Vertafore Unveils Velocity AI Platform and Agents for Insurance Workflows

April 14, 2026
Vertafore has launched its Velocity AI Platform and six specialized AI agents to automate key insurance workflows, improve decision-making, and reduce manual processes for agencies, MGAs, and carriers.

Vertafore introduced its Velocity AI Platform and a suite of six AI agents to enhance automation and efficiency across insurance workflows, announced in a press release. The new platform integrates AI directly into the company’s core systems for agencies, MGAs, and carriers, enabling faster development and deployment of intelligent tools.

The Velocity AI Platform serves as the foundation for Vertafore’s new agents, each designed to streamline specific insurance processes. The Insurance Expert Agent provides quick, explainable answers within ReferenceConnect AI, while the Portal Launcher Agent enables MGAs to convert PDF applications into digital submission experiences in Surefyre. The Submission Processing Agent automates data extraction from emails and documents, reducing submission processing time from one hour to about two minutes.

Other agents include the Reconciliation Agent, which automates carrier statement matching in AMS360; the Email Agent, which processes incoming emails and triggers actions within AMS360; and the Benefit Plan Agent, which cuts benefit plan setup time in BenefitPoint to under five minutes. General availability for most agents is expected by summer 2026.

According to Vertafore, these AI-driven tools are built to operate within existing workflows, helping insurance organizations accelerate operations and improve accuracy across distribution, underwriting, and accounting processes.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more