Templates

Crime Application

Crime Application

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Insurance
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Datapoint
Description
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Named Insured
Captures the full legal name of the insured individual or business entity.
Mailing Address
Returns the insured's complete mailing address as listed on the quote.
Entity Type
Indicates the insured's legal structure, such as Corporation, LLC, Partnership, or Individual.
FEIN / SSN
Extracts the Federal Employer Identification Number or Social Security Number associated with the insured entity.
Effective Date
Returns the date on which the crime insurance coverage begins.
Expiration Date
Captures the final date of coverage for the quoted policy term.
Number of Employees
Lists the total number of employees disclosed on the quote.
Total Annual Revenue
Specifies the reported or projected yearly revenue of the insured entity.
Coverage Types, Limits & Deductibles
Lists all requested crime coverage types (e.g., Employee Theft, Forgery), along with their corresponding coverage limits and deductibles.
Prior Crime Insurance Coverage
Returns details of any prior crime insurance policies, including insurer names, coverage dates, limits, and retroactive coverage, if applicable.
Prior Crime Losses or Claims
Provides a list of past crime-related claims or loss events, including incident dates, descriptions, and loss amounts.
Internal Financial Controls
Returns a description of internal controls such as segregation of duties, dual sign-offs, and reconciliations used to reduce fraud risk.
Employee Background Checks
Indicates whether the organization conducts background checks for employees and describes applicable procedures.
Use of Independent Audits
Specifies if independent financial audits are conducted, including audit frequency or auditing firm, if listed.
Broker Information
Returns the name and contact information (e.g., phone, email, agency) of the producing agent or broker handling the crime insurance application.

Crime insurance applications contain comprehensive underwriting data used to assess risk and eligibility for coverage. Feathery’s AI-powered extraction engine automates the intake of these applications, capturing critical information needed for submission, review, and quoting. It extracts key applicant details such as the named insured, mailing address, legal entity type, and associated FEIN or SSN. Policy term data, including effective and expiration dates, is pulled directly from the application, alongside core business information like number of employees and annual revenue.

The engine also identifies requested crime coverages—such as employee theft or forgery—and extracts the associated limits and deductibles. Historical data including prior insurance coverage and past losses are surfaced to provide full visibility into the applicant's claims history. Feathery captures internal control practices such as background checks, audit usage, and financial control procedures, which are critical for evaluating fraud risk. Broker details are also extracted to streamline communication. This template is ideal for insurers, MGAs, and brokers working in commercial crime coverage and looking to accelerate submission workflows, improve risk assessment, and reduce manual data entry.

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