Answer coverage questions 95% faster
Insurance Policy Review Agent
Get instant answers from any policy
Delegate the tedious task of policy reading to a specialized AI agent. Ask plain-language questions about coverage and get back clear, cited answers by an agent that understands policy structure, endorsements, and exclusions.

Ideal for
Insurance Brokers
Underwriters
Risk Managers

See Insurance Policy Review Agent in action
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Cyber Policy Coverage Check
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Time comparison
Time comparison
Traditional way
2-4 hours per policy
2-4 hours per policy
With V7 Go agents
5-10 minutes
5-10 minutes
Average time saved
95%
95%
Why V7 Go
Why V7 Go
Coverage & Sub-limit Extraction
Automatically identifies all insuring agreements and extracts their associated limits, sub-limits, and deductibles into a structured summary.
Coverage & Sub-limit Extraction
Automatically identifies all insuring agreements and extracts their associated limits, sub-limits, and deductibles into a structured summary.
Coverage & Sub-limit Extraction
Automatically identifies all insuring agreements and extracts their associated limits, sub-limits, and deductibles into a structured summary.
Coverage & Sub-limit Extraction
Automatically identifies all insuring agreements and extracts their associated limits, sub-limits, and deductibles into a structured summary.
Exclusion & Endorsement Analysis
Reads through the entire policy, including all endorsements, to find and flag critical exclusions or amendments that significantly alter the scope of coverage.
Exclusion & Endorsement Analysis
Reads through the entire policy, including all endorsements, to find and flag critical exclusions or amendments that significantly alter the scope of coverage.
Exclusion & Endorsement Analysis
Reads through the entire policy, including all endorsements, to find and flag critical exclusions or amendments that significantly alter the scope of coverage.
Exclusion & Endorsement Analysis
Reads through the entire policy, including all endorsements, to find and flag critical exclusions or amendments that significantly alter the scope of coverage.
Policy Form Comparison
Compares multiple policy forms side-by-side, automatically highlighting differences in wording, limits, and exclusions to help you secure the best terms.
Policy Form Comparison
Compares multiple policy forms side-by-side, automatically highlighting differences in wording, limits, and exclusions to help you secure the best terms.
Policy Form Comparison
Compares multiple policy forms side-by-side, automatically highlighting differences in wording, limits, and exclusions to help you secure the best terms.
Policy Form Comparison
Compares multiple policy forms side-by-side, automatically highlighting differences in wording, limits, and exclusions to help you secure the best terms.
Definition & Condition Search
Understands the structure of a policy to instantly find and present key definitions and conditions, such as the definition of 'Named Insured' or the 'Notice of Claim' requirements.
Definition & Condition Search
Understands the structure of a policy to instantly find and present key definitions and conditions, such as the definition of 'Named Insured' or the 'Notice of Claim' requirements.
Definition & Condition Search
Understands the structure of a policy to instantly find and present key definitions and conditions, such as the definition of 'Named Insured' or the 'Notice of Claim' requirements.
Definition & Condition Search
Understands the structure of a policy to instantly find and present key definitions and conditions, such as the definition of 'Named Insured' or the 'Notice of Claim' requirements.
Natural Language Q&A
Ask plain-language questions about coverage scenarios (e.g., 'is flooding covered?') and get back clear, cited answers based on the specific wording of the policy.
Natural Language Q&A
Ask plain-language questions about coverage scenarios (e.g., 'is flooding covered?') and get back clear, cited answers based on the specific wording of the policy.
Natural Language Q&A
Ask plain-language questions about coverage scenarios (e.g., 'is flooding covered?') and get back clear, cited answers based on the specific wording of the policy.
Natural Language Q&A
Ask plain-language questions about coverage scenarios (e.g., 'is flooding covered?') and get back clear, cited answers based on the specific wording of the policy.
Portfolio-Wide Intelligence
Process your entire book of business to create a searchable database of all in-force policies, allowing you to quickly identify clients affected by a new court ruling or catastrophic event.
Portfolio-Wide Intelligence
Process your entire book of business to create a searchable database of all in-force policies, allowing you to quickly identify clients affected by a new court ruling or catastrophic event.
Portfolio-Wide Intelligence
Process your entire book of business to create a searchable database of all in-force policies, allowing you to quickly identify clients affected by a new court ruling or catastrophic event.
Portfolio-Wide Intelligence
Process your entire book of business to create a searchable database of all in-force policies, allowing you to quickly identify clients affected by a new court ruling or catastrophic event.
Extracts key intelligence from any policy document
To provide instant clarity on coverage.
Get started
Get started
Import your files
Guidewire
,
Applied Epic
,
Duck Creek
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 policy library.
Connect AI to your policy library.
Provide faster, more accurate answers to your clients.
Provide faster, more accurate answers to your clients.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
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
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
“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
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
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
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
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 policies are notoriously complex. This agent is designed to navigate 150+ page documents, understanding the structure of declarations, endorsements, and policy forms, even in low-quality scanned PDFs from archives.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
URL
Complex Tables
Handwritten Notes
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Insurance policies are notoriously complex. This agent is designed to navigate 150+ page documents, understanding the structure of declarations, endorsements, and policy forms, even in low-quality scanned PDFs from archives.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
URL
Complex Tables
Handwritten Notes
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Insurance policies are notoriously complex. This agent is designed to navigate 150+ page documents, understanding the structure of declarations, endorsements, and policy forms, even in low-quality scanned PDFs from archives.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
URL
Complex Tables
Handwritten Notes
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Providing correct coverage advice is paramount. The agent uses AI reasoning to understand nuanced insurance terminology, ensuring that limits, sub-limits, and the applicability of exclusions are interpreted with high precision.
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.
Providing correct coverage advice is paramount. The agent uses AI reasoning to understand nuanced insurance terminology, ensuring that limits, sub-limits, and the applicability of exclusions are interpreted with high precision.
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.
Providing correct coverage advice is paramount. The agent uses AI reasoning to understand nuanced insurance terminology, ensuring that limits, sub-limits, and the applicability of exclusions are interpreted with high precision.
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 coverage answer is 100% defensible. The agent provides visual citations that link every extracted limit, definition, and exclusion back to the specific sentence in the original policy document, providing an unimpeachable audit trail.

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 coverage answer is 100% defensible. The agent provides visual citations that link every extracted limit, definition, and exclusion back to the specific sentence in the original policy document, providing an unimpeachable audit trail.

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 coverage answer is 100% defensible. The agent provides visual citations that link every extracted limit, definition, and exclusion back to the specific sentence in the original policy document, providing an unimpeachable audit trail.

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.
Insurance policies contain confidential information about clients' assets and operations. V7 Go ensures this data remains private by processing documents within your secure environment, adhering to strict data protection regulations.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Insurance policies contain confidential information about clients' assets and operations. V7 Go ensures this data remains private by processing documents within your secure environment, adhering to strict data protection regulations.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Insurance policies contain confidential information about clients' assets and operations. V7 Go ensures this data remains private by processing documents within your secure environment, adhering to strict data protection regulations.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Next steps
Next steps
Still searching 150-page PDFs to answer one coverage question?
Send us one of your common policy forms, and we'll show you how the agent can turn it into a searchable, intelligent document 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:
Answers
Answers
What you need to know about our
Insurance Policy Review Agent
How does it handle the complex jargon and structure of insurance policies?
The underlying AI models are familiar with legal and insurance terminology. The agent is configured to understand the typical structure of an insurance policy, including declarations, insuring agreements, conditions, exclusions, and endorsements.
+
How does it handle the complex jargon and structure of insurance policies?
The underlying AI models are familiar with legal and insurance terminology. The agent is configured to understand the typical structure of an insurance policy, including declarations, insuring agreements, conditions, exclusions, and endorsements.
+
How does it handle the complex jargon and structure of insurance policies?
The underlying AI models are familiar with legal and insurance terminology. The agent is configured to understand the typical structure of an insurance policy, including declarations, insuring agreements, conditions, exclusions, and endorsements.
+
Can it compare a carrier's quote to our expiring policy?
Yes. This is a primary use case. The agent can run a side-by-side comparison of two policies and generate a report that highlights any differences in wording, limits, or key clauses, accelerating the renewal process.
+
Can it compare a carrier's quote to our expiring policy?
Yes. This is a primary use case. The agent can run a side-by-side comparison of two policies and generate a report that highlights any differences in wording, limits, or key clauses, accelerating the renewal process.
+
Can it compare a carrier's quote to our expiring policy?
Yes. This is a primary use case. The agent can run a side-by-side comparison of two policies and generate a report that highlights any differences in wording, limits, or key clauses, accelerating the renewal process.
+
How do we know the extracted information is accurate?
Every piece of data extracted—every limit, deductible, and exclusion—is supported by a visual citation. You can click on any output and be taken to the precise sentence in the source policy document where the information was found.
+
How do we know the extracted information is accurate?
Every piece of data extracted—every limit, deductible, and exclusion—is supported by a visual citation. You can click on any output and be taken to the precise sentence in the source policy document where the information was found.
+
How do we know the extracted information is accurate?
Every piece of data extracted—every limit, deductible, and exclusion—is supported by a visual citation. You can click on any output and be taken to the precise sentence in the source policy document where the information was found.
+
Is this limited to certain lines of insurance, like Property or Casualty?
No, the agent is line-of-business agnostic. It can be configured to analyze any type of policy, including General Liability, Cyber, D&O, E&O, Marine, or complex packaged policies, by adapting to their unique language and structure.
+
Is this limited to certain lines of insurance, like Property or Casualty?
No, the agent is line-of-business agnostic. It can be configured to analyze any type of policy, including General Liability, Cyber, D&O, E&O, Marine, or complex packaged policies, by adapting to their unique language and structure.
+
Is this limited to certain lines of insurance, like Property or Casualty?
No, the agent is line-of-business agnostic. It can be configured to analyze any type of policy, including General Liability, Cyber, D&O, E&O, Marine, or complex packaged policies, by adapting to their unique language and structure.
+
What's the difference between this and just using CTRL+F?
CTRL+F can't understand context. It can't tell you if a 'virus' exclusion applies to a computer virus or a biological one. The agent understands legal and technical meaning, providing a much more intelligent and reliable analysis.
+
What's the difference between this and just using CTRL+F?
CTRL+F can't understand context. It can't tell you if a 'virus' exclusion applies to a computer virus or a biological one. The agent understands legal and technical meaning, providing a much more intelligent and reliable analysis.
+
What's the difference between this and just using CTRL+F?
CTRL+F can't understand context. It can't tell you if a 'virus' exclusion applies to a computer virus or a biological one. The agent understands legal and technical meaning, providing a much more intelligent and reliable analysis.
+
Can it handle scanned, legacy policies from our archives?
Yes. The platform includes advanced OCR technology designed to accurately read and digitize text from scanned documents, even those with lower image quality, making your entire policy archive searchable and intelligent.
+
Can it handle scanned, legacy policies from our archives?
Yes. The platform includes advanced OCR technology designed to accurately read and digitize text from scanned documents, even those with lower image quality, making your entire policy archive searchable and intelligent.
+
Can it handle scanned, legacy policies from our archives?
Yes. The platform includes advanced OCR technology designed to accurately read and digitize text from scanned documents, even those with lower image quality, making your entire policy archive searchable and intelligent.
+