Construction Quality Control: Spot Problems Before They Cost You with AI

Eyes Where You Need them, 24/7

A cracked tile. A missing beam. A misaligned finish. Small misses can mean big rework costs. AI Quality Control Agents can review videos, images and field data to spot issues early—before the inspector (or the client) does. 

What Does a Quality Control AI Agent Do?

It reviews field photos, checklists, and video walkthroughs using AI vision to spot issues it’s trained on.

Main Capabilities:

• Scans field photos/videos for known defects
  
  
• Flags incomplete or off-spec installations
  
  
• Checks task completion against schedule
  
  
• Generates QC reports with image markup
  
  
• Notifies foremen or PMs instantly
  
  

Why Traditional QC Is Slipping Through the Cracks

Field teams are moving fast. PMs can’t inspect every detail. Mistakes are costly—and often caught too late.

With an AI QC Agent, you:

• Prevent rework with early detection
  
  
• Save time on manual review
  
  
• Create a consistent QC process across teams
  
  
• Instantly share findings with subs and trades
  
  

Picture This…

Dean is a project manager reviewing site photos from two framing crews. The AI QC Agent notices inconsistent spacing on joist hangers in one zone. Dean and his crew get an alert before inspection, avoiding a delay and $2,000 in rework.

Keeping Money Away from the Cracks

Build it right the first time—with a second set of AI eyes. A QC Agent can help contractors enforce quality at scale. Book a walkthrough to see this in action with Revalate and learn more about how it will work in your workflow.

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