See It, Train It, Trust It:

How AI Image Recognition Is Redefining Field QA

Fiber builds are accelerating, BEAD funding, data center demand, and hyper-scale network expansion are driving construction at a pace that manual photo review simply can't keep up with, leading to QA bottlenecks, inconsistent standards across contractors, and defects that surface at closeout instead of in the field.

In this session, Vitruvi is joined by Bam Broadband to unpack how AI image recognition is changing that equation: you'll see how Vitruvi's AI Image Inspector automatically evaluates field photos against your quality standards, flags issues at the moment of submission, and gets smarter the more your team uses it.

Key Takeaways 

• Why manual photo review breaks down past a certain build volume

• How AI inspection learns your standards — instead of relying on a generic model

• What customer-trained AI actually looks like after 20, 50, and 100+ reviews
  How more accurate, consistent field data connects to long-term asset quality

• A real-world account of onboarding, ROI, and day-to-day impact from a live Vitruvi customer

Speakers

Roni Darling — Data Operations Manager, Vitruvi Matthew

LeBoeuf — QA/QC Manager, Bam Broadband

Adrian Prescott — Project Manager, Vitruvi