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Case study · Construction

Document Intelligence for Atlas10: 65% Less Manual Logging and Faster Approvals

Case study summary

Executive summary

We built a pipeline that reads incoming submittals, RFIs, change orders and subcontractor paperwork, extracts key fields, logs them in Atlas10's project platform, routes them to the right approver, and flags cost or schedule impact automatically — cutting manual logging by 65% and approval cycle time by days.

65%

Less manual logging

Project documents

Days saved

Approval cycle time

Per change order

Earlier

Cost visibility

Change-order exposure

The challenge

Submittals, RFIs, change orders and subcontractor paperwork arrived at Atlas10 as PDFs and emails and were logged and routed entirely by hand. Staff spent hours a day on document administration that delayed approvals and buried cost impacts in piles of paper.

Late approvals directly cost money on active projects, and change-order exposure often wasn't visible until it was too late to act. The team needed a way to process more document volume without adding administrative headcount.

What we built

A pipeline that reads each incoming project document, classifies it (submittal, RFI, change order, subcontractor invoice), and extracts the key fields. It logs them in Procore, routes each to the correct approver based on type and value threshold, and flags any cost or schedule impact for immediate visibility.

Low-confidence reads go to a human reviewer with the source document alongside. The team approves exceptions — not every document. The complete log stays in Procore with a full audit trail.

The result

  • 65% less manual logging across project documents.
  • Approval cycle time cut by days per change order.
  • Earlier visibility into change-order cost exposure.
  • Project team focused on approvals, not data entry.

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