Turning Turnover Packages Into Structured Data

The situation

When a construction project hands a finished site to the people who will operate it, the handoff arrives as a turnover package: thousands of pages of PDFs covering every asset and piece of equipment on site. The information operations needs is all in there. It just is not usable. Someone has to read the documents and retype what matters into the systems that run the plant - slow, dull, and easy to get wrong.

The defect

Treating those documents as the finished product is where value leaks. A turnover package is really a database that happens to be trapped in page layouts - asset tags, equipment specs, serial numbers, all locked in PDFs no system can query. As long as the data stays as pictures of text, every downstream question means a person flipping through pages. The gap between construction being done and operations being able to use the result was being crossed entirely by hand.

What we engineered

• Built extraction that reads turnover PDFs and pulls out the structured asset and equipment data buried inside them.
• Pushed that data into the operator's document and asset systems through REST APIs, into a controlled repository rather than a shared drive.
• Delivered three generations of the tool, hardening extraction as real-world document variety exposed the edge cases.
• Standardized the output so the same fields land the same way regardless of which contractor produced the package.
• Turned a manual retyping step into a repeatable, reviewable pipeline the operator can trust.

The result

The handoff from construction to operations stopped being a retyping exercise. Asset data now flows out of the documents and into the systems that need it, in a controlled repository rather than scattered files. Three delivered generations mean the tool learned to handle the messy reality of real packages, not just clean samples. The broader lesson SCADADOG took from it: documents are a data source, and the construction-to-operations handoff is exactly where that data tends to go missing.