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Procore Technologies, Inc. Introduces Expanded Procore AI Experience with Embedded Datagrid Intelligence
Procore Technologies, Inc. announced an expanded Procore AI experience, introducing a new suite of AI agents powered by embedded Datagrid intelligence and built directly into Procore. This new experience gives customers access to agentic AI capable of executing work, coordinating workflows, and taking action across projects in real time. Procore AI moves beyond traditional chatbots to agentic AI coworkers that use Actions and Triggers to execute complex construction workflows in real time. New native agents including Deep Search, Submittals, RFI, Daily Log, and Contract Review handle high-volume tasks directly in Procore. Powered by Datagrid’s multimodal index, agents reason across drawings, specs, and photos while maintaining Procore’s enterprise-grade security and permissions. 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. 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. Procore’s agentic AI combines Datagrid’s intelligence layer with two new foundational capabilities: 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. 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. 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. Examples of agents include: 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. 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. Datagrid natively embedded in the Procore platform is currently in private beta, with broader availability and additional AI capabilities expected beginning this summer for customers to purchase. Existing Datagrid Pro and Enterprise offerings remain available for customers seeking comprehensive AI capabilities today, with pricing based on a credit consumption model.