Insurance: D&O and EPLI

Distinguish well-governed companies from those heading toward a claim, before the claim materializes

Employee voice as a predictive underwriting signal for D&O and EPLI risk selection. The first tool to turn public workforce data into structured underwriting input.

$694B

Disclosure Dollar Loss in 2025, a record high

$17M

Median D&O settlement, a 10-year high

61%

Increase in DDL from 2024 to 2025

Sources: Cornerstone Research 2026; NERA 2026

The underwriting blind spot

A well-governed company and one heading toward a major D&O or EPLI claim look identical on paper.

What underwriters see today

  • Financial statements
  • Claims history
  • Governance assessments
  • Company disclosures

What underwriters miss

  • Discrimination patterns across the workforce
  • Compliance failures employees describe publicly
  • Management misconduct signals
  • Cultures of silence that suppress internal reporting

These are precisely the conditions that precede D&O and EPLI claims, and they are visible in public employee voice before they appear in any formal report, regulatory finding, or litigation filing.

Three use cases

Primary

Underwriting signal

Add employee voice as a predictive data layer for D&O and EPLI risk selection. Score companies against risk indices calibrated for underwriting and distinguish well-governed organizations from those heading toward claims.

Secondary

Claims intelligence

Use workforce sentiment data during claims investigation to understand the organizational conditions that preceded a D&O or EPLI claim. Validate or challenge claimant narratives with independent external evidence.

Internal

Internal workforce monitor

Monitor your own organization's workforce across global operations. Detect emerging culture risks, retention signals, and governance blind spots across business units before they become material.

What the output looks like

Scored risk indices designed to sit alongside financials and claims history in underwriting workflows.

Risk scores calibrated for D&O/EPLI underwriting

Discrimination and harassment pattern detection

Compliance failure signals described publicly by employees

Management misconduct and conduct risk patterns

Culture of silence indicators: suppression of internal reporting

Trend data and alerts as patterns shift over time

The evidence base

Peer-reviewed research (Green, Huang & Wen, Journal of Financial Economics, 2019) demonstrates that public employee review data is predictive of organizational performance, particularly effective at detecting negative events before they surface through conventional reporting.

Top-rated employers outperform the market by 10-16% annually (UK study). Employee outlook predicts bad news events more strongly than good news, making public employee voice especially valuable as a risk signal.

Disclosure Dollar Loss increased 61% from 2024 to 2025, reaching a record $694B. The conditions behind these events were visible in workforce data before they reached litigation.

Run a pilot on your portfolio

We work with underwriting teams to test employee voice data against historical claims data and validate predictive value before full integration.