90% faster risk assessment
AI agent for Product Recall Underwriters
Model recall exposure in minutes, not days
Delegate complex product recall exposure analysis to a specialized AI agent. It processes quality control reports, supplier audit documentation, and historical recall data to model potential liability scenarios, identify high-risk supply chain nodes, and generate accurate premium recommendations for food safety and automotive recall coverage.
Ideal for
Product Recall Underwriters
Casualty Risk Teams
Supply Chain Risk Analysts
See AI agent for Product Recall Underwriters in action
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See AI agent for Product Recall Underwriters in action
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See AI agent for Product Recall Underwriters in action
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Food Manufacturer Recall Risk Assessment
See AI agent for Product Recall Underwriters in action
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Time comparison
Time comparison
Traditional way
3-5 days
With V7 Go agents
20-30 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Quality Control Report Analysis
Automatically extracts critical data from HACCP plans, sanitation protocols, testing results, and manufacturing process documentation to identify potential contamination vectors and control failures.
Quality Control Report Analysis
Automatically extracts critical data from HACCP plans, sanitation protocols, testing results, and manufacturing process documentation to identify potential contamination vectors and control failures.
Quality Control Report Analysis
Automatically extracts critical data from HACCP plans, sanitation protocols, testing results, and manufacturing process documentation to identify potential contamination vectors and control failures.
Quality Control Report Analysis
Automatically extracts critical data from HACCP plans, sanitation protocols, testing results, and manufacturing process documentation to identify potential contamination vectors and control failures.
Supplier Risk Profiling
Analyzes supplier audit reports, FDA inspection records, and third-party certifications to build comprehensive risk profiles for each node in the supply chain.
Supplier Risk Profiling
Analyzes supplier audit reports, FDA inspection records, and third-party certifications to build comprehensive risk profiles for each node in the supply chain.
Supplier Risk Profiling
Analyzes supplier audit reports, FDA inspection records, and third-party certifications to build comprehensive risk profiles for each node in the supply chain.
Supplier Risk Profiling
Analyzes supplier audit reports, FDA inspection records, and third-party certifications to build comprehensive risk profiles for each node in the supply chain.
Historical Recall Pattern Recognition
Cross-references current quality control data against historical recall databases to identify patterns that correlate with past contamination events and product withdrawals.
Historical Recall Pattern Recognition
Cross-references current quality control data against historical recall databases to identify patterns that correlate with past contamination events and product withdrawals.
Historical Recall Pattern Recognition
Cross-references current quality control data against historical recall databases to identify patterns that correlate with past contamination events and product withdrawals.
Historical Recall Pattern Recognition
Cross-references current quality control data against historical recall databases to identify patterns that correlate with past contamination events and product withdrawals.
Exposure Scenario Modeling
Generates multiple recall scenarios based on product distribution data, shelf life, and consumption patterns to model potential financial exposure across different contamination events.
Exposure Scenario Modeling
Generates multiple recall scenarios based on product distribution data, shelf life, and consumption patterns to model potential financial exposure across different contamination events.
Exposure Scenario Modeling
Generates multiple recall scenarios based on product distribution data, shelf life, and consumption patterns to model potential financial exposure across different contamination events.
Exposure Scenario Modeling
Generates multiple recall scenarios based on product distribution data, shelf life, and consumption patterns to model potential financial exposure across different contamination events.
Regulatory Compliance Verification
Validates manufacturing processes against FDA, USDA, and NHTSA requirements to identify compliance gaps that increase recall probability and regulatory penalties.
Regulatory Compliance Verification
Validates manufacturing processes against FDA, USDA, and NHTSA requirements to identify compliance gaps that increase recall probability and regulatory penalties.
Regulatory Compliance Verification
Validates manufacturing processes against FDA, USDA, and NHTSA requirements to identify compliance gaps that increase recall probability and regulatory penalties.
Regulatory Compliance Verification
Validates manufacturing processes against FDA, USDA, and NHTSA requirements to identify compliance gaps that increase recall probability and regulatory penalties.
Premium Recommendation Engine
Synthesizes all risk factors into quantified exposure metrics and generates data-driven premium recommendations with full audit trails linking pricing to specific quality control findings.
Premium Recommendation Engine
Synthesizes all risk factors into quantified exposure metrics and generates data-driven premium recommendations with full audit trails linking pricing to specific quality control findings.
Premium Recommendation Engine
Synthesizes all risk factors into quantified exposure metrics and generates data-driven premium recommendations with full audit trails linking pricing to specific quality control findings.
Premium Recommendation Engine
Synthesizes all risk factors into quantified exposure metrics and generates data-driven premium recommendations with full audit trails linking pricing to specific quality control findings.
Analyzes quality control and supplier documentation
To model product recall exposure with precision.
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 guidelines.
Connect AI to your underwriting guidelines.
Turn quality control submissions into accurate risk assessments.
Turn quality control submissions into accurate risk assessments.
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.
Quality control submissions arrive in countless formats. The agent processes HACCP plans with embedded process flows, supplier audits with photo documentation, testing results in complex tables, and regulatory inspection reports with handwritten annotations. It extracts critical risk indicators regardless of document structure.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Process Diagrams
Complex Tables
Photo Documentation
Test Results
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Quality control submissions arrive in countless formats. The agent processes HACCP plans with embedded process flows, supplier audits with photo documentation, testing results in complex tables, and regulatory inspection reports with handwritten annotations. It extracts critical risk indicators regardless of document structure.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Process Diagrams
Complex Tables
Photo Documentation
Test Results
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Quality control submissions arrive in countless formats. The agent processes HACCP plans with embedded process flows, supplier audits with photo documentation, testing results in complex tables, and regulatory inspection reports with handwritten annotations. It extracts critical risk indicators regardless of document structure.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Process Diagrams
Complex Tables
Photo Documentation
Test Results
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
Product recall underwriting demands precision. The agent uses multi-step workflows to ensure contamination risk indicators, supplier compliance scores, and exposure calculations are extracted with exceptional accuracy. Every metric is verified against regulatory standards before generating premium recommendations.
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.
Product recall underwriting demands precision. The agent uses multi-step workflows to ensure contamination risk indicators, supplier compliance scores, and exposure calculations are extracted with exceptional accuracy. Every metric is verified against regulatory standards before generating premium recommendations.
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.
Product recall underwriting demands precision. The agent uses multi-step workflows to ensure contamination risk indicators, supplier compliance scores, and exposure calculations are extracted with exceptional accuracy. Every metric is verified against regulatory standards before generating premium recommendations.
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.
Defend every underwriting decision with confidence. Each risk factor, exposure calculation, and premium recommendation is visually linked to its source in the quality control documentation. This creates an auditable trail that supports pricing decisions and regulatory examinations.
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.
Defend every underwriting decision with confidence. Each risk factor, exposure calculation, and premium recommendation is visually linked to its source in the quality control documentation. This creates an auditable trail that supports pricing decisions and regulatory examinations.
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.
Defend every underwriting decision with confidence. Each risk factor, exposure calculation, and premium recommendation is visually linked to its source in the quality control documentation. This creates an auditable trail that supports pricing decisions and regulatory examinations.
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.
Quality control reports contain proprietary manufacturing processes and competitive intelligence. V7 Go processes these sensitive documents within your secure environment, ensuring confidentiality and compliance with data protection requirements. Your underwriting data is never used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Quality control reports contain proprietary manufacturing processes and competitive intelligence. V7 Go processes these sensitive documents within your secure environment, ensuring confidentiality and compliance with data protection requirements. Your underwriting data is never used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Quality control reports contain proprietary manufacturing processes and competitive intelligence. V7 Go processes these sensitive documents within your secure environment, ensuring confidentiality and compliance with data protection requirements. Your underwriting data is never 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 agent for Product Recall Underwriters
How does the agent differentiate between food and automotive recall risks?
The agent uses industry-specific risk frameworks. For food manufacturers, it focuses on contamination pathways, HACCP compliance, and supplier sanitation. For automotive, it analyzes component failure modes, safety testing protocols, and supplier quality management systems. The underlying exposure modeling adapts to each industry's unique risk profile.
+
How does the agent differentiate between food and automotive recall risks?
The agent uses industry-specific risk frameworks. For food manufacturers, it focuses on contamination pathways, HACCP compliance, and supplier sanitation. For automotive, it analyzes component failure modes, safety testing protocols, and supplier quality management systems. The underlying exposure modeling adapts to each industry's unique risk profile.
+
How does the agent differentiate between food and automotive recall risks?
The agent uses industry-specific risk frameworks. For food manufacturers, it focuses on contamination pathways, HACCP compliance, and supplier sanitation. For automotive, it analyzes component failure modes, safety testing protocols, and supplier quality management systems. The underlying exposure modeling adapts to each industry's unique risk profile.
+
What quality control documents can it process?
The agent handles HACCP plans, sanitation standard operating procedures, microbial testing results, supplier audit reports, FDA inspection records, ISO certifications, component testing data, failure mode analysis, and manufacturing process flow diagrams across multiple formats and document structures.
+
What quality control documents can it process?
The agent handles HACCP plans, sanitation standard operating procedures, microbial testing results, supplier audit reports, FDA inspection records, ISO certifications, component testing data, failure mode analysis, and manufacturing process flow diagrams across multiple formats and document structures.
+
What quality control documents can it process?
The agent handles HACCP plans, sanitation standard operating procedures, microbial testing results, supplier audit reports, FDA inspection records, ISO certifications, component testing data, failure mode analysis, and manufacturing process flow diagrams across multiple formats and document structures.
+
How does it model potential recall exposure?
The agent combines product distribution data, shelf life information, and consumption patterns with identified quality control gaps to model multiple recall scenarios. It calculates potential costs including product retrieval, disposal, notification, brand damage, and regulatory penalties for each scenario.
+
How does it model potential recall exposure?
The agent combines product distribution data, shelf life information, and consumption patterns with identified quality control gaps to model multiple recall scenarios. It calculates potential costs including product retrieval, disposal, notification, brand damage, and regulatory penalties for each scenario.
+
How does it model potential recall exposure?
The agent combines product distribution data, shelf life information, and consumption patterns with identified quality control gaps to model multiple recall scenarios. It calculates potential costs including product retrieval, disposal, notification, brand damage, and regulatory penalties for each scenario.
+
Can it identify emerging risks before recalls occur?
Yes. The agent flags early warning indicators like trending test failures, supplier audit deficiencies, and process control deviations that historically correlate with recall events. This allows underwriters to adjust pricing or recommend risk mitigation before contamination occurs.
+
Can it identify emerging risks before recalls occur?
Yes. The agent flags early warning indicators like trending test failures, supplier audit deficiencies, and process control deviations that historically correlate with recall events. This allows underwriters to adjust pricing or recommend risk mitigation before contamination occurs.
+
Can it identify emerging risks before recalls occur?
Yes. The agent flags early warning indicators like trending test failures, supplier audit deficiencies, and process control deviations that historically correlate with recall events. This allows underwriters to adjust pricing or recommend risk mitigation before contamination occurs.
+
How does it handle complex supply chains?
The agent maps multi-tier supply chains by analyzing supplier documentation and ingredient sourcing data. It identifies concentration risk where single suppliers serve multiple product lines and flags cascading exposure scenarios where one supplier failure could trigger multiple recalls.
+
How does it handle complex supply chains?
The agent maps multi-tier supply chains by analyzing supplier documentation and ingredient sourcing data. It identifies concentration risk where single suppliers serve multiple product lines and flags cascading exposure scenarios where one supplier failure could trigger multiple recalls.
+
How does it handle complex supply chains?
The agent maps multi-tier supply chains by analyzing supplier documentation and ingredient sourcing data. It identifies concentration risk where single suppliers serve multiple product lines and flags cascading exposure scenarios where one supplier failure could trigger multiple recalls.
+
Is every risk assessment fully auditable?
Absolutely. Every exposure calculation, risk factor, and premium recommendation is visually linked to specific findings in the quality control documentation. This creates a complete audit trail that supports underwriting decisions and regulatory compliance.
+
Is every risk assessment fully auditable?
Absolutely. Every exposure calculation, risk factor, and premium recommendation is visually linked to specific findings in the quality control documentation. This creates a complete audit trail that supports underwriting decisions and regulatory compliance.
+
Is every risk assessment fully auditable?
Absolutely. Every exposure calculation, risk factor, and premium recommendation is visually linked to specific findings in the quality control documentation. This creates a complete audit trail that supports underwriting decisions and regulatory compliance.
+
Next steps
Next steps
Still spending days reviewing quality control reports manually?
Send us a sample product recall submission, and we'll show you how our AI agent delivers comprehensive exposure analysis in minutes instead of days.
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: