Expert Insured (AMS) + Insurance BPO + RQB: A Complete Insurance Operations Ecosystem
In today’s insurance landscape, managing operations across policy servicing, quoting, and staffing has become a balancing act. Most MGAs, wholesalers, and carriers are juggling outdated AMS systems, fragmented quoting tools, and scattered offshore teams. The result? Bottlenecks, inconsistent service, and missed revenue.
But there’s a better model: the full-stack insurance ops ecosystem.
At Selectsys, we help organizations modernize their operations with a unified solution that brings together three essential components:
- A modern agency management platform (Expert Insured)
- A flexible, API-ready quoting system (RQB)
- Embedded, SLA-driven insurance BPO services (policy, rating, endorsements)
This all-in-one approach reduces complexity, boosts quote-to-bind ratios, and eliminates handoffs between disconnected vendors.
Why Full-Stack Matters in Insurance Ops
When operations are split across multiple vendors and platforms, productivity suffers:
- Underwriters waste time rekeying submissions
- Agents wait for turnaround on endorsements
- Managers chase between systems for reporting
- Staff is constantly retrained due to high churn
The Selectsys ecosystem solves all of that by combining people + platform + process-seamlessly.
What the Ecosystem Looks Like
Here’s how each component works together:
- RQB powers submissions, quoting, and carrier integration. It supports both API and manual intake.
- Expert Insured manages policy lifecycle, accounting, and reporting for MGAs and wholesalers.
- Our BPO teams work inside your systems-handling policy changes, certificates, endorsements, and more.
Together, they eliminate operational silos and keep your workflows moving-from submission to bind to renewal.
Not Ready to Migrate? We Work With What You Have.
Many clients start with us without making a full system switch. Whether you’re on:
- AMS360 or Sagitta
- PL Rating or Surefyre
- MGA Systems or a custom PAS
…we integrate directly into your stack and show results in 30 days or less.
