.png)
Insurance teams are under pressure to respond to brokers quickly while maintaining accuracy, compliance, and consistent proposal formatting. However, many proposal workflows still rely on legacy systems that require manual document assembly and formatting.
As submission volumes increase, these manual steps can slow down proposal turnaround—even when underwriting and pricing decisions are already complete.
AI-powered proposal generation platforms address this challenge by automatically assembling proposal documents from underwriting data. These systems allow brokers, MGAs, and carriers to deliver professional proposals faster while preserving accuracy, branding, and compliance.
In many insurance organizations, proposal generation sits between quote creation and client delivery. While pricing may be calculated automatically in rating systems, the final proposal document often requires manual preparation.
Legacy workflows frequently require teams to:
These tasks are necessary to ensure proposals meet professional and regulatory standards. However, when performed manually across thousands of submissions, they can significantly extend turnaround time.
One of the largest MGAs in the United States was seeing submission volumes increase as broker demand grew.
While underwriting systems handled pricing efficiently, preparing the final proposal still required multiple manual steps to assemble and format documents for delivery.
After implementing FurtherAI’s Proposal Generation Workflow, the organization was able to automate much of the proposal preparation process while maintaining consistency and compliance.
As the MGA’s VP of Sales explained:
“Our clients now receive professional, accurate proposals the same day they request them. It’s transformed how we compete in the market.”
Read the full case study here.
If you're interested in seeing this in action, book a demo!
Reclaim your time for strategic work and let our AI Assistant handle the busywork. Schedule a demo to see how you can achieve more, faster.