Policy Risk Adjustment Automation for Underwriters

Let your AI agent handle risk factor analysis, endorsement recommendations, and rating calculations—so you can focus on complex underwriting decisions and client relationships.

As an insurance underwriter, you spend hours digging through Excel spreadsheets, referencing PDF manuals, and cross-checking policy details in Guidewire or Applied Epic. Every policy review means tedious manual calculations and documentation, increasing the risk of missing critical factors. The pressure to avoid errors and keep up with compliance leaves you working late, buried in paperwork.

An AI agent that automates risk adjustments, endorsement selection, and rating calculations for insurance policies, reducing manual review time for underwriters.

What this replaces

Review policy risk factors in Applied Epic
Research endorsements using PDF underwriting manuals
Calculate ratings in Excel for each policy
Draft audit documentation in Word for compliance
Cross-check guideline references for every decision

The hidden cost

What this is really costing you

Insurance underwriters in property and casualty firms spend 8-10 hours each week manually reviewing policies, searching for substandard risks, and referencing guidelines in Applied Epic and Guidewire. This repetitive work leads to overlooked endorsements, calculation mistakes, and delayed policy issuance. The manual process exposes your team to compliance issues and audit failures, while draining valuable time.

Time wasted

8-10 hours/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$21,000-$26,000/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

Ignoring this problem results in compliance violations, costly rating errors, and missed audit deadlines. Over time, these issues can cause client dissatisfaction and financial losses for your firm.

Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.

Return on investment

The math speaks for itself

Today — without agent

9 hrs/week

of manual work

$23,400/year/ year

With your AI agent

1.5 hrs/week

agent-handled

$3,900/year/ year

You save

$19,500/year

every year, reinvested into growing your business

Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.

Jobs your agent handles

What this agent does for you

Complete jobs, handled end-to-end — so your team focuses on what matters.

Spot Substandard Risks Fast

You ask your agent to review a policy and flag any substandard risk factors based on the latest underwriting guidelines.

Apply Correct Endorsements

You ask your agent to recommend and specify all necessary endorsements for a policy with elevated risk.

Ensure Profitable Ratings

You ask your agent to recalculate the policy value and apply the correct rating to maintain profitability.

Audit-Ready Documentation

You ask your agent to generate a summary of all changes, with references to the guidelines used.

How to hire your agent

1

Connect your tools

Link your underwriting software, document management system, and reference materials.

2

Tell your agent what you need

Type: 'Review this policy for substandard risks and apply necessary endorsements and ratings per current guidelines.'

3

Agent gets it done

The agent returns a detailed policy adjustment, with endorsements, ratings, and referenced guidelines—ready for your review.

You doing it vs. your agent doing it

Manually review policy details and compare to guidelines.
Agent instantly flags risks using reference materials.
30 min/policy
Research and select endorsements from manuals.
Agent recommends and lists all required endorsements.
20 min/policy
Calculate and apply rating based on risk and rules.
Agent applies the correct rating automatically.
15 min/policy
Draft and cross-check documentation for compliance.
Agent generates audit-ready documentation instantly.
15 min/policy

Agent skill set

What this agent knows how to do

Policy Risk Analysis

Examines policy details from Guidewire and flags substandard risks with citations from underwriting guidelines.

Endorsement Selection

Identifies and recommends endorsements based on risk profiles, referencing the latest industry standards.

Rating Calculation

Applies the correct rating by processing policy values and risk factors, ensuring profitability and compliance.

Audit Documentation Generation

Drafts audit-ready summaries in Word, including all policy changes and guideline references for regulatory review.

Reference Lookup

Retrieves relevant sections from carrier manuals and attaches them to each policy adjustment for transparency.

AI Agent FAQ

Yes, the agent can handle most standard and moderately complex multi-line policies imported from Guidewire or Applied Epic. For highly specialized risks, manual review by your team is still recommended.

No, your AI agent automates repetitive tasks like risk analysis and endorsement selection, but you retain full control over final decisions. It supports your expertise by providing detailed recommendations and documentation.

You can upload carrier manuals in PDF or connect document management systems such as SharePoint. The agent extracts relevant guidelines for each policy adjustment and attaches them to your review workflow.

Absolutely. You can review, edit, and approve all risk adjustments, endorsements, and rating calculations before finalizing any changes. Customization options allow you to adapt recommendations to your firm’s standards.

All data is encrypted in transit using TLS 1.3 and never stored after processing. The agent operates within your organization’s firewall and complies with industry data privacy standards.

Yes, by automating documentation and guideline referencing, your AI agent minimizes errors and ensures audit-ready records for every policy adjustment. This reduces the risk of compliance violations and audit failures.

See how much your team could save with AI

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