Octave AI Underwriting Cuts Quote Time to 7 Minutes

On August 7, 2026, Octave Specialty Group, Inc. (OSG) disclosed on an earnings call that its AI underwriting platform had reduced the time from insurance submission to quote from several hours to approximately 7.0 minutes. The workflow is faster, but the company has not disclosed accuracy, underwriting conversion, premium or claims performance.[1]

How the AI underwriting platform fits Octave

Octave Specialty Group, Inc. (OSG) operates a global specialty insurance platform, owning and operating managing general agents in the United States, the United Kingdom and Bermuda that underwrite and distribute different specialty insurance products. The MGA AI Underwriting Platform is used by its U.S. underwriting teams to turn management, financial and professional liability submissions into decision-ready risk files. It is part of the core operating workflow that directly influences risk selection and quoting.

From common infrastructure to active underwriting use

On May 7, 2026, the application still appeared as a migration of multiple MGAs to a common technology stack and data architecture, with investment in AI underwriting tools built on top.[2] By August 7, 2026, Octave had worked with CyTora to launch a proprietary platform that was being used by several U.S. MGAs. The same submission and risk-review task had advanced from infrastructure development into limited production with a quantified result.

Approximately 7.0 minutes measures the time from an insurance submission entering the system to the creation of a quote, a clear reduction from the previous several hours.[1] Converting raw submissions into decision-ready risk files can reduce the time underwriters spend organizing information and waiting for initial screening. The company did not disclose the sample size, the share of submissions using the platform, differences across insurance products, human-review requirements or a control group.

The faster workflow could improve operating-expense efficiency. If underwriters process more submissions while maintaining the quality of risk decisions, review cost per policy could fall and the number of quoting opportunities could rise. Speed alone does not prove better selection, however. Underwriting conversion, premium, loss ratio and subsequent claims performance will determine the economic result, and Octave did not separately attribute any of those metrics or a profit contribution to the platform.

Octave has advanced its AI investment on a common data architecture into an underwriting tool used by several U.S. MGAs, confirming faster performance at the quote stage. The next critical evidence is the underwriting conversion rate, processing cost per submission and claims performance for business using the platform compared with business that does not. Until then, the confirmed result is a faster process, not a corresponding improvement in risk quality or profitability.

Application assessment

• MGA AI Underwriting Platform | Business position: Core operations | Deployment stage: Limited production | Scope: Multiple businesses or regions | Value type: Cost reduction

Sources

[1] Drillr · Octave Specialty Group, Inc. (OSG) · 2026-08-07 · Earnings call

Original: During the second quarter, we collaborated with CyTora to develop and launch our proprietary AI-driven underwriting platform, turning submissions into decision-ready risks, allowing us to review opportunities faster and with greater underwriting quality. It is currently active in a number of our US MGAs that write management, financial, and professional liability programs. To date, the results are very encouraging. In one clear example of underwriting efficiency and acceleration, we have reduced submit to quote time from several hours to approximately seven minutes.

[2] Drillr · Octave Specialty Group, Inc. (OSG) · 2026-05-07 · Earnings call

Original: And we've made significant strides, as I mentioned earlier, investments into AI. I think we're approaching this from a position of strength, given that while we meet some acquisitions, our largest acquisition being B Capital Partners, where most of our MTAs have been launched initially are on a homogeneous tech stack. We've been actively moving our other MGAs on to the same tech stack, which we'll have completed that in the U.S. marketplace by mid-year this year, and aggressively moving into a data architecture across all of our MGAs globally.