AI Applied Radar: AI Applied To Quality Management

Access this research

Access all Digital Transformation Leaders content with a strategic subscription or buy this single report

Need help or have a question about this report? Contact us for assistance

Executive Summary

This report provides a comprehensive assessment of AI-augmented use cases for quality management, enabling relevant leaders to assess each use case’s trustworthiness, business value and operational viability. The Verdantix AI Applied Radar evaluates an array of AI-driven solutions, utilizing proprietary information obtained from expert interviews, global surveys and technical review. Verdantix segmented use cases based on level of market adoption, spanning mainstream and commercialized applications such as using AI to automatically detect, classify and prioritize non-conformance events, to emerging areas such as using agentic tools to advance quality workflows with limited human intervention. The Radar provides actionable insights for quality, product and operations leaders seeking scalable, high-impact AI adoption, as well as examples of vendors offering out-of-the-box AI capabilities.
Introducing the AI Applied Radar analysis
Methodology overview
Identifying the three critical pillars of compelling AI use cases
Assessing the market adoption phase of AI use cases
AI Applied Radar: quality management
Figure 1. AI Applied Radar for quality management
Figure 2. Description of AI-augmented use cases
Figure 3. AI Applied Radar use case groupings

About the Authors

Entesar Khalil

Entesar Khalil

Industry Analyst

Entesar is an Industry Analyst in the EHSQ team at Verdantix, delivering research on quality management technologies and the market trends shaping modern EHSQ functions. Speci...

View Profile
Chris Sayers

Chris Sayers

Senior Manager

Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in ...

View Profile

Other related content

Webinar
AI Platforms & Applications
Digital Transformation Leaders
Industrial Analytics & Data Management
Predictions 2027: Artificial Intelligen...

Upcoming / 28 January, 2027

Webinar
Manufacturing Operations Management
Industrial Transformation Leaders
Industrial Design Engineering Software
Industrial Analytics & Data Management
Field Services Management
Digital Transformation Leaders
Asset Performance Management Software
Asset Maintenance Software
AI Platforms & Applications
Predictions 2027: Industrial Transforma...

Upcoming / 26 January, 2027

Webinar
Quality Management Software
Process Safety Management Software
EHSQ Corporate Leaders
EHS Specialist Software
EHS Software & Services
Predictions 2027: EHS & Quality

Upcoming / 19 January, 2027

Webinar
AI Platforms & Applications
Digital Transformation Leaders
How To Sell Software To AI-First Buyers...

Many software vendors are watching buyers build custom AI agents and wondering whether to be worried. The data is instructive: 82% of survey respondents say advances in AI coding h...

Upcoming / 21 October, 2026

Webinar
Quality Management Software
Manufacturing Operations Management
Industrial Transformation Leaders
Industrial Design Engineering Software
Industrial Analytics & Data Management
Digital Transformation Leaders
Asset Maintenance Software
AI Platforms & Applications
Intelligent Manufacturing In 2027: How ...

Manufacturing is entering a new phase of transformation. Investment in AI, computer vision and connected technologies is accelerating, shaped in part by the renewed push toward dom...

Upcoming / 20 October, 2026

Blog
Digital Transformation Leaders
Finland's Google Halt Exposes Contradic...

On September 9, 2026, Google announced it was planning to invest at least €13 billion ($15 billion) in AI infrastructure in Finland to fund three new data centres and expand an e...

14 October, 2026