When comparing Expert Insured to Insurity, the contrast often lies in focus: Insurity is architected for carriers with large actuarial and regulatory demands, while Expert Insured is designed specifically for MGAs, program administrators, and underwriting organizations that need agility, speed, and cleaner operational flow. Once you’ve reviewed the feature-by-feature comparison, the biggest difference becomes easier to see when you look at the broader ecosystem around Expert Insured — because Selectsys isn’t just software, it’s a complete operating model.
Start by exploring RQB, which lets MGAs rate and quote across multiple carriers and program structures without long dev cycles. It’s built for rapid change, underwriting flexibility, and program-specific rules — a sharp contrast to carrier-oriented platforms that require heavy configuration. From there, Expert Insured handles policy lifecycle execution with underwriting workflows, endorsements, forms generation, compliance tracking, and renewals tailored for MGA operations rather than carrier processing environments.
If incoming submissions arrive in different formats, AI OCR & Submission Automation eliminates manual re-keying by transforming emails, attachments, and intake files into clean, structured data for underwriters. And when your underwriting team wants faster decisioning support, AI Assist provides real-time guidance, rule execution, appetite checks, and decision notes that write directly into the policy file.
To understand how these layers connect, the Operating Model illustrates the full Selectsys operating model. RQB drives fast quoting, Expert Insured manages policy lifecycle, automation removes bottlenecks, and dedicated BPO teams ensure execution at scale. The more volume you run through the system, the stronger and more efficient the connected model becomes.
If you prefer a phased rollout, the Starter program gives you a smaller footprint to begin with, while still keeping you on the same architecture as the full platform.
Operational depth comes from the solutions layer. Insurance BPO supports daily policy servicing, and AI automation supports those trained specialists with intake, extraction and triage to accelerate turnaround. MGAs seeking full-service operations lean on Insurance BPO Operations, while producer-heavy groups use General Agent Outsourcing to support distribution. Teams transitioning from legacy carrier platforms often use AMS360 Outsourcing or Applied Epic Outsourcing during implementation to stabilize workload.
Key servicing workflows are reinforced through Policy Renewal Support, Endorsement Processing BPO, and COI Processing Support, while system integrity remains strong via Download & Reconciliation Support. High-volume new-business teams benefit from Submission Intake & Triage to capture and qualify incoming opportunities.
Claims operations run smoother with Claims FNOL Assistance, and backend efficiency can be extended using AI-Powered Back Office. Programs working with retail agencies strengthen support through Retail Agency Support, underwriting units expand capacity via Underwriting Support Outsourcing, and large MGAs can scale further using Policy Administration BPO, Claims Processing Outsourcing, and Back Office Support.
