90% faster underwriting
AI Reinsurance Underwriting Agent
From weeks of review to hours of insight
Delegate the tedious work of cedent submission analysis to a specialized AI agent. It extracts exposure data, loss metrics, and financial indicators from complex underwriting files, compares them against your guidelines, and surfaces risks—freeing your underwriters to focus on strategic pricing and relationship management.

Ideal for
Reinsurance Underwriters
Risk Assessment Teams
Actuarial Departments

See AI Reinsurance Underwriting Agent in action
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See AI Reinsurance Underwriting Agent in action
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See AI Reinsurance Underwriting Agent in action
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Cedent Submission Analysis
See AI Reinsurance Underwriting Agent in action
Play video
Time comparison
Time comparison
Traditional way
3-5 days per submission
With V7 Go agents
2-4 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Exposure Extraction
Instantly extracts exposure summaries, limit structures, deductibles, and coverage details from cedent submissions, organizing them into a standardized format for rapid comparison.
Automated Exposure Extraction
Instantly extracts exposure summaries, limit structures, deductibles, and coverage details from cedent submissions, organizing them into a standardized format for rapid comparison.
Automated Exposure Extraction
Instantly extracts exposure summaries, limit structures, deductibles, and coverage details from cedent submissions, organizing them into a standardized format for rapid comparison.
Automated Exposure Extraction
Instantly extracts exposure summaries, limit structures, deductibles, and coverage details from cedent submissions, organizing them into a standardized format for rapid comparison.
Loss History Analysis
Analyzes historical loss data to identify trends, frequency patterns, severity outliers, and potential reserve adequacy issues that impact pricing decisions.
Loss History Analysis
Analyzes historical loss data to identify trends, frequency patterns, severity outliers, and potential reserve adequacy issues that impact pricing decisions.
Loss History Analysis
Analyzes historical loss data to identify trends, frequency patterns, severity outliers, and potential reserve adequacy issues that impact pricing decisions.
Loss History Analysis
Analyzes historical loss data to identify trends, frequency patterns, severity outliers, and potential reserve adequacy issues that impact pricing decisions.
Guideline Compliance Checking
Compares cedent exposures against your firm's underwriting playbook, flagging deviations in risk appetite, concentration limits, or exclusion requirements.
Guideline Compliance Checking
Compares cedent exposures against your firm's underwriting playbook, flagging deviations in risk appetite, concentration limits, or exclusion requirements.
Guideline Compliance Checking
Compares cedent exposures against your firm's underwriting playbook, flagging deviations in risk appetite, concentration limits, or exclusion requirements.
Guideline Compliance Checking
Compares cedent exposures against your firm's underwriting playbook, flagging deviations in risk appetite, concentration limits, or exclusion requirements.
Financial Metrics Validation
Extracts and validates financial statements, premium volumes, and loss ratios from cedent submissions to assess financial stability and pricing adequacy.
Financial Metrics Validation
Extracts and validates financial statements, premium volumes, and loss ratios from cedent submissions to assess financial stability and pricing adequacy.
Financial Metrics Validation
Extracts and validates financial statements, premium volumes, and loss ratios from cedent submissions to assess financial stability and pricing adequacy.
Financial Metrics Validation
Extracts and validates financial statements, premium volumes, and loss ratios from cedent submissions to assess financial stability and pricing adequacy.
Anomaly Detection
Identifies unusual patterns in loss data, coverage structures, or cedent history that may indicate hidden risks or require additional underwriting scrutiny.
Anomaly Detection
Identifies unusual patterns in loss data, coverage structures, or cedent history that may indicate hidden risks or require additional underwriting scrutiny.
Anomaly Detection
Identifies unusual patterns in loss data, coverage structures, or cedent history that may indicate hidden risks or require additional underwriting scrutiny.
Anomaly Detection
Identifies unusual patterns in loss data, coverage structures, or cedent history that may indicate hidden risks or require additional underwriting scrutiny.
Auditable Assessment Trail
Every extracted metric and risk flag is linked directly to its source in the submission documents, creating a complete, defensible record of the underwriting analysis.
Auditable Assessment Trail
Every extracted metric and risk flag is linked directly to its source in the submission documents, creating a complete, defensible record of the underwriting analysis.
Auditable Assessment Trail
Every extracted metric and risk flag is linked directly to its source in the submission documents, creating a complete, defensible record of the underwriting analysis.
Auditable Assessment Trail
Every extracted metric and risk flag is linked directly to its source in the submission documents, creating a complete, defensible record of the underwriting analysis.
Analyzes cedent submissions comprehensively
To deliver structured risk assessments.
Get started
Get started


Import your files
Microsoft Sharepoint Online
,
Salesforce
,
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
Built for the teams that handle high-stakes work
Built to scale workflows for teams that need speed and accuracy.
For Teams
For Teams
Reinsurance Underwriting Teams
Reinsurance Underwriting Teams
Reinsurance Underwriting Teams
Reduce time spent on routine data extraction and compliance checking. Let the agent handle first-pass analysis so your underwriters can focus on pricing strategy and relationship development.
Reduce time spent on routine data extraction and compliance checking. Let the agent handle first-pass analysis so your underwriters can focus on pricing strategy and relationship development.
Reduce time spent on routine data extraction and compliance checking. Let the agent handle first-pass analysis so your underwriters can focus on pricing strategy and relationship development.
Risk Management & Actuarial Teams
Risk Management & Actuarial Teams
Risk Management & Actuarial Teams
Accelerate risk assessment and portfolio analysis. Process more submissions in parallel, identify concentration risks faster, and make data-driven decisions with confidence.
Accelerate risk assessment and portfolio analysis. Process more submissions in parallel, identify concentration risks faster, and make data-driven decisions with confidence.
Accelerate risk assessment and portfolio analysis. Process more submissions in parallel, identify concentration risks faster, and make data-driven decisions with confidence.
Customer voices
Customer voices
Connect AI to your underwriting process.
Connect AI to your underwriting process.
Trusted by leading reinsurance firms.
Trusted by leading reinsurance firms.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
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
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
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 submissions.
In any format.
Cedent submissions arrive in countless formats—dense PDF reports, multi-sheet Excel workbooks, Word documents with embedded tables, even scanned legacy documents. This agent handles them all, extracting consistent data regardless of layout or presentation.
Input types
Complex Tables
Multi-Sheet Workbooks
Scanned Documents
Mixed Formats
Document types
PDFs
Excel
Tables
Word Docs
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex submissions.
In any format.
Cedent submissions arrive in countless formats—dense PDF reports, multi-sheet Excel workbooks, Word documents with embedded tables, even scanned legacy documents. This agent handles them all, extracting consistent data regardless of layout or presentation.
Input types
Complex Tables
Multi-Sheet Workbooks
Scanned Documents
Mixed Formats
Document types
PDFs
Excel
Tables
Word Docs
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex submissions.
In any format.
Cedent submissions arrive in countless formats—dense PDF reports, multi-sheet Excel workbooks, Word documents with embedded tables, even scanned legacy documents. This agent handles them all, extracting consistent data regardless of layout or presentation.
Input types
Complex Tables
Multi-Sheet Workbooks
Scanned Documents
Mixed Formats
Document types
PDFs
Excel
Tables
Word Docs
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through multi-step validation.
In reinsurance, a single misread exposure or loss figure can skew pricing and risk assessment. The agent uses multi-step workflows to validate extracted data, cross-reference figures across documents, and flag inconsistencies before they reach your underwriters.
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 multi-step validation.
In reinsurance, a single misread exposure or loss figure can skew pricing and risk assessment. The agent uses multi-step workflows to validate extracted data, cross-reference figures across documents, and flag inconsistencies before they reach your underwriters.
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 multi-step validation.
In reinsurance, a single misread exposure or loss figure can skew pricing and risk assessment. The agent uses multi-step workflows to validate extracted data, cross-reference figures across documents, and flag inconsistencies before they reach your underwriters.
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 source documents.
Every extracted metric, loss figure, and risk flag is visually linked back to its precise location in the cedent submission. This creates a complete audit trail, making it easy for underwriters to verify findings and defend underwriting decisions.

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 documents.
Every extracted metric, loss figure, and risk flag is visually linked back to its precise location in the cedent submission. This creates a complete audit trail, making it easy for underwriters to verify findings and defend underwriting decisions.

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 documents.
Every extracted metric, loss figure, and risk flag is visually linked back to its precise location in the cedent submission. This creates a complete audit trail, making it easy for underwriters to verify findings and defend underwriting decisions.

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.
Cedent submissions contain sensitive underwriting data and proprietary loss information. V7 Go processes all submissions within your secure environment, adhering to insurance industry compliance standards. Cedent 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 regulated industries.
Cedent submissions contain sensitive underwriting data and proprietary loss information. V7 Go processes all submissions within your secure environment, adhering to insurance industry compliance standards. Cedent 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 regulated industries.
Cedent submissions contain sensitive underwriting data and proprietary loss information. V7 Go processes all submissions within your secure environment, adhering to insurance industry compliance standards. Cedent 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 Reinsurance Underwriting Agent
How does the agent handle different submission formats?
The agent is built to process submissions in any format—PDF reports, Excel spreadsheets, Word documents, or mixed-media packages. It adapts to varying layouts and data structures, extracting consistent information regardless of how the cedent organized their submission.
+
How does the agent handle different submission formats?
The agent is built to process submissions in any format—PDF reports, Excel spreadsheets, Word documents, or mixed-media packages. It adapts to varying layouts and data structures, extracting consistent information regardless of how the cedent organized their submission.
+
How does the agent handle different submission formats?
The agent is built to process submissions in any format—PDF reports, Excel spreadsheets, Word documents, or mixed-media packages. It adapts to varying layouts and data structures, extracting consistent information regardless of how the cedent organized their submission.
+
Can it compare exposures across multiple cedents?
Yes. The agent normalizes exposure data from multiple submissions into a standardized format, making it easy to compare risk profiles, identify concentration patterns, and benchmark against your portfolio.
+
Can it compare exposures across multiple cedents?
Yes. The agent normalizes exposure data from multiple submissions into a standardized format, making it easy to compare risk profiles, identify concentration patterns, and benchmark against your portfolio.
+
Can it compare exposures across multiple cedents?
Yes. The agent normalizes exposure data from multiple submissions into a standardized format, making it easy to compare risk profiles, identify concentration patterns, and benchmark against your portfolio.
+
How does it know our underwriting guidelines?
The agent connects to a V7 Go Knowledge Hub populated with your underwriting playbooks, risk appetite statements, and historical underwriting decisions. This gives it the context to flag deviations specific to your firm's standards.
+
How does it know our underwriting guidelines?
The agent connects to a V7 Go Knowledge Hub populated with your underwriting playbooks, risk appetite statements, and historical underwriting decisions. This gives it the context to flag deviations specific to your firm's standards.
+
How does it know our underwriting guidelines?
The agent connects to a V7 Go Knowledge Hub populated with your underwriting playbooks, risk appetite statements, and historical underwriting decisions. This gives it the context to flag deviations specific to your firm's standards.
+
What if a submission contains unusual or non-standard data?
The agent flags items it cannot confidently extract or assess, allowing your underwriters to focus their expertise on genuinely novel or complex exposures rather than routine data entry.
+
What if a submission contains unusual or non-standard data?
The agent flags items it cannot confidently extract or assess, allowing your underwriters to focus their expertise on genuinely novel or complex exposures rather than routine data entry.
+
What if a submission contains unusual or non-standard data?
The agent flags items it cannot confidently extract or assess, allowing your underwriters to focus their expertise on genuinely novel or complex exposures rather than routine data entry.
+
Is cedent data kept confidential?
Absolutely. V7 Go is built for regulated industries. All submissions are processed within your secure environment, and cedent data is never shared or used for external purposes.
+
Is cedent data kept confidential?
Absolutely. V7 Go is built for regulated industries. All submissions are processed within your secure environment, and cedent data is never shared or used for external purposes.
+
Is cedent data kept confidential?
Absolutely. V7 Go is built for regulated industries. All submissions are processed within your secure environment, and cedent data is never shared or used for external purposes.
+
What is the output format?
The agent delivers a structured assessment report—typically JSON or Excel—containing extracted exposures, loss metrics, compliance flags, and risk scores. This integrates directly into your underwriting workflow or submission management system.
+
What is the output format?
The agent delivers a structured assessment report—typically JSON or Excel—containing extracted exposures, loss metrics, compliance flags, and risk scores. This integrates directly into your underwriting workflow or submission management system.
+
What is the output format?
The agent delivers a structured assessment report—typically JSON or Excel—containing extracted exposures, loss metrics, compliance flags, and risk scores. This integrates directly into your underwriting workflow or submission management system.
+
Next steps
Next steps
Tired of spending weeks on cedent analysis?
Send us a sample cedent submission and your underwriting guidelines. We'll show you how to cut analysis time in half.
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:
