90% faster analysis

AI Loss Run Processing Agent

From manual review to instant insights

Delegate loss run analysis to a specialized AI agent. It extracts claims data, calculates loss ratios, identifies trends, and flags underwriting risks, enabling your team to make faster, more informed decisions.

Ideal for

Underwriters

Risk Managers

Claims Analysts

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Loss Run Processing Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Loss Run Processing Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Loss Run Processing Agent in action

Play video

Commercial Property Loss Run Review

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Loss Run Processing Agent in action

Play video

Time comparison

Time comparison

Traditional way

3-4 hours per loss run

With V7 Go agents

15-20 minutes

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Claims Data Extraction

Instantly extracts all claims information including dates, amounts, claim types, and status from loss run reports in any format, creating a structured dataset ready for analysis.

Automated Claims Data Extraction

Instantly extracts all claims information including dates, amounts, claim types, and status from loss run reports in any format, creating a structured dataset ready for analysis.

Automated Claims Data Extraction

Instantly extracts all claims information including dates, amounts, claim types, and status from loss run reports in any format, creating a structured dataset ready for analysis.

Automated Claims Data Extraction

Instantly extracts all claims information including dates, amounts, claim types, and status from loss run reports in any format, creating a structured dataset ready for analysis.

Loss Ratio Calculation

Automatically calculates loss ratios, frequency rates, and severity metrics across multiple years, enabling quick comparison and trend identification.

Loss Ratio Calculation

Automatically calculates loss ratios, frequency rates, and severity metrics across multiple years, enabling quick comparison and trend identification.

Loss Ratio Calculation

Automatically calculates loss ratios, frequency rates, and severity metrics across multiple years, enabling quick comparison and trend identification.

Loss Ratio Calculation

Automatically calculates loss ratios, frequency rates, and severity metrics across multiple years, enabling quick comparison and trend identification.

Pattern & Trend Identification

Identifies emerging patterns, seasonal trends, and anomalies in claims history that may indicate elevated risk or operational issues requiring attention.

Pattern & Trend Identification

Identifies emerging patterns, seasonal trends, and anomalies in claims history that may indicate elevated risk or operational issues requiring attention.

Pattern & Trend Identification

Identifies emerging patterns, seasonal trends, and anomalies in claims history that may indicate elevated risk or operational issues requiring attention.

Pattern & Trend Identification

Identifies emerging patterns, seasonal trends, and anomalies in claims history that may indicate elevated risk or operational issues requiring attention.

Multi-Year Comparison

Analyzes claims across multiple years simultaneously, highlighting year-over-year changes and long-term trends to support underwriting decisions.

Multi-Year Comparison

Analyzes claims across multiple years simultaneously, highlighting year-over-year changes and long-term trends to support underwriting decisions.

Multi-Year Comparison

Analyzes claims across multiple years simultaneously, highlighting year-over-year changes and long-term trends to support underwriting decisions.

Multi-Year Comparison

Analyzes claims across multiple years simultaneously, highlighting year-over-year changes and long-term trends to support underwriting decisions.

Risk Flag Identification

Automatically flags high-frequency claims, large individual losses, and other underwriting red flags based on your firm's risk thresholds and guidelines.

Risk Flag Identification

Automatically flags high-frequency claims, large individual losses, and other underwriting red flags based on your firm's risk thresholds and guidelines.

Risk Flag Identification

Automatically flags high-frequency claims, large individual losses, and other underwriting red flags based on your firm's risk thresholds and guidelines.

Risk Flag Identification

Automatically flags high-frequency claims, large individual losses, and other underwriting red flags based on your firm's risk thresholds and guidelines.

Verifiable Source Citations

Every extracted data point and calculated metric is linked directly to its source in the original loss run, providing complete audit trail and verification capability.

Verifiable Source Citations

Every extracted data point and calculated metric is linked directly to its source in the original loss run, providing complete audit trail and verification capability.

Verifiable Source Citations

Every extracted data point and calculated metric is linked directly to its source in the original loss run, providing complete audit trail and verification capability.

Verifiable Source Citations

Every extracted data point and calculated metric is linked directly to its source in the original loss run, providing complete audit trail and verification capability.

Extracts comprehensive claims intelligence

From any loss run format or carrier.

Customer voices

Customer voices

Connect AI to your underwriting process.

Connect AI to your underwriting process.

Turn loss run analysis into competitive advantage.

Turn loss run analysis into competitive advantage.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

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 or format.

Loss runs come from dozens of carriers in different formats. This agent handles PDFs, scanned documents, Excel spreadsheets, and proprietary carrier formats. It extracts data consistently regardless of layout or presentation.

Input types

Multiple Carriers

Scanned Documents

Complex Tables

Multi-Year Data

Document types

PDFs

Spreadsheets

Tables

Graphs

Low-Quality Scans

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

From any carrier or format.

Loss runs come from dozens of carriers in different formats. This agent handles PDFs, scanned documents, Excel spreadsheets, and proprietary carrier formats. It extracts data consistently regardless of layout or presentation.

Input types

Multiple Carriers

Scanned Documents

Complex Tables

Multi-Year Data

Document types

PDFs

Spreadsheets

Tables

Graphs

Low-Quality Scans

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

From any carrier or format.

Loss runs come from dozens of carriers in different formats. This agent handles PDFs, scanned documents, Excel spreadsheets, and proprietary carrier formats. It extracts data consistently regardless of layout or presentation.

Input types

Multiple Carriers

Scanned Documents

Complex Tables

Multi-Year Data

Document types

PDFs

Spreadsheets

Tables

Graphs

Low-Quality Scans

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

In underwriting, precision is critical. This agent uses multi-step validation to ensure all claims data, dates, and amounts are extracted with exceptional accuracy. Every figure is verified against source documents.

Model providers

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 GenAI reasoning.

In underwriting, precision is critical. This agent uses multi-step validation to ensure all claims data, dates, and amounts are extracted with exceptional accuracy. Every figure is verified against source documents.

Model providers

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 GenAI reasoning.

In underwriting, precision is critical. This agent uses multi-step validation to ensure all claims data, dates, and amounts are extracted with exceptional accuracy. Every figure is verified against source documents.

Model providers

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 reality.

Every extracted data point is visually linked back to its precise location in the original loss run. This creates a complete audit trail, allowing underwriters to verify findings instantly and defend decisions with confidence.

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 reality.

Every extracted data point is visually linked back to its precise location in the original loss run. This creates a complete audit trail, allowing underwriters to verify findings instantly and defend decisions with confidence.

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 reality.

Every extracted data point is visually linked back to its precise location in the original loss run. This creates a complete audit trail, allowing underwriters to verify findings instantly and defend decisions with confidence.

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 high-stake industries.

Loss runs contain sensitive claims and underwriting data. V7 Go processes all information within your secure environment with enterprise-grade encryption. Your data is never shared or used for external purposes.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Loss runs contain sensitive claims and underwriting data. V7 Go processes all information within your secure environment with enterprise-grade encryption. Your data is never shared or used for external purposes.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Loss runs contain sensitive claims and underwriting data. V7 Go processes all information within your secure environment with enterprise-grade encryption. Your data is never shared or used for external purposes.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

Answers

What you need to know about our

AI Loss Run Processing Agent

How accurate is the data extraction from loss runs?

The agent achieves high accuracy through multi-step validation workflows that cross-reference data points and flag inconsistencies. Every extracted figure is visually linked to its source location, allowing underwriters to verify critical data points instantly.

+

How accurate is the data extraction from loss runs?

The agent achieves high accuracy through multi-step validation workflows that cross-reference data points and flag inconsistencies. Every extracted figure is visually linked to its source location, allowing underwriters to verify critical data points instantly.

+

How accurate is the data extraction from loss runs?

The agent achieves high accuracy through multi-step validation workflows that cross-reference data points and flag inconsistencies. Every extracted figure is visually linked to its source location, allowing underwriters to verify critical data points instantly.

+

Can it handle loss runs in different formats?

Yes. The agent processes loss runs regardless of format—PDFs, scanned documents, Excel spreadsheets, or proprietary carrier formats. It adapts to different layouts and data structures automatically.

+

Can it handle loss runs in different formats?

Yes. The agent processes loss runs regardless of format—PDFs, scanned documents, Excel spreadsheets, or proprietary carrier formats. It adapts to different layouts and data structures automatically.

+

Can it handle loss runs in different formats?

Yes. The agent processes loss runs regardless of format—PDFs, scanned documents, Excel spreadsheets, or proprietary carrier formats. It adapts to different layouts and data structures automatically.

+

How does it identify underwriting risks?

You configure risk thresholds and criteria in your Knowledge Hub—frequency limits, severity caps, claim type exclusions, and other guidelines. The agent applies these rules to flag potential issues automatically.

+

How does it identify underwriting risks?

You configure risk thresholds and criteria in your Knowledge Hub—frequency limits, severity caps, claim type exclusions, and other guidelines. The agent applies these rules to flag potential issues automatically.

+

How does it identify underwriting risks?

You configure risk thresholds and criteria in your Knowledge Hub—frequency limits, severity caps, claim type exclusions, and other guidelines. The agent applies these rules to flag potential issues automatically.

+

What is the final output?

The agent delivers a structured analysis including extracted claims data, calculated metrics, trend summaries, and flagged risks. Output can be formatted as JSON, Excel, or CSV for integration with your underwriting systems.

+

What is the final output?

The agent delivers a structured analysis including extracted claims data, calculated metrics, trend summaries, and flagged risks. Output can be formatted as JSON, Excel, or CSV for integration with your underwriting systems.

+

What is the final output?

The agent delivers a structured analysis including extracted claims data, calculated metrics, trend summaries, and flagged risks. Output can be formatted as JSON, Excel, or CSV for integration with your underwriting systems.

+

Can it compare loss runs across multiple carriers?

Yes. The agent normalizes data from different carriers and formats, enabling side-by-side comparison of loss history and identification of patterns across multiple sources.

+

Can it compare loss runs across multiple carriers?

Yes. The agent normalizes data from different carriers and formats, enabling side-by-side comparison of loss history and identification of patterns across multiple sources.

+

Can it compare loss runs across multiple carriers?

Yes. The agent normalizes data from different carriers and formats, enabling side-by-side comparison of loss history and identification of patterns across multiple sources.

+

Is confidential claims data secure?

Absolutely. V7 Go processes all loss run data within your secure environment with enterprise-grade encryption. Your claims information is never shared or used for external purposes.

+

Is confidential claims data secure?

Absolutely. V7 Go processes all loss run data within your secure environment with enterprise-grade encryption. Your claims information is never shared or used for external purposes.

+

Is confidential claims data secure?

Absolutely. V7 Go processes all loss run data within your secure environment with enterprise-grade encryption. Your claims information is never shared or used for external purposes.

+

Next steps

Next steps

Still manually extracting data from loss runs?

Send us a sample loss run and we'll show you how our agent delivers complete analysis in minutes, not hours.

Uncover hidden liabilities

in

supplier contracts.

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

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

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

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo