← All case studies

Construction & Engineering Document Control

Tracking 22,000 Engineering Transmittals Across a Major Infrastructure Programme

Project teams used Docwize to reconcile more than 22,000 engineering transmittals across three independent source registers, creating a single auditable view of document movement and missing correspondence.

Two professionals reviewing engineering transmittal records and project documentation

Transmittal analysis

Diagram showing three independent source registers being reconciled into a single unified Master Document List, with missing entries and status mismatches highlighted

22,585 transmittals processed

Records from three independent source registers reconciled into a single Master Document List.

3 source registers reconciled

Side-by-side comparison revealed missing entries, status mismatches, and sequential gaps across systems.

670 classification tags applied

Transmittals categorised across the full corpus to support structured review and prioritisation.

98.22% AI extraction accuracy

After calibration, structured extraction produced a stable dataset suitable for ongoing audit.

The challenge

A major infrastructure programme generated tens of thousands of engineering transmittals across multiple document control systems. No single register reflected the complete project history. Teams needed to identify missing records, inconsistencies, and gaps in correspondence across fragmented systems.

The approach

Docwize ingested records from multiple source systems, extracted and structured transmittal metadata, and reconciled corresponding entries across registers. Missing or conflicting records were identified and a unified Master Document List was created to support ongoing review.

  • Ingest transmittal records
  • Extract metadata and document references
  • Match records across systems
  • Identify gaps and discrepancies
  • Build a reconciled master register

What the analysis revealed

Registers diverged significantly

Many transmittals appeared in only one or two systems, confirming that no individual register represented the full document history.

Missing sequences became identifiable

Gap analysis revealed incomplete correspondence series, enabling targeted investigation rather than broad manual review.

Structured extraction enabled reconciliation at scale

AI-assisted extraction achieved 98.22% accuracy after calibration, producing a stable dataset suitable for ongoing audit and review.

Outcome

Docwize enabled teams to create a single reconciled transmittal view, identify missing and conflicting records, and analyse correspondence gaps at scale.

Managing a large project document record?

Docwize helps engineering, commercial, and legal teams bring fragmented transmittal and correspondence records into a single reconciled view. Get in touch to discuss your matter.