Digitalization of Product Development and the Shopfloor – Part 2

Digitalization of Product Development and the Shopfloor – Part 2
Transforming PPAP into the Foundation of Shop-Floor Digitalization,
Including Data Transfer Strategies

Time:

Mar 26, 2026 11:00AM EST

Speakers:

Chad Kymal, Antony John

Description:

Transforming PPAP into the Foundation of Shop-Floor Digitalization, Including Data Transfer Strategies

What if you could submit every PPAP package with complete confidence — knowing no characteristic was missed, no linkage was broken, and no hidden risk was overlooked?

PPAP volume and complexity are increasing rapidly — while OEMs expect near 100% review coverage, faster approvals, and zero missed risks. Manual cross-document validation across ballooned prints, DFMEAs, PFMEAs, Control Plans, dimensional layouts, and supporting evidence is no longer scalable. Reviewer fatigue, compressed launch timelines, and disconnected systems increase the risk of errors, delays, warranty exposure, and customer escalations.

In this session, we explore how AI-powered PPAP validation transforms PPAP from a static compliance package into a structured, intelligent digital asset — forming the backbone of shop-floor digitalization.

Using PPAPValidator.AI, organizations can automatically validate cross-document consistency, detect missing characteristics, identify weak risk linkages, and highlight compliance gaps before submission. AI agents analyze drawings, FMEAs, Control Plans, inspection plans, and dimensional reports to ensure logical, numerical, and structural alignment across the entire PPAP package.

Beyond review automation, this webinar will also address data transfer strategies that convert approved PPAP data into live shop-floor controls — enabling real-time inspection capture, SPC monitoring, and continuous risk feedback into FMEA updates.

The result: faster PPAP approvals, reduced manual review effort, improved first-time quality, and measurable reduction in customer issues and warranty risk.

Key Takeaways:

  • How AI validates cross-document consistency across Prints, DFMEA, PFMEA, Control Plans, and Dimensional Layouts
  • How to achieve near-100% PPAP review coverage without increasing manpower
  • How AI detects missing characteristics, weak risk controls, and compliance gaps before submission
  • Data transfer strategies to connect PPAP outputs directly into inspection sheets and SPC systems

Speakers

Chad Kymal 

Chad Kymal
CTO and Founder - Omnex Inc.

Chad Kymal is the CTO and founder of Omnex Inc., an international consulting, training, and software organization headquartered in the United States.

Experience

  • Chad is a member of ISO TC 176, TC 207, Functional Safety and AS 9115 for Software Quality.
  • He is a Principal Assessor and a trainer for intacs® certified ASPICE courses.
  • He has published numerous papers and six books about Management Standards and Quality.
  • He has conducted hundreds of audits in many different sectors from Aerospace to Steel to Distributors to Electronics and Semiconductors in North America, Asia, and Europe in the last 20 years.
  • Chad assesses and works in automotive systems, hardware, and software for Agile, ASPICE, Cybersecurity and Functional Safety ISO 26262.
  • He is on the writing committee of ISO 26262 3rd edition as a US representative on Part 6.

Antony John 

Antony John
Vice President, Global Operations - Omnex Systems

Based in Ann Arbor, Michigan, overseeing worldwide operations and the Omnex Training & Consulting division across the Americas. With over 25 years of global experience, he has led digital transformation and product innovation across automotive, aerospace, semiconductor, oil & gas, and insurance industries.

An AI Solution Strategist, enthusiast, and Product Owner of O-BOT, Antony drives Omnex’s AI initiatives including the evolution of EQMS.AI and the development of the O-BOT AI Platform. His leadership has driven the development of breakthrough solutions, including the AI PPAP Reviewer, FMEA AI, AutoAssessorPro.AI, and Agentic AI Systems, which empower organizations to accelerate quality, compliance, and operational excellence through the use of AI.