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Procore Opens AI Go Beta for Voice Searches Across Job-Site Records

The public beta covers Procore’s Digital Coworker Starter, Pro and Enterprise plans. A separate Meta AI glasses integration remains in closed testing.

A gloved hand holds a phone beside construction drawings / TokenPost.ai
A gloved hand holds a phone beside construction drawings / TokenPost.ai

Procore opened a public beta of AI Go in North America, giving eligible construction teams a voice-based way to search project records from job sites through its mobile app.

Procore introduced the app Oct. 21 at Groundbreak 2026. The beta is open to North American customers with Digital Coworker Starter, Pro or Enterprise plans.

AI Go connects to project records stored in Procore and accepts spoken questions about requests for information (RFIs), submittals, drawings, specifications, daily logs, observations and inspection results. The app is designed to reduce the time crews spend manually looking through drawings and specifications for answers.

A one-tap control lets workers start a conversation when they need it, an approach suited to noisy job sites. Conversation histories remain on users’ devices for later reference.

Procore is also testing an AI Go integration with Meta AI glasses. Workers in the closed test can take first-person photos and use a voice prompt to retrieve related project information while continuing their work.

The company is developing tools to turn workers’ conversations and images into structured project records, including daily logs, observations and draft RFIs. A planned daily log agent would organize activity records, photos, labor data and site details, then flag missing or conflicting information before a report is finalized.

A planned site safety agent would help teams identify hazards, including potential fall risks. Procore and Moss Construction are also working on a study designed by SBK Technologies to assess whether AI agents, AI Go and wearable devices can reduce administrative work.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

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