AI in Quality: From Reactive to Predictive

What if quality management could become more predictive?

Projects are growing in scale and complexity, but the way quality is managed has not always kept pace.

Issues are often discovered late, even though the conditions that create them may have been present much earlier. Traditional, document-driven quality management is reaching its limits, creating an opportunity to use digitalization and AI to move toward more predictive, prevention-based quality. But what does that actually look like in practice?

In this live webinar, we’ll explore how AI can support quality and APQP processes in the wind industry, from identifying risks and verifying documentation to supporting problem-solving and predictive analysis.

What you’ll take away

After this webinar, you'll have:

• A clearer understanding of AI, machine learning, generative AI, and AI agents and what they mean for quality professionals.
• An understanding of where AI can support the APQP4Wind journey and where human approval remains essential.
• Practical insight into how AI can be applied to quality, supplier, manufacturing, and project scenarios.
• A better understanding of the controls needed for data privacy, validation, traceability, and human oversight.
• Practical ideas for moving from an initial AI use case toward a controlled pilot.

See AI in action

We’ll move beyond theory and demonstrate how AI can be applied to real quality and APQP challenges in the wind industry.

AI FMEA Builder & Assessor
Draft and assess DFMEA/PFMEA using controlled knowledge sources.

AI Document Verifier
Verify documents and identify evidence-based findings.

Agentic 8D/A3
Use AI-guided problem clarification, root-cause analysis, actions, and standardization.

Predictive Analytics
Explore how machine learning can support predictive quality models and explain their results.

Who should join?

This webinar is designed for professionals working with quality, APQP, engineering, manufacturing, suppliers, projects, data, and AI in the wind industry. No coding or prior AI experience is required.

The session is particularly relevant for:

• Quality and APQP leaders
• Design, manufacturing, and supplier quality teams
• Quality engineers and auditors
• Project, digital, data, and AI professionals

AI with quality, not instead of quality

AI can open new possibilities for quality management, but effective adoption requires the right controls.

We’ll discuss practical considerations around:

• Data privacy
• Validation
• Traceability
• Human oversight
• Controlled implementation

The goal is not simply to explore what AI can do, but how it can be introduced responsibly into quality and APQP processes.

Meet your speaker

Kemal Dorak – Global Quality Leader and AI practitioner 

Bio

20+ years of experience in wind and automotive quality, with 8 years developing and implementing AI solutions. Kemal was also a speaker at the APQP4Wind Executive Forum.

Webinar details

DATE
October 6, 2026

TIME
10:00 - 11:30 AM CET

FORMAT
Live online

COST
Free 

Ready to explore AI in quality?

Join us on October 6 to explore practical AI applications for quality and APQP and discover how AI can help move quality management toward a more predictive, prevention-based approach.