AI Assist for Underwriting and Quoting
Underwriters and quoting teams spend hours reviewing guidelines, appetite charts, and exceptions. Selectsys AI Assist acts as an intelligent underwriting assistant inside RQB and Expert Insured (EI), using trained models on carrier and program rules to guide users in real time.
It tells the underwriter whether a risk fits appetite, flags missing information, and drafts checklist notes automatically. The result is faster quoting, consistent decisioning, and full audit trace.
How AI Assist Works
AI Assist connects to structured data from AI OCR and Submission Triage, then compares each risk against stored underwriting guidelines.
Core functions:
- Reads rulebooks and appetite matrices.
- Suggests fit or no-fit with reason codes.
- Flags missing details required to quote or bind.
- Drafts summary notes for submission, approval, or decline.
- Learns from previous decisions to improve future guidance.
Every recommendation is visible inside the workflow, keeping the underwriter in control while automating repetitive checks.
Real-Time Assistance Inside RQB and EI
- RQB: highlights appetite fit, required fields, and carrier-specific notes during quoting.
- EI (Policy Admin and Forms): inserts approval or decline reasons into the policy record and form logs.
- BPO Pods: provides the same guidance during support processing so offshore teams follow consistent decisions.
This makes it a live underwriting assistant that works alongside human judgment.
What It Checks
- Line of business and class eligibility
- Minimum and maximum limits
- Acceptable states and territories
- Required documents or inspections
- Referral or decline triggers
- Prior loss or experience modifiers
AI Assist runs these checks instantly and presents the underwriter with a clear yes, no, or refer flag with supporting logic.
Interlooping with the Value Flywheel
- ← AI OCR: provides structured submission data for AI Assist to analyze.
- ← Submission Triage: supplies completeness and appetite scoring.
- → RQB: uses AI Assist results to pre-populate quote fields and rule validations.
- → EI (Forms System): attaches recommendation notes and decision tags.
- → BPO Pods: ensures processing teams follow the same rules.
- ← Analytics & PQI: tracks usage, accuracy, and override rates for model tuning.
This links the intelligence layer of the Value Flywheel directly to execution.
Key Benefits
- 50 to 70 percent reduction in manual guideline lookups
- Consistent risk qualification and fewer human errors
- Immediate visibility of missing information before quoting
- Faster approval cycles and improved compliance
- Continuous learning from accepted and declined risks
Use Cases
- MGAs and carriers automating first-round underwriting reviews.
- Wholesalers validating submissions before sending to carriers.
- Internal review desks providing guided decisions to remote teams.
- BPO teams handling underwriting support with AI guidance.
Security and Control
All AI Assist recommendations are logged.
Final decisions remain with human underwriters.
SOC 2 Type II certified environment.
No external data sharing; models run inside the Selectsys ecosystem.
Measured Impact
- Guideline lookup time reduced by up to 60 percent
- Quoting throughput increased by 25 to 40 percent
- Consistency scores improved by 30 percent across teams
- Full audit visibility for every decision
Start a Pilot
Test AI Assist on your own guidelines and carrier programs.
A scoped pilot can be deployed in 7 to 10 business days with live RQB and EI integration.
Related Reading
FAQs
What is AI Assist?
An underwriting assistant that reads guidelines and suggests risk fit, missing data, and next steps during quoting.
How does it integrate with RQB and EI?
It operates inside RQB and EI, showing guidance panels during quoting and recording results on the policy record.
Does AI Assist replace underwriters?
No. It provides recommendations and notes; final decisions remain human.
How fast can we test it?
7 to 10 business days for a pilot using your own rule sets and carriers.
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