Vertafore Launched Two New AI Underwriting Tools

The company introduced tools designed to automate administrative tasks for managing general agents.

Updated on Sept. 24, 2026 in Artificial Intelligence

Isometric editorial illustration of a brass stamp next to stacked insurance folders, representing automated underwriting processes. — Vertafore has launched two new AI agents designed to automate administrative underwriting tasks and streamline program configurations for managing general agents. AI Illustration. Upload story photo >

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Vertafore has introduced two new artificial intelligence agents aimed at streamlining insurance underwriting workflows. These tools focus on summarizing application changes and simplifying insurance program configurations.

Why it matters

The company developed these solutions to significantly reduce the time underwriters spend on repetitive administrative duties. By automating these tasks, the firm seeks to improve operational efficiency across the insurance sector.

The Change Request Agent claims a 70% reduction in review time, while the Configuration Agent provides a 65% reduction in system configuration time. Vertafore reported these performance metrics during the product announcement.

The players

Vertafore

Headquartered in Denver, this company provides software and technology solutions specifically for the insurance industry.

The details

The Change Request Agent identifies and summarizes application updates for underwriter approval, while the Configuration Agent converts natural language inputs into functional system configurations. Additionally, the company previewed a Policy Check Agent designed to detect discrepancies between issued policies and initial applications.

Vertafore announced the new AI tools on September 24, 2026.
The new tools are slated for general availability in fall 2026.

The Tech Race

This development marks a shift toward specialized AI agents in the insurance sector, moving beyond general chatbots toward functional underwriting automation. By replacing manual configuration and review processes, these tools position Vertafore to compete more aggressively against firms integrating automated compliance and data verification technologies.

Underwriters and administrative staff can expect significant workflow improvements as these tools reduce manual data entry and review burdens. Users should prepare for a transition to natural language configuration interfaces that may require updated training on the new software platforms.

The takeaway

Automated underwriting agents are reducing the administrative burden on insurance professionals by minimizing manual review times and configuration errors. Organizations adopting these tools should prioritize verifying the output generated by AI agents to maintain data accuracy.