90% faster underwriting
AI Property & Casualty Underwriting Agent
From hours of review to minutes of insight
Delegate the document-heavy work of underwriting to a specialized AI agent. It extracts risk data from submissions, analyzes loss history, assesses property conditions, and flags hazards, giving your underwriters the structured intelligence they need to make confident decisions faster.

Ideal for
Commercial Underwriters
Risk Assessment Teams
Claims Analysts

See AI Property & Casualty Underwriting Agent in action
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See AI Property & Casualty Underwriting Agent in action
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See AI Property & Casualty Underwriting Agent in action
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Commercial Property Submission Review
See AI Property & Casualty Underwriting Agent in action
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Time comparison
Time comparison
Traditional way
3-4 hours per submission
With V7 Go agents
15-20 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Hazard Extraction
Pulls critical hazard data from risk engineering reports, property condition assessments, and loss runs into a structured format, eliminating manual note-taking and data entry.
Automated Hazard Extraction
Pulls critical hazard data from risk engineering reports, property condition assessments, and loss runs into a structured format, eliminating manual note-taking and data entry.
Automated Hazard Extraction
Pulls critical hazard data from risk engineering reports, property condition assessments, and loss runs into a structured format, eliminating manual note-taking and data entry.
Automated Hazard Extraction
Pulls critical hazard data from risk engineering reports, property condition assessments, and loss runs into a structured format, eliminating manual note-taking and data entry.
Loss History Analysis
Analyzes loss run reports to identify patterns, frequency trends, and severity indicators that inform accurate risk pricing and coverage decisions.
Loss History Analysis
Analyzes loss run reports to identify patterns, frequency trends, and severity indicators that inform accurate risk pricing and coverage decisions.
Loss History Analysis
Analyzes loss run reports to identify patterns, frequency trends, and severity indicators that inform accurate risk pricing and coverage decisions.
Loss History Analysis
Analyzes loss run reports to identify patterns, frequency trends, and severity indicators that inform accurate risk pricing and coverage decisions.
Property Condition Assessment
Extracts building age, construction type, maintenance status, and deficiency data from inspection reports to evaluate physical risk factors.
Property Condition Assessment
Extracts building age, construction type, maintenance status, and deficiency data from inspection reports to evaluate physical risk factors.
Property Condition Assessment
Extracts building age, construction type, maintenance status, and deficiency data from inspection reports to evaluate physical risk factors.
Property Condition Assessment
Extracts building age, construction type, maintenance status, and deficiency data from inspection reports to evaluate physical risk factors.
Submission Data Standardization
Normalizes inconsistent data formats across different submission types and carriers, creating a unified dataset ready for underwriting systems.
Submission Data Standardization
Normalizes inconsistent data formats across different submission types and carriers, creating a unified dataset ready for underwriting systems.
Submission Data Standardization
Normalizes inconsistent data formats across different submission types and carriers, creating a unified dataset ready for underwriting systems.
Submission Data Standardization
Normalizes inconsistent data formats across different submission types and carriers, creating a unified dataset ready for underwriting systems.
Compliance & Coverage Verification
Validates that submissions meet your underwriting guidelines and flags coverage gaps or non-standard requirements before binding.
Compliance & Coverage Verification
Validates that submissions meet your underwriting guidelines and flags coverage gaps or non-standard requirements before binding.
Compliance & Coverage Verification
Validates that submissions meet your underwriting guidelines and flags coverage gaps or non-standard requirements before binding.
Compliance & Coverage Verification
Validates that submissions meet your underwriting guidelines and flags coverage gaps or non-standard requirements before binding.
Auditable Risk Intelligence
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for every underwriting decision.
Auditable Risk Intelligence
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for every underwriting decision.
Auditable Risk Intelligence
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for every underwriting decision.
Auditable Risk Intelligence
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for every underwriting decision.
Extracts risk intelligence from any submission
To accelerate your underwriting decisions.
Get started
Get started
Import your files
Salesforce
,
Microsoft Sharepoint Online
,
Google Drive
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 playbook.
Connect AI to your underwriting playbook.
Let your underwriters focus on risk decisions, not data entry.
Let your underwriters focus on risk decisions, not data entry.
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.
Up to 200 pages.
Insurance submissions come in all formats. This agent handles everything from detailed risk engineering reports with complex tables to scanned property condition assessments and multi-page loss runs. It extracts data regardless of layout or document structure.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Complex Tables
Graphs
Spreadsheets
Word Docs
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Insurance submissions come in all formats. This agent handles everything from detailed risk engineering reports with complex tables to scanned property condition assessments and multi-page loss runs. It extracts data regardless of layout or document structure.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Complex Tables
Graphs
Spreadsheets
Word Docs
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Insurance submissions come in all formats. This agent handles everything from detailed risk engineering reports with complex tables to scanned property condition assessments and multi-page loss runs. It extracts data regardless of layout or document structure.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Complex Tables
Graphs
Spreadsheets
Word Docs
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 workflows to ensure hazard data, loss figures, and coverage details are extracted with exceptional accuracy, ready for your underwriting systems without manual correction.
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 workflows to ensure hazard data, loss figures, and coverage details are extracted with exceptional accuracy, ready for your underwriting systems without manual correction.
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 workflows to ensure hazard data, loss figures, and coverage details are extracted with exceptional accuracy, ready for your underwriting systems without manual correction.
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.
Verify every finding instantly. Every extracted data point—from building age to loss frequency—is visually linked back to its precise location in the source document, creating a complete audit trail for every underwriting decision.

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.
Verify every finding instantly. Every extracted data point—from building age to loss frequency—is visually linked back to its precise location in the source document, creating a complete audit trail for every underwriting decision.

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.
Verify every finding instantly. Every extracted data point—from building age to loss frequency—is visually linked back to its precise location in the source document, creating a complete audit trail for every underwriting decision.

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 regulated industries.
Insurance submissions contain sensitive underwriting data and personal information. V7 Go processes these documents within your secure environment, ensuring compliance with data privacy regulations and industry standards. Your data is never used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for regulated industries.
Insurance submissions contain sensitive underwriting data and personal information. V7 Go processes these documents within your secure environment, ensuring compliance with data privacy regulations and industry standards. Your data is never used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for regulated industries.
Insurance submissions contain sensitive underwriting data and personal information. V7 Go processes these documents within your secure environment, ensuring compliance with data privacy regulations and industry standards. Your data is never used for external purposes.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
More agents
More agents
Explore more agents to help you
Explore more agents to help you
accelerate your insurance and risk workflows
More agents
Answers
Answers
What you need to know about our
AI Property & Casualty Underwriting Agent
How does the agent handle different submission formats?
The agent is built to process submissions in any format—whether they arrive as PDFs, Word documents, spreadsheets, or through third-party portals. It adapts to different layouts and data structures automatically.
+
How does the agent handle different submission formats?
The agent is built to process submissions in any format—whether they arrive as PDFs, Word documents, spreadsheets, or through third-party portals. It adapts to different layouts and data structures automatically.
+
How does the agent handle different submission formats?
The agent is built to process submissions in any format—whether they arrive as PDFs, Word documents, spreadsheets, or through third-party portals. It adapts to different layouts and data structures automatically.
+
Can it work with our existing underwriting guidelines?
Yes. The agent connects to your Knowledge Hub, where you can upload your underwriting playbooks, coverage matrices, and risk thresholds. It uses these guidelines to flag submissions that fall outside your appetite.
+
Can it work with our existing underwriting guidelines?
Yes. The agent connects to your Knowledge Hub, where you can upload your underwriting playbooks, coverage matrices, and risk thresholds. It uses these guidelines to flag submissions that fall outside your appetite.
+
Can it work with our existing underwriting guidelines?
Yes. The agent connects to your Knowledge Hub, where you can upload your underwriting playbooks, coverage matrices, and risk thresholds. It uses these guidelines to flag submissions that fall outside your appetite.
+
What if a submission is missing key information?
The agent identifies missing or incomplete data and flags it for your team. It creates a clear list of what's needed before underwriting can proceed, reducing back-and-forth with brokers.
+
What if a submission is missing key information?
The agent identifies missing or incomplete data and flags it for your team. It creates a clear list of what's needed before underwriting can proceed, reducing back-and-forth with brokers.
+
What if a submission is missing key information?
The agent identifies missing or incomplete data and flags it for your team. It creates a clear list of what's needed before underwriting can proceed, reducing back-and-forth with brokers.
+
How accurate is the hazard and loss data extraction?
The agent achieves high accuracy through multi-step analysis and visual grounding. Every extracted data point is linked to its source location in the document, allowing your team to verify findings instantly.
+
How accurate is the hazard and loss data extraction?
The agent achieves high accuracy through multi-step analysis and visual grounding. Every extracted data point is linked to its source location in the document, allowing your team to verify findings instantly.
+
How accurate is the hazard and loss data extraction?
The agent achieves high accuracy through multi-step analysis and visual grounding. Every extracted data point is linked to its source location in the document, allowing your team to verify findings instantly.
+
Does it integrate with our underwriting management system?
The agent delivers structured output that can be exported to your UMS, CLM, or other systems. We can configure the output format to match your existing workflows.
+
Does it integrate with our underwriting management system?
The agent delivers structured output that can be exported to your UMS, CLM, or other systems. We can configure the output format to match your existing workflows.
+
Does it integrate with our underwriting management system?
The agent delivers structured output that can be exported to your UMS, CLM, or other systems. We can configure the output format to match your existing workflows.
+
Is sensitive underwriting data kept secure?
Absolutely. V7 Go is built for regulated industries with enterprise-grade security. Your submissions and underwriting data are processed in your secure environment and never used for external purposes.
+
Is sensitive underwriting data kept secure?
Absolutely. V7 Go is built for regulated industries with enterprise-grade security. Your submissions and underwriting data are processed in your secure environment and never used for external purposes.
+
Is sensitive underwriting data kept secure?
Absolutely. V7 Go is built for regulated industries with enterprise-grade security. Your submissions and underwriting data are processed in your secure environment and never used for external purposes.
+
Next steps
Next steps
Tired of manually extracting data from every submission?
Send us a recent submission package with risk engineering report and loss run, and we'll show you how our agent extracts the data you need in minutes.
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: