Streamlined Underwriting and Quoting Solutions with Intelligent Assistance

This article is part of a sponsored series by Selectsys.

Underwriters and quoting teams often find themselves spending countless hours poring over guidelines, appetite charts, and exceptions. Enter Selectsys AI Assist, an intelligent underwriting assistant integrated within RQB and Expert Insured (EI). This innovative tool utilizes trained models based on carrier and program rules to provide real-time guidance to users.

AI Assist helps underwriters determine if a risk aligns with their appetite, flags any missing information, and even drafts checklist notes automatically. The outcome? Quicker quoting processes, consistent decision-making, and a comprehensive audit trail.

How AI Assist Works

AI Assist connects to structured data sourced from AI OCR and Submission Triage, comparing each risk against established 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 enhance future guidance.

Every recommendation is visible within the workflow, allowing underwriters to maintain control while automating repetitive checks.

Real-Time Assistance Inside RQB and EI

• RQB: Highlights appetite fit, required fields, and carrier-specific notes during the quoting process.
• EI (Policy Admin and Forms): Inserts approval or decline reasons directly into the policy record and form logs.
• BPO Pods: Offers consistent guidance during support processing, ensuring offshore teams adhere to the same decisions.

This positions AI Assist as a live underwriting assistant, complementing 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 performs these checks instantaneously, presenting underwriters with a clear yes, no, or refer flag, complete with supporting logic.

Interlooping with the Value Flywheel

• AI OCR: Supplies structured submission data for AI Assist to analyze.
• Submission Triage: Provides completeness and appetite scoring.
• RQB: Utilizes AI Assist results to pre-populate quote fields and validate rules.
• EI (Forms System): Attaches recommendation notes and decision tags.
• BPO Pods: Ensures processing teams adhere to the same guidelines.
• Analytics & PQI: Monitors usage, accuracy, and override rates for model tuning.

This integration connects the intelligence layer of the Value Flywheel directly to execution.

Key Benefits

• 50 to 70 percent reduction in manual guideline lookups
• Consistent risk qualification with fewer human errors
• Immediate visibility of missing information prior to quoting
• Accelerated approval cycles and enhanced compliance
• Continuous learning from both accepted and declined risks

Use Cases

Security and Control

• All AI Assist recommendations are logged for transparency.
• Final decisions rest with human underwriters.
• Operates in a SOC 2 Type II certified environment.
• No external data sharing; models function within 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 made

Start a Pilot

Experience AI Assist with your own guidelines and carrier programs. A scoped pilot can be deployed in just 7 to 10 business days, complete with live RQB and EI integration.

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 within RQB and EI, displaying 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 with human underwriters.

How fast can we test it?
7 to 10 business days for a pilot using your own rule sets and carriers.

Additional resources:

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Topics
InsurTech
Data Driven
Artificial Intelligence
Underwriting

This article is part of a sponsored series by Selectsys.

Underwriters and quoting teams often find themselves spending countless hours poring over guidelines, appetite charts, and exceptions. Enter Selectsys AI Assist, an intelligent underwriting assistant integrated within RQB and Expert Insured (EI). This innovative tool utilizes trained models based on carrier and program rules to provide real-time guidance to users.

AI Assist helps underwriters determine if a risk aligns with their appetite, flags any missing information, and even drafts checklist notes automatically. The outcome? Quicker quoting processes, consistent decision-making, and a comprehensive audit trail.

How AI Assist Works

AI Assist connects to structured data sourced from AI OCR and Submission Triage, comparing each risk against established 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 enhance future guidance.

Every recommendation is visible within the workflow, allowing underwriters to maintain control while automating repetitive checks.

Real-Time Assistance Inside RQB and EI

• RQB: Highlights appetite fit, required fields, and carrier-specific notes during the quoting process.
• EI (Policy Admin and Forms): Inserts approval or decline reasons directly into the policy record and form logs.
• BPO Pods: Offers consistent guidance during support processing, ensuring offshore teams adhere to the same decisions.

This positions AI Assist as a live underwriting assistant, complementing 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 performs these checks instantaneously, presenting underwriters with a clear yes, no, or refer flag, complete with supporting logic.

Interlooping with the Value Flywheel

• AI OCR: Supplies structured submission data for AI Assist to analyze.
• Submission Triage: Provides completeness and appetite scoring.
• RQB: Utilizes AI Assist results to pre-populate quote fields and validate rules.
• EI (Forms System): Attaches recommendation notes and decision tags.
• BPO Pods: Ensures processing teams adhere to the same guidelines.
• Analytics & PQI: Monitors usage, accuracy, and override rates for model tuning.

This integration connects the intelligence layer of the Value Flywheel directly to execution.

Key Benefits

• 50 to 70 percent reduction in manual guideline lookups
• Consistent risk qualification with fewer human errors
• Immediate visibility of missing information prior to quoting
• Accelerated approval cycles and enhanced compliance
• Continuous learning from both accepted and declined risks

Use Cases

Security and Control

• All AI Assist recommendations are logged for transparency.
• Final decisions rest with human underwriters.
• Operates in a SOC 2 Type II certified environment.
• No external data sharing; models function within 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 made

Start a Pilot

Experience AI Assist with your own guidelines and carrier programs. A scoped pilot can be deployed in just 7 to 10 business days, complete with live RQB and EI integration.

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 within RQB and EI, displaying 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 with human underwriters.

How fast can we test it?
7 to 10 business days for a pilot using your own rule sets and carriers.

Additional resources:

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Topics
InsurTech
Data Driven
Artificial Intelligence
Underwriting