January 30, 2026
Picture this: your PE spends three days building a submittal log from a 600-page spec book. Copies section numbers into a spreadsheet, cross-references spec sections with CSI divisions, types out each requirement line by line. Gets it to you Friday afternoon. On Monday, the architect issues an addendum that touches 14 sections. Back to the spreadsheet.
That's not a horror story. That's Tuesday.
And it's not just submittals. It's closeout logs built by hand, warranty trackers maintained in shared drives nobody can find, and test & inspection lists pieced together from half-read spec sections. Every one of those manual touchpoints is a place where data degrades, context gets lost, and your project picks up risk.
The Numbers Are Worse Than You Think
Here's where it stops being anecdotal. The construction industry has been surveyed, studied, and benchmarked enough that we can put real numbers on the manual data entry problem — and they're hard to ignore.
47% of construction managers still use manual methods — pen, paper, Excel — for tracking critical project information. Nearly half the industry is running document control the same way it did fifteen years ago, just with better laptops.
That might feel functional until you look at what it produces. 61% of construction executives report making decisions based on outdated project data. Not slightly stale data. Data that was wrong by the time it hit their desk. When your submittal log lives in a spreadsheet that three people edit independently, "current" is a relative term. The version you're looking at might be two revisions behind, and you won't know until something falls through.
It gets worse on the compliance side. 66% of executives say manual entry produces inaccurate compliance and audit data. Think about that in the context of a closeout package. If two-thirds of the time your manually entered data isn't reliable enough for an audit, what's the point of entering it at all?
These aren't edge cases. This is the norm. And the industry wonders why construction productivity has grown only about 1% annually over the past 20 years.
The Hidden Costs Beyond Wasted Hours
Time is the obvious cost. Everyone knows manual data entry is slow. But the costs that actually hurt your bottom line are the ones you don't see on a timesheet.
Bad decisions from bad data. When 61% of executives are working with outdated information, projects don't just run slowly — they run in the wrong direction. Material approvals get delayed because nobody realized a substitution request was already rejected. RFIs go unanswered because the submittal status in the spreadsheet doesn't match reality. You make a call based on what you think is true, and the correction costs ten times what the original decision would have.
Indefensible documentation. Here's a stat that should keep your risk team up at night: 50% of executives say that 1 in 5 claims cannot be substantiated due to documentation gaps. One in five. If you're sitting on a disputed change order or a delay claim and your backup is a spreadsheet that three different people updated with three different naming conventions, you're not in a strong position. Manual processes don't just lose data — they produce data that can't hold up under scrutiny.
Compliance exposure. When your closeout logs are manually maintained, it's easy to miss a warranty that was never collected, a test report that was never filed, or an O&M manual that the sub swore they'd send last month. Those gaps don't surface until the owner's team starts reviewing the turnover package — usually at the worst possible time, when your retainage is on the line. With GC profit margins sitting at 3.5–5% and owners withholding roughly 10% in retainage, your entire margin lives inside that retention release. Manual tracking puts it at risk.
The 1,300-Hour Problem
Let's make this concrete. Some firms report spending over 1,300 hours annually just gathering and processing submittal requirements across their active projects. That's not total document control time. That's one slice of it — the part where someone reads specs, identifies what needs to be submitted, and enters it into a log.
Break that down. At a blended PE rate of $85/hour, that's north of $110,000 a year spent on data entry. Not engineering judgment. Not coordination. Not problem-solving. Data entry — the kind of work that's repetitive, error-prone, and mind-numbing enough that mistakes are inevitable by page 300 of a spec book.
Now layer on closeout. Manual closeout tracking — chasing subs for warranties, cross-referencing what's been received against what's required, compiling turnover packages section by section — can easily double that figure. And unlike submittal log creation, closeout work intensifies at the exact moment your team is thinnest: project end, when your best people have already rolled to the next job.
The real question isn't whether you can afford to automate. It's whether you can afford not to, when 2–4 days of PE time per project is being spent on work a machine can do in minutes.
What Actually Changes When You Automate
Automation in document control isn't about doing the same work faster. It's about producing fundamentally better output.
Speed is the obvious win. Processing a full spec book in under 10 minutes versus 2–4 days changes your preconstruction timeline. You get submittal logs, closeout requirement logs, T&I lists, and mockup requirements before your first OAC meeting instead of scrambling to have them ready by the third.
Accuracy is the bigger win. Automated extraction doesn't get tired on page 400. It doesn't skip a section because it looked like a repeat of the one before it. It doesn't transpose a spec section number because it was copying between tabs. The output still needs human review — nobody should blindly trust any tool, AI or otherwise — but you're reviewing a complete, structured log instead of building one from scratch. That's a fundamentally different task, and it catches things manual creation misses.
Defensibility is the win that matters at the end. When your submittal and closeout data originates from a structured, auditable process rather than a patchwork of spreadsheets, you have documentation that holds up. If a sub disputes what was required, you can trace it back to the spec section. If an owner questions whether a closeout item was tracked, you have a timestamped record. That's the difference between a strong closeout position and a scramble.
How Anyset Eliminates the Manual Entry Problem
This is exactly what Anyset Specs and Anyset Closeout were built to solve — not as a feature bolted onto a PM platform, but as purpose-built tools for the spec-to-closeout workflow.
Anyset Specs scans your full project spec book and automatically generates submittal logs, closeout requirement logs, T&I lists, and product data. What used to take a PE days now takes minutes, with structured output that integrates directly into Procore, BIM 360, CMiC, and other platforms your team already uses. Your PE's time goes back to coordination and engineering judgment — the work you're actually paying them for.
Anyset Closeout picks up where specs leaves off, automating the collection process with trade-specific notifications, real-time tracking dashboards, and compiled turnover packages that are branded, hyperlinked, and ready for owner review. No more chasing subs through email threads. No more assembling binders the week before substantial completion.
Together, they replace the 1,300+ hours of manual data entry with a connected workflow that's faster, more accurate, and produces documentation your team can actually stand behind.
Want to see what your spec book looks like after automated extraction? Upload your specs for a free audit — you'll get a complete submittal log, closeout requirements, and T&I list back in minutes, not days.
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