Mohammad Jahangir
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MMR — Alinma Bank Data Center Tier IV Project

AI Document Controller

Automating technical document control on a Tier IV data-center build.

Aconex integrationSharePoint integrationPythonExcel automation
Role
Software Engineer & Project Coordinator, MMR
Status
Enterprise engagement
06Enterprise Document Automation
AD

Problem

Large construction programs generate a constant stream of technical submittals, MIR/WIR records, and correspondence across systems like Aconex and SharePoint. Manually classifying, routing, and reconciling these documents is slow and error-prone, and missing records surface late — usually when they're contractually expensive.

Solution

An internal automation toolset that classifies and routes technical documents between Aconex and SharePoint, extracts review comments from technical submittals (MIR/WIR) into structured Excel reports, and reconciles logs to detect and sync missing project records.

What I built

  • Built AI-assisted document classification and routing between Aconex and SharePoint.
  • Built automated extraction of review comments from technical submittals (MIR/WIR) into structured Excel reports.
  • Built log-reconciliation tooling to detect and sync missing project records across systems.

Key capabilities

AI-assisted document classificationAconex ↔ SharePoint routingMIR/WIR comment extractionStructured Excel reportingLog reconciliationMissing-record detection

Engineering challenges

  • Reconciling document logs across two systems (Aconex and SharePoint) that don't share a common record format.
  • Extracting structured review comments reliably from technical submittals that vary in layout and formatting.

Outcome

In active use as internal tooling supporting technical document control on the Alinma Bank Data Center Tier IV project.