Why are carriers repricing general contractors based on behavioral data — and what does it cost the GCs that can’t show it?
Insurance carriers have begun pricing the absence of verifiable behavioral data — pre-task plans, observation close-out, credentialing, and field-routine signals — directly into renewal premiums. General contractors that rely solely on lagging indicators (claims history, incident counts, EMR) are now paying a structural premium versus peers who can hand the underwriter a clean, leading-indicator data set. We call that gap the leading indicator premium, a pillar of safety intelligence, and the EBITDA story behind a new construction-tech paradigm: Predictive Safety Management (PSM).
This shift is giving rise to a new category that sits outside of, yet supports the construction-management bucket owned by Procore and Autodesk — one that converts verified field signals into underwritable risk decisions before a claim is ever filed. Predictive Safety Management is the underwriting-grade discipline emerging inside the broader Safety Intelligence category — the practice of converting verified, field-captured leading indicators into pre-incident risk decisions.
How big is the construction insurance line item, and why does it move EBITDA?
For a $1B-volume general contractor, workers’ compensation and general liability now run between 5% and 10% of build cost, with NYC contractors at the high end of that band. Our 2026 NY Build panel summary and prior work on lagging vs. leading indicators of safety risk both document NYC insurance frequently exceeding 10% of total project cost. At a 5% rate, that is $50M of annual premium on a $1B portfolio. A 0.20-point EMR move — from 1.0 to 0.8 — translates into roughly $200,000 of annual swing per $1M of premium, which on a $50M base is $10M of recurring annual EBITDA recovered or lost.
The regulatory floor moved in the same direction. OSHA’s maximum penalty for willful or repeat violations sat at $165,514 per violation in fiscal 2025 and persists at that rate in 2026 per the agency’s penalties overview. One willful citation at a $1B contractor is roughly 3% of EBITDA on a 10% margin job. NCCI’s most recent statistical-plan data put the average workers’ compensation claim at $47,316, with motor-vehicle-related claims averaging $91,433. These numbers are the financial backdrop. The shift in 2026 is what carriers now want to see before they price.
The “leading indicator premium” is structural
Carriers have always priced risk on claim history, but in 2025-26 they began pricing around the quality of the safety operating data they can verify before they price the policy. Send Technology’s 2026 insurance trends report and Aon’s 2025 Global Construction Insurance and Surety Market Report both flag jobsite tech — drones, wearables, real-time monitoring, and digital safety logs — as material underwriting inputs alongside claim frequency. Behavioral discipline is now an underwriting line item, not a values statement.
The clearest live signal is the Zurich-Arrowsight pilot announced November 14, 2025. Across nine NYC building projects valued at over $2B, Zurich tracked claim frequency on Arrowsight-equipped sites against twelve non-equipped NYC sites in the same risk bands. The Arrowsight cohort produced a greater-than-50% reduction in workers’ compensation claim frequency. One participating GC, Suffolk, reported approximately 4x fewer claims and 10x lower incurred losses on its Arrowsight projects. Posillico, a New York heavy-civil contractor, reported its EMR dropping from 0.65 to 0.25 across its Arrowsight period. Compliance rates rose from roughly 70% to between 97% and 100%, and Zurich is now offering the program nationally with Arrowsight as exclusive provider per the CNBC coverage of the announcement.
What contractors increasingly need is not just a safety system, but a way to convert field activity into auditable, underwriting-ready evidence. That means verified capture at the worker level, closed-loop workflows, measurable leading indicators, and records that hold up at renewal, during claims review, and in audit. That operating layer is what this article refers to as Predictive Safety Management.
That is the structural part of the shift. As carriers place more weight on auditable operating data, contractors that can demonstrate clean leading-indicator evidence may be better positioned to negotiate rates, deductibles, and risk classification than peers that still rely primarily on lagging indicators. That gap is what we refer to here as the leading indicator premium.
What is “Predictive Safety Management,” and why does it deserve its own category?
Predictive Safety Management sits adjacent to, and supports, the construction management bucket owned by Procore and Autodesk, where safety has historically lived as a module inside a project-management platform. Predictive Safety Management is the operating discipline of converting verified, field-captured leading indicators — credentials, pre-task plans, observations, and access events — into pre-incident risk decisions that hold up to underwriting and audit.
The category has four pillars, each of which a CFO or Chief Risk Officer can audit independently:
- Verified field capture — identity tied to every PTP, JHA, observation, credential, and access event, which is the bedrock of any Risk Mitigation program a carrier will actually price. BiltOn anchors this layer with 3D facial recognition and hardware-tied turnstiles, so every safety event in the system links to a verified human identity rather than a paper signature or a shared kiosk login.
- Closed-loop routines — PTP, orientation, access, observation, close-out, incident, and carrier underwriting connected in one ecosystem so no signal dies between systems. BiltOn closes that loop through native two-way Procore and Autodesk Construction Cloud integration paired with the JHA/PTP workflow stack, meaning the same record that proves a worker was trained also proves they completed the right pre-task plan and that the supervisor closed the resulting observation.
- Leading-indicator analytics — PTP quality, supervisor ratios, observation time-to-resolve, credential verification rate, and field-versus-office alignment, measured continuously and mapped to incident probability. These are the Preventative Risk signals underwriters now want to see before a renewal, and BiltOn surfaces them through the platform’s insurance-grade behavioral data layer — the same data set the carrier reviews when it prices the policy.
- Carrier-grade defensibility — time-stamped, auditable records that survive subcontractor turnover, project closeout, and the multi-year claim arrival window. This is the layer that converts a GC’s safety record into a better risk designation at renewal, and BiltOn produces it through integrated incident management and OSHA 300 log workflows tied to the same identity-anchored record set every other pillar feeds into.
Predictive Safety Management’s outputs land downstream — in insurance, legal defense, and EBITDA — not upstream in project schedules. Other vendors are approaching the same opportunity from different angles. CompScience’s $27.6M Series B in February 2025 (Sands Capital lead, with backing from Four More Capital, Working Capital, and Valor) bundles the safety platform with the workers’ comp policy itself, and the company has reported 35% reduction in workplace incidents across 200+ enterprise clients with over $30M in customer savings.
Procore continues to bundle safety as a module inside construction management. What is missing in the market is the operating layer that lives between the field and the carrier — and that is the category being claimed.
BiltOn is a Procore integration partner, and the Predictive Safety Management category was built to extend the construction management ecosystem rather than compete with it. The platform anchors 3D facial recognition and hardware-tied turnstiles to every PTP, JHA, orientation, and credential event, then routes that verified field data through native two-way Procore and Autodesk Construction Cloud sync, an insurance-grade behavioral data layer, and incident management workflows that produce OSHA 300-compliant logs by default. The result is identity-anchored field capture and audit-ready records engineered for underwriting outcomes from day one.
How do top GCs compress the leading indicator premium at the executive level?
The pattern across BiltOn’s enterprise-customer cohort is consistent. GCs that ship clean leading-indicator data through the underwriting cycle see:
- An average of three claims prevented per project
- A 7% reduction in premiums and deductibles per project
- Up to a 30% reduction in EMR scores year-over-year.
- TTR on observations drops by approximately 50% within six months
- Log completion rises by 37%
- Orientation capture rises by 25%
The relationship is not coincidence — these are the metrics carriers actually want, captured in the format they can verify. For a fuller view of the leading-indicator framework that underpins these outcomes, see BiltOn’s analysis of lagging vs. leading indicators in construction safety.
Three executive moves separate the GCs compressing the premium from those paying it:
1. Treat behavioral data as the underwriting deliverable, not a compliance artifact.
What you can verify becomes what the carrier prices. Auditable digital records — identity-tied PTPs and JHAs, hardware-tied turnstile access events, biometric credential validation at the gate, and incident management logs aligned to OSHA 300 — are renewal assets, not file-cabinet ballast. The CFO should be reviewing the same data set the underwriter is reviewing, in the same format.
2. Tie the safety platform to the insurance budget, not the IT budget.
A safety platform whose ROI is measured in premium points and EMR trajectory is a CFO line item. A safety platform whose ROI is measured in user adoption is an operations line item. The first conversation is structural. The second is tactical.
3. Treat behavioral data as a multi-year asset.
Because EMR is calculated on three years of claims history with the most recent year excluded, behavioral discipline today shows up at the 18-to-36-month mark in negotiated terms. Underwriter credits for validated safety technology can apply at the next renewal. The GCs with the cleanest 2026 renewals are the ones who started the discipline 18 months ago.
Conclusion
The line item is too big to leave to convention. Insurance-as-EBITDA is the executive’s lever, and the lever moves on Preventative Risk data the carrier can verify before the renewal — not on the claim count after. Carriers have stopped asking what a GC’s incident history looks like in isolation and started asking what Risk Mitigation discipline that history is built on. GCs that can answer with auditable, leading-indicator evidence are repricing their renewals down and earning better risk classifications at the underwriting desk. GCs that cannot are paying a structural premium against peers, quarter after quarter. Predictive Safety Management is the operating discipline — inside the broader Safety Intelligence category — that closes that gap, and the next 18 months of renewal cycles will sort which side of the gap each GC is on.
Want to see how BiltOn turns verified field data into underwritable behavioral evidence?
Frequently Asked Questions
1. How quickly does a behavioral-data investment translate into a compressed premium?
Operational metrics like log completion, observation close-out, and credentialing move within the first three to six months of standing up a Predictive Safety Management program. Insurance outcomes follow the claims cycle: meaningful EMR and premium movement typically arrive at the 18-to-36-month mark because EMR is calculated on three years of history. Underwriter credits for validated safety technology, however, can apply at the next renewal — meaning a GC can be classified as a better risk before the EMR math even catches up.
2. What is the difference between “leading indicators” and “behavioral data” in this context?
Leading indicators are metrics like PTP completion quality, supervisor ratios, observation time-to-resolve, credential verification rate, and field-vs-office alignment — the Preventative Risk signals carriers now use to anticipate loss probability before it shows up in a claim. Behavioral data is the underlying record that produces those signals: who did what, when, and how, with verified identity attached. Both sit inside the broader Safety Intelligence category, but carriers will only underwrite the indicators when the behavioral data behind them is auditable.
3. How does Predictive Safety Management differ from CompScience’s bundled WC + safety model?
CompScience’s bundled model is structurally disruptive, but it locks the GC into a specific carrier relationship (Nationwide). A GC running CompScience can’t shop the same behavioral-data set across Travelers, Liberty Mutual, Chubb, or Zurich at renewal — they’d lose access to the safety platform if they switched carriers. BiltOn’s carrier-agnostic Predictive Safety Management approach lets the GC own its Risk Mitigation data set and shop it across the carrier market every renewal cycle. That’s the cleanest competitive frame for the comparison page when you build it.
4. What is the minimum behavioral-data set a carrier expects to underwrite at a discount?
In current 2026 renewals, carriers are underwriting at a discount only when they can see verified credentialing at site entry, time-stamped PTPs tied to individual identity, observation records with documented close-out times, and incident logs aligned to leading-indicator history — the minimum viable evidence set for any Predictive Safety Management program. Paper rosters and spreadsheet exports do not meet the bar.
5. Is this a NYC-specific dynamic or national?
NYC is the leading edge because insurance is 7-10% of build cost there, but the Zurich-Arrowsight program is now national and other carriers (Travelers, Liberty Mutual, Chubb) have signaled similar moves in 2026 underwriting guidance. Mid-market and regional GCs will see the same pricing patterns as Predictive Safety Management — and the broader Safety Intelligence movement it sits inside — spreads beyond the major metros.
References
- AmTrust Financial. (n.d.). How experience modification rate impacts workers’ comp premiums.
- Aon. (2025). 2025 global construction insurance and surety market report.
- Bilton. (2026a). 2026 NY Build panel summary.
- Bilton. (2026b). Lagging vs leading indicators of safety risk: Why incident counts alone fail construction leaders.
- CompScience. (2025, February 26). CompScience secures $27.6M Series B to advance AI-driven insurtech for workplace safety [Press release].
- Insurance Journal. (2025, November 20). Zurich, Arrowsight camera-coaching pilot slashes NYC workers’ compensation claims.
- National Council on Compensation Insurance. (n.d.). Workers’ compensation statistical plan.
- Occupational Safety and Health Administration. (2025, January 14). US Department of Labor announces adjusted OSHA civil penalty amounts for 2025.
- Occupational Safety and Health Administration. (n.d.). OSHA penalties.
- Send Technology. (2026). Top 10 insurance industry trends shaping underwriting in 2026.
- Sherter, A. (2025, November 14). Workers comp claims plummet after Zurich NA, Arrowsight pilot program.
- Zurich North America. (2025, November 14). Zurich selects Arrowsight to help transform construction site safety [Press release].
