Crime Policy

Templates

Crime Policy

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Insurance

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Datapoint

Description

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Named Insured

Captures the legal name of the individual or business listed as the insured on the crime policy.

Named Insured Address

Captures the full mailing address of the named insured as listed on the policy.

Policy Effective Date

Indicates the start date when the crime insurance coverage begins.

Policy Expiration Date

Specifies the end date when the crime insurance coverage terminates.

Insurer Name

Specifies the full legal name of the insurer issuing the crime policy.

A.M. Best Rating

Returns the financial strength rating assigned to the insurer by A.M. Best.

Insurer Status

Indicates whether the insurer is classified as Admitted or Non-Admitted.

Coverage Type & Coverage Limit

Lists all included crime coverage types (e.g., Employee Theft, Forgery) and their corresponding dollar limits.

Employee Theft

Coverage for financial loss due to theft committed by employees.

Forgery or Alteration

Covers losses resulting from forged or altered checks or financial instruments.

Credit / Debit Card Forgery

Provides protection against fraud involving credit, debit, or charge cards.

Inside the Premise – Theft of Money & Securities

Coverage for theft of money or securities inside the insured's premises.

Inside the Premise – Robbery or Safe Burglary of Other Property

Coverage for robbery or burglary of tangible property other than money/securities inside the premises.

Outside the Premise Coverage

Protects against theft, robbery, or destruction of insured property outside the insured premises.

Computer Fraud

Coverage for losses due to unauthorized electronic data manipulation or access.

Funds Transfer Fraud

Coverage for losses due to unauthorized or fraudulent fund transfers.

Money Orders & Counterfeit Money

Coverage for losses from counterfeit currency or fraudulent money orders.

Social Engineering

Protects against losses resulting from phishing, impersonation, or fraudulent instructions.

Retention Coverage Type

Indicates the specific coverage category (e.g., Employee Theft) that a deductible applies to.

Retention Amount

Lists the dollar amount of the deductible for each applicable coverage.

Joint Insured Endorsement

Identifies additional named insureds covered under the same crime policy.

Verification Required for All Transfer Instructions

Specifies whether verification protocols are required for wire or funds transfer instructions.

ERISA Inflation Guard

Indicates whether an inflation protection clause applies to ERISA-related crime coverage.

Exclusion for Narcotics & Other Controlled Substances

Details any exclusions that apply to losses involving narcotics or controlled substances.

Conditions to Bind

Lists all contingencies, underwriting requirements, or documentation needed for binding coverage.

Estimated Annual Premium

Returns the annual premium amount stated on the policy before taxes and surcharges.

Payment Terms / Installments

Specifies payment structure such as Full Pay, Prepaid, or installment options.

Description of Tax / Fee / Charge

Describes the name of each applicable tax, fee, or surcharge.

Amount

Indicates the dollar amount for each listed tax, fee, or surcharge.

Loss Expense Coverage

Includes any stated costs or limits that apply to establishing the value of a covered loss (e.g., investigation or legal expenses).

This AI extraction template captures key data from crime insurance policies and related documents. It identifies core policy details including named insured, address, effective and expiration dates, insurer name and A.M. Best rating. Coverage types such as Employee Theft, Forgery, Computer Fraud, Funds Transfer Fraud, and Social Engineering are extracted alongside their respective limits, deductibles, and retention terms. The template also pulls in endorsements, exclusions, ERISA-related clauses, and premium breakdowns including taxes and fees.

Ideal for insurance brokers, underwriters, and compliance teams, this template streamlines crime policy review by automating data intake and structuring complex documents. It enhances accuracy and speeds up workflows across underwriting, auditing, and back-office operations.

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