Increasing efficiencies with AI

Insight Analysis

Underwriters were spending roughly 87 hours a year reading engineering reports to find the handful of lines that actually changed a decision on a single risk.

We pushed the summary down an abstraction ladder, page to paragraph to a single flagged signal, cutting review time from 3 hours to 15 minutes per document with full reasoning one click away. A named subject matter expert reviews each signal before it reaches an Underwriter, so correction work never falls back onto the person the tool was meant to free up. Once reviewed, it pushes to Launchpad with a Slack notification, and that usage shift was itself the point: as Underwriters trusted the signal more, Launchpad visits dropped while API call volume kept rising, which is adoption succeeding, not failing.

The result was a decrease of 80 hours required per Underwriter each year to consume insights from engineering reports, and a 90% increase in report insights reviewed by Underwriters.

Every flagged signal carries its reasoning: news and filings beyond the submission itself, there for the reviewing expert to check before it reaches an Underwriter

External filings and S&P data are cross-checked against the client’s own submission, so a mismatch surfaces before it ever reaches the Underwriter