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

See AI Loss Run Processing Agent in action
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See AI Loss Run Processing Agent in action
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See AI Loss Run Processing Agent in action
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Commercial Property Loss Run Review
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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.
Get started
Get started
Import your files
Salesforce
,
Microsoft Excel
,
Google Sheets
Import your files from whereever they are currently stored
All types of Insurance documents supported
Once imported our system extracts and organises the essentials
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
Industrial equipment sales
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
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:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: