Friday, October 31, 2025

Mployer Advisor Launches Mployer AI: The First AI Assistant Built for Benefits Consultants

Share

Mployer Advisor, the leading platform for transparency and intelligence in employee benefits, announced the launch of Mployer AI, an advanced large language model (LLM)-powered assistant built specifically for benefits consultants and market analysts.

Mployer AI eliminates the friction of searching, filtering, and interpreting benefits and insurance data — transforming complex datasets into instant, actionable insights. Users can ask questions in plain English and receive clear, data-backed answers in seconds.

A New Way to Navigate Benefits Intelligence

“For too long, access to benefits market data has been limited by outdated, complex tools and fragmented datasets,” said Anthony Waters, Chief Growth Officer at Mployer Advisor. “Mployer AI changes that. It puts the full intelligence of the largest insurance data ecosystem into a conversational experience, giving consultants and brokers the same speed and power that generative AI has brought to other industries.”

Also Read: Selerix Unveils AI-Powered Content Assist to Transform Benefits Communication

Questions that once required hours of manual searching or cross-referencing can now be answered instantly:

  • Which brokers in Texas have the most market share with manufacturing companies?
  • How do ABC Company’s employees rate their benefits?
  • Which employers’ premiums are above market average for their cohort?

Unlike traditional search tools, Mployer AI remembers context within a conversation, allowing users to refine or expand their queries naturally — just as they would with a colleague.

Availability and Next Steps

Mployer AI is now available to all Catalyst users through the Mployer Advisor Portal, seamlessly integrated into existing workflows. Future releases will expand its intelligence across additional datasets, evolving Mployer AI into a full-service assistant for brokers — from prospecting and benchmarking to market analysis and client engagement.

Source: PRWeb

Read more

Local News