Industry Analyst
Zain is an Industry Analyst specializing in EHS digital strategy and corporate spending trends. His research examines how firms are positioning their EHS budgets, considering ...
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Nathan Goldstein
Senior Manager
Nathan is a Senior Manager at Verdantix, specializing in EHS software and the convergence of sustainability, EHS and operational risk. He leads research that helps corporate d...
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