What data can the AI actually reach?
Procore project data is company/account-based.
Datagrid reads data inside the account of the company that purchased it — no one else's. Even if every party on your project uses Procore, each one runs a separate instance that Datagrid cannot see into. Data that moves between them — drawings, RFIs, invoices — still travels as attachments that have to be manually uploaded before the AI can read them. Manual uploads introduce lag — and on a live project, by the time the AI sees it, the data may already be stale. Stale data isn't a delay — it's untracked risk. Procore's 100+ connectors stitch one company's internal tech stack — they don't connect between companies on a project.
Connected workspaces, AI-ready by design.
On INGENIOUS when data is shared between workspaces it arrives instantly as live structured data — not an attachment waiting to be uploaded. The native MCP server connects Claude, ChatGPT, Gemini, or any MCP-compatible AI directly to your workspace data the moment it's shared, reading across every connected workspace you have access to. No delay. No gap for risk to live in.
Private by default. Connected by design.
What does the security review look like?
Digital Coworker package required. Admin-gated. Projects must be indexed.
Getting Datagrid AI running requires a Procore Digital Coworker package, a Company Admin to enable it, and individually indexing each project to unlock project-specific answers and agentic actions. Once a project is selected and indexed for Procore AI, Procore currently states that it cannot be undone.
User-permissioned. No new access surface.
The native MCP server inherits the user's existing role, workspace, and record-level permissions. The AI sees exactly what the user sees in the UI — nothing more. Revoke a user's access and the AI loses it the same second.
What does it cost as usage grows?
Digital Coworker package. Credit-based at scale.
Requires a Procore Digital Coworker package. Pro and Enterprise use shared AI credit pools. AI questions, agent tasks, data ingestion, storage, syncing, and background processes consume credits.
Included in INGENIOUS Pro.
The native MCP server ships with the platform. Connect Claude, ChatGPT, Gemini, or any MCP-compatible AI and use it as much as your team needs — the price doesn't change.
How is the AI connected to the platform?
Procore AI + connected Datagrid environment.
Procore AI is embedded in the Procore side panel and is provisioned with a connected Datagrid environment. Users can choose models such as Claude, GPT, or Gemini, while Datagrid provides the AI infrastructure, indexing, agents, and connection to Procore data.
Native MCP server, first-party.
Connect Claude, ChatGPT, Gemini, or another MCP-compatible AI tool directly to INGENIOUS.BUILD via OAuth 2.0. The MCP server connects INGENIOUS.BUILD data and capabilities without requiring a separate AI orchestration product between the platform and the AI.
How mature is the platform today?
Generally available.
Procore AI is available through Digital Coworker Starter, Pro, and Enterprise packages.
Available today across the full project lifecycle.
Live in production via the native MCP server — across schedule, budget, RFIs, submittals, contracts, change orders, invoices, and meetings.
What data can the AI actually reach?
Procore (with Datagrid)
Procore project access is company/account-based.
Datagrid reads data inside the account of the company that purchased it — no one else's. Even if every party on your project uses Procore, each one runs a separate instance that Datagrid cannot see into. Data that moves between them — drawings, RFIs, invoices — still travels as attachments that have to be manually uploaded before the AI can read them. Manual uploads introduce lag — and on a live project, by the time the AI sees it, the data may already be stale. Stale data isn't a delay — it's untracked risk.
INGENIOUS.BUILD Native MCP
Connected workspaces, AI-ready by design.
On INGENIOUS when data is shared between workspaces it arrives instantly as live structured data — not an attachment waiting to be uploaded. The native MCP server connects Claude, ChatGPT, Gemini, or any MCP-compatible AI directly to your workspace data the moment it's shared, reading across every connected workspace you have access to. No delay. No gap for risk to live in.
Private by default. Connected by design.
What does the security review look like?
Procore (with Datagrid)
Separate agreement. Admin-gated. Projects must be indexed.
Getting Datagrid AI running requires a separate Datagrid service agreement on top of your Procore subscription, a Company Admin to enable it, and individually indexing each project to unlock project-specific answers and agentic actions. Once a project is selected and indexed for Procore AI, Procore currently states that it cannot be undone.
INGENIOUS.BUILD Native MCP
User-permissioned. No new access surface.
The native MCP server inherits the user's existing role, workspace, and record-level permissions. The AI sees exactly what the user sees in the UI — nothing more. Revoke a user's access and the AI loses it the same second.
What does it cost as usage grows?
Procore (with Datagrid)
Purchased separately. Credit consumption model.
Requires a separate Datagrid subscription on top of Procore. Every AI question, every agent task, and every background sync — including indexing and keeping projects up to date — burns credits.
INGENIOUS.BUILD Native MCP
Included in INGENIOUS Pro.
The native MCP server ships with the platform. Connect Claude, ChatGPT, Gemini, or any MCP-compatible AI and use it as much as your team needs — the price doesn't change.
How is the AI connected to the platform?
Procore (with Datagrid)
Datagrid-mediated.
Procore AI is embedded in the Procore side panel and is provisioned with a connected Datagrid environment. Users can choose models such as Claude, GPT, or Gemini, while Datagrid provides the AI infrastructure, indexing, agents, and connection to Procore data.
INGENIOUS.BUILD Native MCP
Native MCP server, first-party.
Connect Claude, ChatGPT, Gemini, or another MCP-compatible AI tool directly to INGENIOUS.BUILD via OAuth 2.0. The MCP server exposes INGENIOUS.BUILD data and capabilities without requiring a separate AI orchestration product between the platform and the AI.
How mature is the platform today?
Procore (with Datagrid)
Limited availability as of April 2026.
Currently limited to select customers, with broader availability expected this summer — though Procore has made no formal commitment to timeline or feature scope.
INGENIOUS.BUILD Native MCP
Available today across the full project lifecycle.
Live in production via the native MCP server — across schedule, budget, RFIs, submittals, contracts, change orders, invoices, and meetings.
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