What’s the difference between this and a typical AMS?

Typical AMS tools stop at records. Selectsys combines AI OCR, Submission Triage, AI Assist (Underwriting Copilot), RQB for quoting/bind, policy admin & forms in EI, and embedded BPO Pods so work moves with SLAs and audit.

How fast can we start a pilot?

7–10 business days for a scoped workflow with SLAs.

Selectsys Operating Model: The Value Flywheel

Expert Insured (Policy Admin & Forms System), RQB, Automation, and BPO Pods, running as a single loop from intake to issuance, renewals, and analytics.

Cycle time ↓ 20–35%
ICS ↓ 30–50%
SLA-backed + audit trail

Start a Free Pilot See RQB

Selectsys Value Flywheel: Intake & Digitize → Appetite & Routing → RQB (Rate • Quote • Bind) → Issuance & Servicing → Renewal & Remarketing → Analytics & PQI; outer enablers: AI Assist, Automation, Control Tower, BPO Pods.

The Value Flywheel

Six nodes power a continuous loop. Intake & Digitize → Appetite & Routing → RQB (Rate • Quote • Bind) → Issuance & Servicing → Renewal & Remarketing → Analytics & PQI.

Intake & Digitize: AI OCR + Submission Triage turn emails/PDFs into structured data feeding RQB.
Appetite & Routing: Apply appetite rules and route qualified submissions to the right markets.
RQB: Rules-driven rating and quote sheets speed bind and feed Expert Insured for issuance.
Issuance & Servicing:Endorsements, COIs, evidence logs through EI + BPO Pods.
Renewal & Remarketing: 120/90/60/30-day cadence, alternatives, save offers.
Analytics & PQI: Track hit ratio, cycle time, and quality scores across stages.

The Selectsys Stack

A simple stack makes the flywheel work: Engagement, EI+RQB Operations, Enablement.

Engagement Layer

Broker/Producer portal
Email → Task
Phone/Chat notes
COI requests

EI + RQB Operations Layer

Expert Insured: Policy Admin & Forms System (accounts, tasks, documents, audit log)
RQB: Rating rules, quote sheet, bind pack, carrier checklist
Workflow: Queues, approvals, exceptions

Enablement Layer

Data Fabric: Risk data, appetite tables, loss-run archive
Automation: Bots, templates, connectors
AI OCR & Submission Triage: Extract fields; score completeness; route by appetite
AI Assist (Underwriting Copilot): Reads underwriting guidelines and assists during quoting & underwriting
Security & Compliance: SOC 2 Type II, access control, logging

Three layers: Engagement; EI + RQB Operations; Enablement (Data Fabric, Automation, AI Assist, Security).

Submission, RQB, Service, Renewal, Analytics Pods with SOPs and SLAs.

Pods + Playbooks (how we deploy)

Pods are trained teams mapped to each node. Playbooks provide SOPs, checklists, SLAs, and escalation. Start with one pod and scale.

Submission Pod: Email/PDF/API intake, data extraction, dedupe, tasking
RQB Pod: Rules-driven quoting, quote sheet, bind pack
Service Pod: Endorsements, COIs, evidence logs, audit trails
Renewal Pod: Cadence tracking (120/90/60/30), alternatives, save offers
Analytics Pod: Hit ratio, cycle time, QA, producer scorecards

MFA Credential Vault Audit Trail Works Inside Client AMS / Raters / Portals

Outcomes

Cycle time –20–35% • ICS –30–50% • Hit ratio +3–7 pts • Retention lift +2–4 pts • Cost per policy –15–30%

Ranges depend on line of business, baseline, and scope

Request a workflow walkthrough

Recommended Next Steps

If you want to see the operating model in action across each stage of the insurance lifecycle, the following pages walk through how submissions flow into underwriting, policy administration, servicing, and daily operations.