What Bad Building Information Really Costs: The Verified Numbers

The Most Expensive Filing Problem in the Built World

Every building generates a paper trail: drawings, models, specifications, equipment records, closeout binders. In theory that information describes the building. In practice it decays: renovations go undrawn, files scatter across systems and inboxes, and the documents slowly stop matching the walls they describe.

That gap between the building and its information is not just an annoyance. It has been measured, repeatedly, by organizations with no marketing motive, and the numbers are large enough that most owners would treat them as an emergency if they appeared as a line item. Before writing this article we verified every figure below against its primary source. Where a widely quoted industry number could not be traced to a real study, we left it out.

The landmark measurement came from the U.S. National Institute of Standards and Technology. Its 2004 study of the American capital facilities industry estimated that inadequate interoperability of building information, meaning information that cannot move cleanly between the people and systems that need it, cost the industry $15.8 billion in a single year. The study's authors called that figure conservative.

Owners Pay the Bill, Not Builders

The detail inside the NIST study matters more than the headline. Of that $15.8 billion, about two thirds, roughly $10.6 billion, was borne by building owners and operators. Not architects. Not contractors. The people who inherit the building after everyone else has moved on, and who then operate it for decades with whatever information survived the handover.

NIST also identified where the money goes. The single largest cost, an estimated $4.8 billion a year in staff time, was information verification and validation: people checking whether the drawings and records actually match what is installed, largely because as built information was poorly communicated or poorly maintained over the years. Another $1.5 billion went to maintenance staff standing idle, waiting for information they needed to resolve an issue.

Read those two numbers together and the diagnosis is plain: the most expensive part of bad building information is not dramatic failure. It is thousands of small delays, checks, and re checks that never appear on any invoice as a single line.

The 80 Percent Everyone Budgets Last

Why does this land so heavily on owners? Because of how a building's lifetime cost is actually distributed. The U.S. National Research Council has reported for decades that design and construction account for only 5 to 10 percent of a facility's total cost of ownership, while operating and maintaining it over 30 or more years accounts for as much as 80 percent.

Almost all of a building's cost happens during the phase that depends on good information, and yet the information is created, and usually last touched, during the short phase at the start. Every year of operation after handover runs on documents that were finalized before the first tenant moved in.

Five and a Half Hours a Week, Hunting

The construction phase has its own version of the problem. A 2018 study by FMI and PlanGrid surveyed nearly 600 construction leaders and found that project teams spend about 5.5 hours per person, every week, just hunting for project information such as current drawings. That was part of more than 14 weekly hours lost to searching, fixing mistakes, and resolving conflicts, which the study valued at an estimated $177.5 billion in U.S. labor cost in a single year.

The same study found that miscommunication and poor project data account for 48 percent of all rework on U.S. jobsites, an estimated $31.3 billion in one year. In 2021, a global follow up by Autodesk and FMI estimated that bad data may have cost the worldwide construction industry $1.85 trillion in 2020, including $88.69 billion in avoidable rework.

Different studies, different years, different methods, one consistent shape: the information problem is not a rounding error. It is one of the largest unmanaged costs in the built world.

• $15.8 billion per year lost to inadequate building information interoperability in the U.S., called conservative by the study itself (NIST, 2004).
• About two thirds of it borne by owners and operators, mostly during operations and maintenance (NIST, 2004).
• Up to 80 percent of a building's total cost of ownership is operations and maintenance (U.S. National Research Council).
• 5.5 hours per week spent hunting for project information by construction professionals (FMI and PlanGrid, 2018).
• $1.85 trillion: the estimated global cost of bad data in construction in 2020 (Autodesk and FMI, 2021).

What This Means for Canadian Buildings

These studies measured American and global industries, and we will not pretend someone has run the same analysis for Canada. But nothing in the mechanism stops at the border. Canadian buildings are designed in the same software, handed over with the same closeout binders, and operated by teams that inherit the same gaps. The ratios travel even where the dollar figures do not: the owner still carries the operations phase, and the operations phase still carries most of the lifetime cost.

If anything, the Canadian context sharpens the problem. Our climate works buildings hard, which means more maintenance events per year, and every maintenance event is a moment where someone either has trusted information or goes hunting for it. Much of Canada's institutional stock, including schools, hospitals, and civic buildings, is decades old, which means the original drawings have had that much longer to drift away from reality.

A Canadian owner who wants their own number does not need to wait for a Canadian NIST study. Count the maintenance tasks your team handles in a month, estimate the minutes each one spends locating or verifying building information, and multiply by a loaded hourly rate. The result is rarely small, and unlike the studies above, it is your number.

The Way Out Is a Verified Model

None of these costs come from a lack of effort. They come from information that no one can trust without checking. The fix is structural: capture the building as it actually exists, model it once to a level of detail the operation needs, and keep that model current as the building changes. That is what a verified digital twin is, and it directly attacks the largest measured cost, the time spent confirming that documents match reality.

Ventro Twin builds exactly this, starting from laser scanning and ending with a model your team runs the building from. If you would rather start smaller, an accurate set of as built drawings already removes most of the daily hunting. Either way, the numbers above stop being your numbers. Write to info@ventro.ca or start at our Ventro Twin page, and we will help you scope it.

Sources

Every figure in this article was verified against its primary source. The links:

1. [1]NIST GCR 04-867, Cost Analysis of Inadequate Interoperability in the U.S. Capital Facilities Industry, 2004
2. [2]U.S. National Research Council, Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities, 2012 (lifecycle cost)
3. [3]FMI and PlanGrid, Construction Disconnected, 2018 (hours lost, rework)
4. [4]Autodesk and FMI, Harnessing the Data Advantage in Construction, 2021 (global cost of bad data)

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