New Procore AI Experience Embeds Datagrid into Procore
Introducing Digital Coworkers that Automate Construction Workflows and Execute Work Directly Within the Platform
Key highlights
- Procore AI moves beyond traditional chatbots to agentic AI coworkers that use Actions and Triggers to execute complex construction workflows in real time
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New native agents including Deep Search, Submittals,
RFI , Daily Log, and Contract Review handle high-volume tasks directly inProcore - Powered by Datagrid’s multimodal index, agents reason across drawings, specs, and photos while maintaining Procore’s enterprise-grade security and permissions
What differentiates Procore AI is the intelligence underneath it. Built leveraging its vast construction data set, Procore AI brings construction-specific context that horizontal AI tools cannot replicate. Combined with the embedded Datagrid intelligence layer, this foundation brings AI directly into the flow of work, helping teams reduce manual effort, accelerate execution, and stay focused on building.
Construction is one of the world’s most essential industries, building the homes, hospitals, schools, and infrastructure society depends on. But at a time when demand is accelerating, the industry faces severe capacity constraints, including persistent labor shortages1 and decades of stagnant productivity growth2. At the same time, project teams are stretched thin while managing massive volumes of information buried across specs, drawings, RFIs, and project documentation—making it increasingly difficult to turn data into action. Procore AI is designed to cut through that complexity by automating workflows like submittals, RFIs, and contract reviews so teams can move faster and help keep projects on track.
Unlike traditional chatbots that only answer questions, Procore’s agentic AI combines Datagrid’s intelligence layer with two new foundational capabilities:
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Actions: Enable agents to execute live steps inside
Procore and connected systems, such as updating records, generating documents, and coordinating workflows. - Triggers: Enable agents to automatically respond to events in Procore—such as new submittals, RFIs, or change order—based on project context and customer-defined rules.
“Most AI tools in construction today behave like chatbots on top of disconnected data,” said
Bringing Agentic AI to Construction Teams
Realizing the value of agentic AI shouldn’t require a massive implementation effort. Procore AI makes it simple with the click of a button, giving teams access to an expanding library of advanced agents and AI capabilities designed to help automate high-friction tasks directly within the software they already use to get their jobs done.
Our AI-first strategy brings human-in-the-loop oversight and uses AI to eliminate administrative friction, not replace professional judgment. Responses include citations back to source documents and project records, and agents require human consent before actions are finalized. This approach helps accelerate execution while ensuring project teams retain control, accountability, and final decision-making. Examples of agents include:
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Deep Search Agent: Searches across specifications, drawings, and RFIs from within
Procore . It consolidates relevant references, highlights conflicts, and links back to exact source files. - Submittal Reviewer Agent: Reviews new submittals against project specifications, generating review summaries and flagging discrepancies directly within the submittal record.
- RFI Agent: Checks RFIs for completeness and clarity. It suggests edits and attaches relevant documents to help reduce back‑and‑forth cycles.
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Daily Log Agent: Aggregates photos, emails, and voice notes to draft daily logs inside
Procore for human review and finalization. - Contract Review Agent: Helps spot risks early by acting as an AI co-reviewer that identifies contract conflicts and adds resolution-oriented comments directly within your contracts, drawings, and specs.
“We tested the RFI Agent on a real-world discrepancy between drawings and specifications, and the output was exactly what a project engineer would be looking for," said
“We used the platform to build a submittal review agent around Level 10's internal workflows, standards, and coordination requirements. We ran 10 submittal reviews in an hour using our agent, easily saving 12 hours of work for our team,” said
Datagrid natively embedded in the
To learn more, visit Procore.com/AI and register for Procore’s June Innovation Summit at Procore.com/Innovation-Summit.
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About
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View source version on businesswire.com: https://www.businesswire.com/news/home/20260521183451/en/
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