On-Demand Panel

What does it take to get AI past the pilot stage and onto the plant floor?

Leaders from HARMAN and FORVIA HELLA share which use cases are paying off on the plant floor and what it takes to scale them across lines, plants, and regions.

Pilots to repeatable results. How HARMAN went from one lighthouse site to a global electronics manufacturing network.

Uptime, throughput, quality. The AI use cases that are moving OEE 6 to 8 points.

Readiness before rollout. What has to be in place before AI can scale across a global plant network.

Labor, solved differently. How AI, automation, and robotics address labor constraints in electronics manufacturing.

Watch the Panel

Inside

HARMAN’s four-site results, FORVIA HELLA’s approach to AI-driven root cause on SMT lines, and what structurally needs to be in place before a use case scales.

Trusted on the floors of

The Panel

Results from the floor, discussed live.

The journey AI has put us on is about improving the factory—how do I find the self-improving factory?

Moderator

Tim Burke

CTO & Co-founder, Arch Systems

AI is not going to take your job, but people that use AI will take your job.

Panelist

Don Barnes

Vice President of Manufacturing Excellence, HARMAN Automotive

You have to have a vision as a whole corporation to really make sure the organization sees the benefit and the value creation.

Panelist

Sven Hoenecke

President and CEO, FORVIA HELLA Electronics, Americas

Measuring Impact

Results that hold up at the next site.

HARMAN started with a lighthouse deployment in Suzhou, China, then scaled the Arch Factory Intelligence Platform across its global network. Here’s what changed.

~30%

growth in total placements across four manufacturing sites

improvement in Defects Per Million Units performance

6–8pp

percentage-point improvement in OEE across multiple sites

Read the Scaling Factory Intelligence with Agentic AI, HARMAN case study →

Root Cause at Speed

Downtime nobody can explain can’t be fixed.

Automotive leaders are piloting real-time downtime labeling and AI-driven root-cause analysis across its SMT lines. Every stoppage gets a reason, and every reason points to a fix. That’s the groundwork a quality-driven production environment needs before AI can scale beyond one plant.

Implementation