90% faster treaty analysis
AI agent for Reinsurance Underwriters
From days of treaty review to minutes
Delegate complex reinsurance treaty analysis to a specialized AI agent. It reads non-standard wordings, extracts layered coverage structures, interprets attachment points and limits, and identifies gaps in catastrophic loss protection, allowing your underwriters to focus on risk assessment and pricing strategy.
Ideal for
Reinsurance Underwriters
Treaty Analysts
Catastrophe Modeling Teams
See AI agent for Reinsurance Underwriters in action
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See AI agent for Reinsurance Underwriters in action
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See AI agent for Reinsurance Underwriters in action
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Property Cat XL Treaty Review
See AI agent for Reinsurance Underwriters in action
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Time comparison
Time comparison
Traditional way
6-8 hours per treaty
With V7 Go agents
15-20 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Layered Coverage Extraction
Automatically identifies and extracts all coverage layers from excess of loss treaties, including attachment points, limits, participation percentages, and layer-specific terms for each reinsurer.
Layered Coverage Extraction
Automatically identifies and extracts all coverage layers from excess of loss treaties, including attachment points, limits, participation percentages, and layer-specific terms for each reinsurer.
Layered Coverage Extraction
Automatically identifies and extracts all coverage layers from excess of loss treaties, including attachment points, limits, participation percentages, and layer-specific terms for each reinsurer.
Layered Coverage Extraction
Automatically identifies and extracts all coverage layers from excess of loss treaties, including attachment points, limits, participation percentages, and layer-specific terms for each reinsurer.
Non-Standard Wording Interpretation
Reads and interprets unique treaty language, identifying deviations from standard market wordings and flagging clauses that require underwriter attention or legal review.
Non-Standard Wording Interpretation
Reads and interprets unique treaty language, identifying deviations from standard market wordings and flagging clauses that require underwriter attention or legal review.
Non-Standard Wording Interpretation
Reads and interprets unique treaty language, identifying deviations from standard market wordings and flagging clauses that require underwriter attention or legal review.
Non-Standard Wording Interpretation
Reads and interprets unique treaty language, identifying deviations from standard market wordings and flagging clauses that require underwriter attention or legal review.
Catastrophic Loss Scenario Mapping
Maps treaty coverage to specific catastrophic loss scenarios, determining which layers respond to hurricanes, earthquakes, floods, and other perils based on treaty definitions and exclusions.
Catastrophic Loss Scenario Mapping
Maps treaty coverage to specific catastrophic loss scenarios, determining which layers respond to hurricanes, earthquakes, floods, and other perils based on treaty definitions and exclusions.
Catastrophic Loss Scenario Mapping
Maps treaty coverage to specific catastrophic loss scenarios, determining which layers respond to hurricanes, earthquakes, floods, and other perils based on treaty definitions and exclusions.
Catastrophic Loss Scenario Mapping
Maps treaty coverage to specific catastrophic loss scenarios, determining which layers respond to hurricanes, earthquakes, floods, and other perils based on treaty definitions and exclusions.
Reinstatement Provision Analysis
Extracts and analyzes reinstatement terms, including number of reinstatements, premium calculations, and conditions, ensuring accurate modeling of treaty capacity across multiple loss events.
Reinstatement Provision Analysis
Extracts and analyzes reinstatement terms, including number of reinstatements, premium calculations, and conditions, ensuring accurate modeling of treaty capacity across multiple loss events.
Reinstatement Provision Analysis
Extracts and analyzes reinstatement terms, including number of reinstatements, premium calculations, and conditions, ensuring accurate modeling of treaty capacity across multiple loss events.
Reinstatement Provision Analysis
Extracts and analyzes reinstatement terms, including number of reinstatements, premium calculations, and conditions, ensuring accurate modeling of treaty capacity across multiple loss events.
Coverage Gap Identification
Identifies potential gaps in coverage by comparing treaty terms against standard market protections, flagging missing perils, territorial limitations, or exclusions that may leave the cedent exposed.
Coverage Gap Identification
Identifies potential gaps in coverage by comparing treaty terms against standard market protections, flagging missing perils, territorial limitations, or exclusions that may leave the cedent exposed.
Coverage Gap Identification
Identifies potential gaps in coverage by comparing treaty terms against standard market protections, flagging missing perils, territorial limitations, or exclusions that may leave the cedent exposed.
Coverage Gap Identification
Identifies potential gaps in coverage by comparing treaty terms against standard market protections, flagging missing perils, territorial limitations, or exclusions that may leave the cedent exposed.
Structured Data for Modeling
Delivers treaty data in a structured format ready for catastrophe modeling systems, eliminating manual data entry and ensuring accurate representation of coverage in loss simulations.
Structured Data for Modeling
Delivers treaty data in a structured format ready for catastrophe modeling systems, eliminating manual data entry and ensuring accurate representation of coverage in loss simulations.
Structured Data for Modeling
Delivers treaty data in a structured format ready for catastrophe modeling systems, eliminating manual data entry and ensuring accurate representation of coverage in loss simulations.
Structured Data for Modeling
Delivers treaty data in a structured format ready for catastrophe modeling systems, eliminating manual data entry and ensuring accurate representation of coverage in loss simulations.
Analyzes all reinsurance treaty documents
To extract coverage layers and identify gaps.
Get started
Get started
Import your files
Microsoft Sharepoint Online
,
Google Drive
,
Salesforce
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 treaty knowledge.
Connect AI to your treaty knowledge.
Turn complex wordings into structured coverage data.
Turn complex wordings into structured coverage data.
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 documents.
Up to 200 pages.
Reinsurance treaties come in countless formats and wordings. This agent handles everything from standard market forms to bespoke treaty language, including scanned historical documents and complex multi-layer structures with embedded schedules and endorsements.
Input types
50+ languages
Legacy Scans
200 pages
Multi-modal
Document types
PDFs
Slips
Complex Tables
Schedules
Endorsements
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Reinsurance treaties come in countless formats and wordings. This agent handles everything from standard market forms to bespoke treaty language, including scanned historical documents and complex multi-layer structures with embedded schedules and endorsements.
Input types
50+ languages
Legacy Scans
200 pages
Multi-modal
Document types
PDFs
Slips
Complex Tables
Schedules
Endorsements
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Reinsurance treaties come in countless formats and wordings. This agent handles everything from standard market forms to bespoke treaty language, including scanned historical documents and complex multi-layer structures with embedded schedules and endorsements.
Input types
50+ languages
Legacy Scans
200 pages
Multi-modal
Document types
PDFs
Slips
Complex Tables
Schedules
Endorsements
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
In reinsurance underwriting, precision is critical. This agent uses multi-step workflows to ensure attachment points, limits, and participation percentages are extracted with exceptional accuracy, ready for catastrophe modeling without manual verification.
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 reinsurance underwriting, precision is critical. This agent uses multi-step workflows to ensure attachment points, limits, and participation percentages are extracted with exceptional accuracy, ready for catastrophe modeling without manual verification.
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 reinsurance underwriting, precision is critical. This agent uses multi-step workflows to ensure attachment points, limits, and participation percentages are extracted with exceptional accuracy, ready for catastrophe modeling without manual verification.
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.
Build confidence in your treaty analysis. Every extracted term, from attachment points to reinstatement provisions, is visually linked back to its precise location in the source document, providing a complete audit trail for 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
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 198 15" xmlns="http://www.w3.org/2000/svg"><defs ><clipPath id="J0QEw1Ctk-2037569988-stroke"><use href="%23J0QEw1Ctk-2037569988"/></clipPath><path d="M 0 1 C 0 0.448 0.448 0 1 0 L 197 0 C 197.552 0 198 0.448 198 1 L 198 9 C 198 9.552 197.552 10 197 10 L 76 10 L 76 14 C 76 14.552 75.552 15 75 15 L 1 15 C 0.448 15 0 14.552 0 14 Z" id="J0QEw1Ctk-2037569988"/></defs><use fill="rgba(124, 58, 237, 0.1)" height="15px" href="%23J0QEw1Ctk-2037569988" id="J0QEw1Ctk" width="198px"/><use clip-path="url(%23J0QEw1Ctk-2037569988-stroke)" fill="transparent" href="%23J0QEw1Ctk-2037569988" stroke-dasharray="0" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="4" stroke-width="1" stroke="rgb(124, 58, 237)"/></svg>)
02
01
01
02
Trustworthy results,
grounded in reality.
Build confidence in your treaty analysis. Every extracted term, from attachment points to reinstatement provisions, is visually linked back to its precise location in the source document, providing a complete audit trail for 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 reality.
Build confidence in your treaty analysis. Every extracted term, from attachment points to reinstatement provisions, is visually linked back to its precise location in the source document, providing a complete audit trail for 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 high-stake industries.
Reinsurance treaties contain highly confidential commercial terms and pricing data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards. Your treaty data is never used for external model training.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Reinsurance treaties contain highly confidential commercial terms and pricing data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards. Your treaty data is never used for external model training.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Reinsurance treaties contain highly confidential commercial terms and pricing data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards. Your treaty data is never used for external model training.
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 agent for Reinsurance Underwriters
How does the agent handle non-standard treaty wordings?
The agent uses advanced language understanding to interpret unique treaty language and non-standard clauses. It compares wordings against your firm's Knowledge Hub of historical treaties and market standards, identifying deviations and flagging terms that require expert review.
+
How does the agent handle non-standard treaty wordings?
The agent uses advanced language understanding to interpret unique treaty language and non-standard clauses. It compares wordings against your firm's Knowledge Hub of historical treaties and market standards, identifying deviations and flagging terms that require expert review.
+
How does the agent handle non-standard treaty wordings?
The agent uses advanced language understanding to interpret unique treaty language and non-standard clauses. It compares wordings against your firm's Knowledge Hub of historical treaties and market standards, identifying deviations and flagging terms that require expert review.
+
Can it analyze both proportional and non-proportional treaties?
Yes. The agent is designed to handle all major treaty types, including quota share, surplus, excess of loss, stop loss, and aggregate excess treaties. It adapts its analysis to the specific structure and terms of each treaty type.
+
Can it analyze both proportional and non-proportional treaties?
Yes. The agent is designed to handle all major treaty types, including quota share, surplus, excess of loss, stop loss, and aggregate excess treaties. It adapts its analysis to the specific structure and terms of each treaty type.
+
Can it analyze both proportional and non-proportional treaties?
Yes. The agent is designed to handle all major treaty types, including quota share, surplus, excess of loss, stop loss, and aggregate excess treaties. It adapts its analysis to the specific structure and terms of each treaty type.
+
How does it determine coverage for specific catastrophic events?
The agent maps treaty definitions, territorial scope, and peril coverage against specific loss scenarios. It identifies which layers respond to hurricanes, earthquakes, or other events based on the treaty's terms, exclusions, and attachment points.
+
How does it determine coverage for specific catastrophic events?
The agent maps treaty definitions, territorial scope, and peril coverage against specific loss scenarios. It identifies which layers respond to hurricanes, earthquakes, or other events based on the treaty's terms, exclusions, and attachment points.
+
How does it determine coverage for specific catastrophic events?
The agent maps treaty definitions, territorial scope, and peril coverage against specific loss scenarios. It identifies which layers respond to hurricanes, earthquakes, or other events based on the treaty's terms, exclusions, and attachment points.
+
What about treaties with complex reinstatement provisions?
The agent extracts all reinstatement terms, including the number of reinstatements, premium calculations, pro-rata conditions, and any special provisions. This data is structured for accurate modeling of treaty capacity across multiple loss events.
+
What about treaties with complex reinstatement provisions?
The agent extracts all reinstatement terms, including the number of reinstatements, premium calculations, pro-rata conditions, and any special provisions. This data is structured for accurate modeling of treaty capacity across multiple loss events.
+
What about treaties with complex reinstatement provisions?
The agent extracts all reinstatement terms, including the number of reinstatements, premium calculations, pro-rata conditions, and any special provisions. This data is structured for accurate modeling of treaty capacity across multiple loss events.
+
How accurate is the extraction of attachment points and limits?
The agent achieves high accuracy by using multi-step workflows designed specifically for financial data extraction. Every extracted figure is visually linked to its source in the treaty document, allowing for quick verification of critical terms.
+
How accurate is the extraction of attachment points and limits?
The agent achieves high accuracy by using multi-step workflows designed specifically for financial data extraction. Every extracted figure is visually linked to its source in the treaty document, allowing for quick verification of critical terms.
+
How accurate is the extraction of attachment points and limits?
The agent achieves high accuracy by using multi-step workflows designed specifically for financial data extraction. Every extracted figure is visually linked to its source in the treaty document, allowing for quick verification of critical terms.
+
Can it integrate with our catastrophe modeling platform?
Yes. The agent delivers structured treaty data in formats compatible with major catastrophe modeling platforms. This eliminates manual data entry and ensures your models accurately reflect the coverage structure of each treaty.
+
Can it integrate with our catastrophe modeling platform?
Yes. The agent delivers structured treaty data in formats compatible with major catastrophe modeling platforms. This eliminates manual data entry and ensures your models accurately reflect the coverage structure of each treaty.
+
Can it integrate with our catastrophe modeling platform?
Yes. The agent delivers structured treaty data in formats compatible with major catastrophe modeling platforms. This eliminates manual data entry and ensures your models accurately reflect the coverage structure of each treaty.
+
Next steps
Next steps
Facing a stack of treaty renewals with tight deadlines?
Send us a sample treaty slip or wording, and we'll show you how our agent extracts coverage layers and identifies gaps in minutes instead of 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: