90% faster analysis

AI Loss Run Analyzer Agent

From hours of data entry to minutes of analysis

Delegate loss run analysis to a specialized AI agent. It extracts claims history from PDFs regardless of carrier format, standardizes the data, calculates loss ratios, and delivers structured results ready for underwriting decisions.

Ideal for

Underwriters

Risk Managers

Brokers

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    Brotherhood Mutual logo
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See AI Loss Run Analyzer Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Loss Run Analyzer Agent in action

Play video

Commercial Property Renewal Analysis

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Loss Run Analyzer Agent in action

Play video

Time comparison

Traditional way

3-4 hours per loss run

With V7 Go agents

5-10 minutes

Average time saved

90%

Why V7 Go

Carrier-Agnostic Data Extraction

Extracts claims data from loss runs regardless of carrier format, layout, or table structure. Handles PDFs from major carriers and regional insurers with equal accuracy.

Carrier-Agnostic Data Extraction

Extracts claims data from loss runs regardless of carrier format, layout, or table structure. Handles PDFs from major carriers and regional insurers with equal accuracy.

Automatic Loss Ratio Calculation

Calculates loss ratios, frequency trends, and severity metrics automatically from extracted claims data, eliminating manual calculation errors.

Automatic Loss Ratio Calculation

Calculates loss ratios, frequency trends, and severity metrics automatically from extracted claims data, eliminating manual calculation errors.

Data Standardization & Normalization

Normalizes inconsistent date formats, claim descriptions, and amount fields across multiple carriers into a unified, comparable dataset.

Data Standardization & Normalization

Normalizes inconsistent date formats, claim descriptions, and amount fields across multiple carriers into a unified, comparable dataset.

Trend Analysis & Pattern Detection

Identifies claim frequency trends, seasonal patterns, and anomalies that inform renewal pricing and risk assessment decisions.

Trend Analysis & Pattern Detection

Identifies claim frequency trends, seasonal patterns, and anomalies that inform renewal pricing and risk assessment decisions.

Structured Output for Underwriting Systems

Delivers extracted data in structured formats (JSON, CSV, Excel) that integrate directly with underwriting platforms and pricing models.

Structured Output for Underwriting Systems

Delivers extracted data in structured formats (JSON, CSV, Excel) that integrate directly with underwriting platforms and pricing models.

Verifiable Source Citations

Every extracted claim amount and date is linked back to its precise location in the source loss run, creating an auditable record for underwriting decisions.

Verifiable Source Citations

Every extracted claim amount and date is linked back to its precise location in the source loss run, creating an auditable record for underwriting decisions.

Extracts claims history from any loss run

To deliver accurate loss ratios for underwriting.

Get started

Logo
Logo
Logo

Import your files

Microsoft Excel

,

Google Sheets

,

Salesforce

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your underwriting workflow.

Accelerate renewal decisions with faster data analysis.

Accelerate renewal decisions with faster data analysis.

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting complex documents.

From any carrier.

Loss runs come in countless formats from different carriers. This agent handles them all—from major national insurers to regional carriers, scanned documents to digital PDFs, and legacy formats to modern layouts. It extracts consistent data regardless of source.

Input types

Multiple Carriers

Scanned PDFs

Legacy Formats

Complex Tables

Document types

PDFs

Scanned Images

Complex Tables

Multi-Column Layouts

Spreadsheets

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

From any carrier.

Loss runs come in countless formats from different carriers. This agent handles them all—from major national insurers to regional carriers, scanned documents to digital PDFs, and legacy formats to modern layouts. It extracts consistent data regardless of source.

Input types

Multiple Carriers

Scanned PDFs

Legacy Formats

Complex Tables

Document types

PDFs

Scanned Images

Complex Tables

Multi-Column Layouts

Spreadsheets

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through multi-step validation.

In underwriting, precision is critical. This agent uses multi-step validation to ensure claim amounts, dates, and loss types are extracted with exceptional accuracy. Every figure is verified against the source document.

Model providers

OpenAI, Anthropic, Gemini logos

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate

through multi-step validation.

In underwriting, precision is critical. This agent uses multi-step validation to ensure claim amounts, dates, and loss types are extracted with exceptional accuracy. Every figure is verified against the source document.

Model providers

OpenAI, Anthropic, Gemini logos

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,

grounded in source data.

Every extracted claim is visually linked back to its precise location in the loss run. This creates a complete audit trail for underwriting decisions and makes verification instant.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy results,

grounded in source data.

Every extracted claim is visually linked back to its precise location in the loss run. This creates a complete audit trail for underwriting decisions and makes verification instant.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Enterprise grade security

for sensitive underwriting data.

Loss runs contain sensitive claims and underwriting information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data privacy standards.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for sensitive underwriting data.

Loss runs contain sensitive claims and underwriting information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data privacy standards.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

What you need to know about our

AI Loss Run Analyzer Agent

How does it handle different carrier loss run formats?

The agent is trained to recognize and parse loss run formats from all major carriers and regional insurers. It adapts to different table structures, date formats, and claim description styles, extracting consistent data regardless of source.

+

What data points does it extract?

The agent extracts claim dates, claim amounts, loss types, claim status, deductibles, and any other data visible in the loss run. It standardizes all fields for easy comparison and analysis.

+

Can it calculate loss ratios automatically?

Yes. The agent calculates loss ratios, loss frequency, average claim severity, and other key underwriting metrics directly from the extracted data, ready for renewal pricing decisions.

+

How accurate is the data extraction?

The agent achieves high accuracy by using multi-step validation and linking every extracted figure back to its source in the PDF. For critical underwriting decisions, every data point is visually verifiable.

+

What format is the output?

The agent delivers structured output in JSON, CSV, or Excel format, depending on your preference. The data is formatted to integrate directly with your underwriting and pricing systems.

+

Can it handle scanned or low-quality PDFs?

Yes. The agent uses advanced OCR and image processing to extract data from scanned loss runs, faxed documents, and PDFs with varying quality levels.

+

Next steps

Still manually extracting loss run data?

Send us a sample loss run from any carrier, and we'll show you how to extract and analyze it in minutes.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit