A single building project generates a mountain of paperwork: contracts, permits, safety reports, change orders, inspection notes. Almost none of it is organized in a way a computer can easily search or compare. Most of it just sits in folders, read once and forgotten.
Researchers who reviewed 91 published studies on this exact problem found something telling: the documents pile up faster than anyone can make sense of them, and most companies can't even compare their own records from one project to the next, let alone across the industry. That's not a paperwork problem. That's a lost-information problem.
The fix researchers are pointing toward is software that reads and sorts these documents automatically, pulling out the parts that matter (a safety violation, a compliance deadline, a cost overrun) without a person having to dig through hundreds of pages by hand. Early uses include safety report scanning, compliance checking, and connecting paperwork to building models so nothing gets lost between the office and the job site.
This matters beyond construction companies. Every one of those documents eventually feeds into what a building costs, how long it takes, and what it's actually worth when it's done. A market that can't organize its own records can't be predicted accurately either, which is part of why forward-looking value tools, including the kind Predictye is exploring for the building and construction space, depend on this kind of groundwork getting solved first.
Source: Ding, Ma & Luo, Automation in Construction, 2022.
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