Why moving the same data across platforms is quietly draining project budgets
In construction, everyone talks about labor shortages, material costs, and schedule risk.
And everyone deals with duplicate data entry.
It’s accepted as part of the job—because each stakeholder needs their own system of record to track work and protect against disputes.
But that doesn’t make it efficient.
Every day across projects, teams are quietly spending tens of thousands of dollars entering the same information into multiple systems. Not reviewing it. Not analyzing it—just entering it again.
And because it’s manual, it’s also prone to error—making it harder to prove that information is consistent across systems when it matters most.
And every time they do, it costs time, money, and momentum
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The Invisible Workflow Tax
In today’s AEC environment, project data rarely lives in one place.
A single RFI might start in Autodesk Construction Cloud, get recreated in Procore by a general contractor, and then be logged again by an architect or consultant. The same thing happens with submittals, change orders, and even routine reporting.
This isn’t an exception—it’s how most projects operate.
Different stakeholders use different systems, and those systems don’t communicate. There’s rarely a shared source of truth.
So, the same piece of information gets entered multiple times, by multiple people, across multiple systems.
This is often referred to as “rekeying.” But that framing understates the problem—it’s not just a task, it’s duplicate data entry happening continuously throughout the workflow.
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What Does Duplicate Data Entry Actually Cost?
On its own, duplicating a single workflow item doesn’t seem like a big deal. It might take 15 to 20 minutes depending on complexity—but the steps behind that time are what drive the real cost.
A typical duplication involves:
- Reading and interpreting the original item
- Rekeying fields like dates, assignees, and locations
- Copying and formatting the core information
- Downloading and re-uploading attachments
- Rebuilding links to related items
- Performing a QA check to ensure accuracy
Individually, each step is small. Together, they create a continuous burn of administrative time.
RFIs and submittals evolve over time. Responses get updated. Attachments are added. Due dates shift. Statuses change.
And every one of those updates often has to be reflected in multiple systems.
That means duplicate data entry isn’t a one-time task—it’s an ongoing effort throughout the lifecycle of each workflow.
In practice, that includes:
- Updating responses across systems as new information comes in
- Re-uploading revised drawings or attachments
- Syncing status changes across platforms
- Keeping logs, reports, and systems aligned
So, for example, if you’re managing 500 RFIs, the numbers start to look like this across a year:
- Initial duplication:
500 × 15 minutes = 125 hours
At $50/hour → $6,250 - Ongoing updates (another ~15 minutes per workflow over time):
500 × 15 minutes = 125 hours
At $50/hour → $6,250
In reality, that puts you at:
- ~250 total hours
- ~$12,500 in labor per project
And that’s just to keep systems aligned—not to move the project forward.
And it’s a conservative estimate. It doesn’t account for more complex workflows, multiple revision cycles, or the added overhead of reporting and coordination.
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The Industry-Scale Impact
Zooming out, this isn’t just a project-level inefficiency—it’s an industry-wide issue.
Research from Autodesk and FMI has estimated that poor data and rework cost the U.S. construction industry roughly $177 billion annually.
Fragmented systems and manual data handling are a meaningful part of that.
At the firm level, the impact shows up in both time spent and the quality of information being used.
When information has to be manually entered into another system, there’s always lag.
- Updates don’t happen instantly.
- Teams wait for systems to catch up.
- Decisions get made on slightly outdated information[JG3] that is prone to inaccuracy.
And that lag isn’t just a process issue—it’s a human one.
People get pulled into meetings.
They switch tasks.
They step away.
Even the most efficient team cannot operate in real time across multiple systems. Manual workflows move at human speed. Projects don’t.
That delay compounds across a project.
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Why This Problem Persists
Despite better tools, duplicate data entry hasn’t gone away because the underlying structure of the industry hasn’t changed.
A few key factors keep it in place:
- No universal data standard across platforms
- Multiple stakeholders using different systems on the same project
- Limited interoperability between competing tools
- A need for each party to maintain its own system of record
Manual processes have become the default way to bridge these gaps. When systems don’t align, people do the work instead.
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The Real Risk Isn’t Just Time
The cost of duplicate data entry isn’t limited to labor hours. Every manual transfer introduces risk.
A missing attachment, an incorrect date, or an incomplete update can create confusion between teams and slow down decision-making.
Over time, these small inconsistencies compound.
Teams begin working from different versions of the truth. Coordination becomes harder. And in some cases, these gaps lead to delays, rework, or disputes.
What’s meant to keep teams aligned can end up doing the opposite.
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So What’s the Alternative?
At a certain point, the industry has to stop treating duplicate data entry as “just part of the job.”
Because it’s not—it’s a workflow gap. And it’s one that can now be addressed directly.
ProjectReady WorkBridge: Eliminating Duplicate Data Entry Between Systems
WorkBridge is purpose-built to eliminate duplicate data entry between construction platforms like Autodesk Construction Cloud and Procore.
Instead of relying on someone to recreate RFIs, submittals, documents, and content in multiple systems, WorkBridge automatically moves that information between them—accurately and in real time.
What typically takes 30 minutes per workflow—initial entry plus ongoing updates—is handled automatically in the background[JG4] . Through automation, WorkBridge you can manage as manage as many as 60 workflows per hour.
What That Actually Replaces
To understand the impact, it helps to look at the specific tasks WorkBridge eliminates:
- Manual duplication of RFIs and submittals between platforms
- Re-uploading and managing attachments across systems
- Maintaining duplicate logs
- Copy-paste reporting
- Cross-platform status updates and coordination
Instead of people acting as the connection between systems, WorkBridge becomes that connection.
The Real ROI
By this point, the cost of duplicate data entry is already clear.
Across a typical project, it adds up to hundreds of hours and tens of thousands of dollars in administrative effort—simply to keep systems in sync.
But the impact isn’t just cost, its delay.
Every time information has to be manually entered into another system, it introduces delay. An RFI sits before it’s recreated. A submittal update lags before it’s reflected elsewhere. Teams are constantly waiting for systems to catch up.
When that process is automated, that delay disappears.
- Information moves between systems immediately
- Updates are reflected in near real time
- Teams spend less time waiting and more time executing
That shift has a real impact on how projects run. Decisions happen faster. Coordination improves. Workflows move without being bottlenecked by administrative work.
WorkBridge addresses this directly—eliminating both the cost outlined above and the lag that comes with manual processes.
The result:
- Less administrative effort
- More reliable and consistent data
- Faster flow of information across teams
- Increased capacity without adding headcount
Most teams already feel this problem—they just don’t quantify it.
👉 WorkBridge’s ROI calculator lets you quantify the cost of duplicate data entry in your own environment—so you can see exactly what it’s costing you today, and what eliminating it is worth.
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The Bottom Line
Duplicate data entry isn’t just an inconvenience. It’s a measurable cost embedded in every project.
It consumes time, introduces risk, slows projects down, and adds thousands of dollars in avoidable labor.
But more importantly—it slows down how projects move.
The difference now is that it’s no longer unavoidable.
Teams that eliminate it will move faster, operate with better data, and reduce friction across every stage of the project.
And over time, that becomes a real competitive advantage.