5 Most Common Policy Discrepancies That Lead to E&O Claims

E&O claims against insurance agencies and brokers frequently stem from the same handful of policy discrepancies. Understanding these patterns is the first step toward prevention.

1. Coverage Limits That Don't Match the Binder

The most dangerous discrepancy is a policy issued with lower limits than what was quoted and bound. This happens more often than agencies realize — a carrier's system defaults to a different limit, a rating error produces incorrect numbers, or an endorsement reduces limits without clear notification.

2. Missing Additional Insured Endorsements

The second most common E&O trigger is a certificate listing additional insured status without a supporting endorsement on the policy. The client's contract requires it, the certificate shows it, but the actual policy doesn't include it. When a claim hits, the supposed additional insured discovers they have no coverage.

3. Wrong Named Insured or Entity

Entity name errors are surprisingly common and potentially catastrophic. An LLC is listed as the named insured when the contract is with a different related entity. The operating entity has no coverage, despite paying premiums, because the policy covers a different legal entity.

4. Incorrect Policy Period

A policy issued with the wrong effective date can leave the insured without coverage during the gap. This is especially dangerous when a policy is backdated and the prior policy has already expired. Even a one-day gap can be the one day when a claim occurs.

5. Endorsements That Were Requested But Not Added

Waiver of subrogation, primary and noncontributory, per-project aggregate — these endorsements are commonly requested by contract but frequently not added to the policy. The broker requested them, the carrier acknowledged the request, but the issued policy doesn't include them.

Prevention Through Automation

All five of these discrepancies share a common characteristic: they are detectable through systematic comparison of the binder to the issued policy. The solution is a policy checking process that compares every data point, every time, without exception.

AI-powered policy comparison eliminates the human factors that allow these discrepancies to slip through — fatigue, time pressure, and the inherent difficulty of comparing hundreds of pages manually.