Premium leakage is not a new concept in insurance, but the scale of it in commercial lines, and construction in particular, represents a level of revenue erosion that most carriers and program managers have not fully internalized. An estimated $30 billion in annual premium leakage across the insurance industry constitutes what Mike Warner, VP of Premium Audit at Builders Insurance Group, describes plainly as “a silent crisis”.
Silent is the operative word. This is not loss emerging from catastrophic events or from market cycle deterioration. It is preventable revenue that disappears through misclassification, incomplete audits, and data integrity failures that compound quietly over years before they surface in a financial review.
Key takeaways for insurance leaders
- The silent scale of leakage: An estimated $30 billion in annual premium leakage across the industry is preventable revenue eroding quietly through misclassification, incomplete audits, and data integrity failures — not through catastrophic or market-cycle losses.
- Construction as the highest-exposure line: Construction carries the highest rate of premium leakage across all commercial lines, driven by structural complexity — numerous class codes, shifting project scope, and evolving subcontractor arrangements that legacy audit protocols are not built to catch.
- The data integrity share: Data integrity failures account for 8% of premium leakage — a directly addressable portion that requires investment in class code-level analytics to identify exposure and audit discipline to act on it.
- The auditor’s question gap: The problem starts with what auditors fail to ask. Where audit functions are not equipped to probe classification accuracy in complex construction accounts, discrepancies between estimated and actual premium bases go consistently undetected.
Construction carries the highest leakage exposure
Construction is not merely a sector with elevated premium leakage. It is the sector with the highest rate of leakage across all commercial lines, according to Warner. This reflects the structural complexity of construction risk: class codes are numerous, project scope shifts during policy periods, subcontractor arrangements change premium bases, and the nature of work on a job site can move between classifications in ways that are difficult to track without rigorous audit discipline.
The specific example Warner cites is instructive. A construction policy where debris removal code 5610 was paired incorrectly with residential construction code 5645 suppressed premiums for years before the error was identified. This is not a billing error. It is a classification failure that persisted because the audit process was not designed to catch it. Multiplied across a construction book of meaningful size, this kind of systematic misclassification constitutes a material financial exposure.
Data integrity is a larger slice of the problem than most organizations acknowledge
Warner’s research assigns 8% of premium leakage specifically to data integrity failures [5]. In the context of a $30 billion industry-wide figure, 8% is not a rounding error. It represents a portion of the problem that is directly addressable through better data management practices, provided organizations are willing to invest in both the analytics to identify exposure and the audit discipline to act on what the analytics surface.
The implication for underwriting and audit leadership is direct: data quality in construction books is not simply an IT or systems concern. It is a revenue integrity concern. Premium leakage driven by data errors is recoverable, but only if it is first identified, and identification requires a level of class code-level analytics that many audit functions have not historically prioritized.
What auditors need to ask, and why most are not asking it
The title of Warner’s original presentation is purposefully pointed: the problem starts with what auditors fail to ask. The gap is not purely technical. It is also a training and audit protocol gap. Auditors who are not equipped to probe classification accuracy in complex construction accounts, or who are not asking the questions that surface discrepancies between estimated and actual premium bases, will consistently miss exposure that a more disciplined approach would catch.
For carrier CFOs, VP-level audit leaders, and program managers with construction concentration, this is a performance gap that is quantifiable and addressable. The analytics to identify which segments of a construction book warrant deeper audit scrutiny exist. The question is whether audit functions are resourced to pursue them systematically, or whether they are operating on legacy protocols that were calibrated for a simpler risk environment.
A ReSource Pro perspective
Premium leakage in construction lines is a recoverable problem, but recovery requires investment in process accuracy before the revenue loss compounds further. Organizations that have structured their audit functions around volume rather than precision are systematically leaving money on the table. Building the analytical capacity to identify where classification gaps are most likely, and the training to close those gaps through better audit execution, is the work that converts leakage identification into actual revenue recovery. Data integrity and workforce capability are where this problem is solved.
Mike Warner: Construction insurance’s $30 billion leakage problem starts with what auditors fail to ask
Author: Mike Warner, VP of Premium Audit, Builders Insurance Group
Publication: The Insurance Lead
Original Publication Date: June 3, 2026
