90% faster initial review
AI agent for Model Risk Validators
From weeks of review to hours
Delegate the initial validation review to a specialized AI agent. It analyzes model documentation packages, extracts key assumptions and limitations, verifies testing coverage, and identifies potential compliance gaps, allowing your validation team to focus on expert judgment and risk assessment.
Ideal for
Model Risk Management
Model Validation Teams
Risk & Compliance
See AI agent for Model Risk Validators in action
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See AI agent for Model Risk Validators in action
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See AI agent for Model Risk Validators in action
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Credit Risk Model Validation
See AI agent for Model Risk Validators in action
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Time comparison
Time comparison
Traditional way
2-3 weeks
With V7 Go agents
3-4 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Documentation Analysis
Extracts model purpose, scope, assumptions, limitations, and methodology from technical documentation, creating a structured summary of key model components for validation review.
Automated Documentation Analysis
Extracts model purpose, scope, assumptions, limitations, and methodology from technical documentation, creating a structured summary of key model components for validation review.
Automated Documentation Analysis
Extracts model purpose, scope, assumptions, limitations, and methodology from technical documentation, creating a structured summary of key model components for validation review.
Automated Documentation Analysis
Extracts model purpose, scope, assumptions, limitations, and methodology from technical documentation, creating a structured summary of key model components for validation review.
Testing Coverage Verification
Analyzes testing documentation to verify that sensitivity analysis, scenario testing, and back-testing cover all material risk drivers and model assumptions as required by regulatory standards.
Testing Coverage Verification
Analyzes testing documentation to verify that sensitivity analysis, scenario testing, and back-testing cover all material risk drivers and model assumptions as required by regulatory standards.
Testing Coverage Verification
Analyzes testing documentation to verify that sensitivity analysis, scenario testing, and back-testing cover all material risk drivers and model assumptions as required by regulatory standards.
Testing Coverage Verification
Analyzes testing documentation to verify that sensitivity analysis, scenario testing, and back-testing cover all material risk drivers and model assumptions as required by regulatory standards.
Compliance Gap Identification
Compares model documentation against SR 11-7 requirements and internal validation standards to identify missing elements, insufficient documentation, or potential regulatory concerns.
Compliance Gap Identification
Compares model documentation against SR 11-7 requirements and internal validation standards to identify missing elements, insufficient documentation, or potential regulatory concerns.
Compliance Gap Identification
Compares model documentation against SR 11-7 requirements and internal validation standards to identify missing elements, insufficient documentation, or potential regulatory concerns.
Compliance Gap Identification
Compares model documentation against SR 11-7 requirements and internal validation standards to identify missing elements, insufficient documentation, or potential regulatory concerns.
Limitation and Assumption Extraction
Identifies and catalogs all stated model limitations, key assumptions, and data quality issues from documentation, ensuring validators can assess their materiality and appropriateness.
Limitation and Assumption Extraction
Identifies and catalogs all stated model limitations, key assumptions, and data quality issues from documentation, ensuring validators can assess their materiality and appropriateness.
Limitation and Assumption Extraction
Identifies and catalogs all stated model limitations, key assumptions, and data quality issues from documentation, ensuring validators can assess their materiality and appropriateness.
Limitation and Assumption Extraction
Identifies and catalogs all stated model limitations, key assumptions, and data quality issues from documentation, ensuring validators can assess their materiality and appropriateness.
Change Impact Assessment
Compares current model documentation against previous versions to identify material changes in methodology, assumptions, or scope that require enhanced validation scrutiny.
Change Impact Assessment
Compares current model documentation against previous versions to identify material changes in methodology, assumptions, or scope that require enhanced validation scrutiny.
Change Impact Assessment
Compares current model documentation against previous versions to identify material changes in methodology, assumptions, or scope that require enhanced validation scrutiny.
Change Impact Assessment
Compares current model documentation against previous versions to identify material changes in methodology, assumptions, or scope that require enhanced validation scrutiny.
Audit Trail Documentation
Creates a complete record of the validation review with citations linking every finding back to specific pages and sections in the source documentation for regulatory examination readiness.
Audit Trail Documentation
Creates a complete record of the validation review with citations linking every finding back to specific pages and sections in the source documentation for regulatory examination readiness.
Audit Trail Documentation
Creates a complete record of the validation review with citations linking every finding back to specific pages and sections in the source documentation for regulatory examination readiness.
Audit Trail Documentation
Creates a complete record of the validation review with citations linking every finding back to specific pages and sections in the source documentation for regulatory examination readiness.
Analyzes complete model documentation
To deliver comprehensive validation insights.
Get started
Get started
Import your files
Microsoft Sharepoint Online
,
Microsoft Excel
,
Confluence
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your validation framework.
Connect AI to your validation framework.
Turn model documentation into structured validation insights.
Turn model documentation into structured validation insights.
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.
Model documentation comes in varied formats. This agent processes technical specifications with mathematical notation, Excel-based testing results with complex formulas, and narrative documentation with embedded tables and charts.
Input types
Mathematical Formulas
Statistical Notation
200 pages
Multi-modal
Document types
PDFs
Excel Models
Complex Tables
Charts
Technical Diagrams
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Model documentation comes in varied formats. This agent processes technical specifications with mathematical notation, Excel-based testing results with complex formulas, and narrative documentation with embedded tables and charts.
Input types
Mathematical Formulas
Statistical Notation
200 pages
Multi-modal
Document types
PDFs
Excel Models
Complex Tables
Charts
Technical Diagrams
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Model documentation comes in varied formats. This agent processes technical specifications with mathematical notation, Excel-based testing results with complex formulas, and narrative documentation with embedded tables and charts.
Input types
Mathematical Formulas
Statistical Notation
200 pages
Multi-modal
Document types
PDFs
Excel Models
Complex Tables
Charts
Technical Diagrams
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
Model validation demands precision. The agent uses sophisticated workflows to accurately extract model assumptions, testing parameters, and compliance requirements from technical documentation without introducing errors.
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.
Model validation demands precision. The agent uses sophisticated workflows to accurately extract model assumptions, testing parameters, and compliance requirements from technical documentation without introducing errors.
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.
Model validation demands precision. The agent uses sophisticated workflows to accurately extract model assumptions, testing parameters, and compliance requirements from technical documentation without introducing errors.
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 validation finding is defensible. Each extracted assumption, identified gap, and compliance issue is visually linked to its exact location in the source documentation, creating a complete audit trail for regulatory examination.
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.
Every validation finding is defensible. Each extracted assumption, identified gap, and compliance issue is visually linked to its exact location in the source documentation, creating a complete audit trail for regulatory examination.
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 validation finding is defensible. Each extracted assumption, identified gap, and compliance issue is visually linked to its exact location in the source documentation, creating a complete audit trail for regulatory examination.
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.
Model documentation contains proprietary methodologies and sensitive risk data. V7 Go processes all validation materials within your secure environment, ensuring confidentiality and compliance with information security requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Model documentation contains proprietary methodologies and sensitive risk data. V7 Go processes all validation materials within your secure environment, ensuring confidentiality and compliance with information security requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Model documentation contains proprietary methodologies and sensitive risk data. V7 Go processes all validation materials within your secure environment, ensuring confidentiality and compliance with information security requirements.
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 Model Risk Validators
How does the agent handle complex quantitative models?
The agent is designed to process technical model documentation including mathematical formulas, statistical methodologies, and quantitative testing results. It extracts key model components and testing coverage without requiring the model to be rebuilt or re-run.
+
How does the agent handle complex quantitative models?
The agent is designed to process technical model documentation including mathematical formulas, statistical methodologies, and quantitative testing results. It extracts key model components and testing coverage without requiring the model to be rebuilt or re-run.
+
How does the agent handle complex quantitative models?
The agent is designed to process technical model documentation including mathematical formulas, statistical methodologies, and quantitative testing results. It extracts key model components and testing coverage without requiring the model to be rebuilt or re-run.
+
Can it validate models across different risk types?
Yes. The agent handles credit risk models, market risk models, operational risk models, CECL models, stress testing models, and other quantitative frameworks. It adapts to different model types and regulatory requirements.
+
Can it validate models across different risk types?
Yes. The agent handles credit risk models, market risk models, operational risk models, CECL models, stress testing models, and other quantitative frameworks. It adapts to different model types and regulatory requirements.
+
Can it validate models across different risk types?
Yes. The agent handles credit risk models, market risk models, operational risk models, CECL models, stress testing models, and other quantitative frameworks. It adapts to different model types and regulatory requirements.
+
How does it know our internal validation standards?
The agent connects to your Knowledge Hub containing internal model risk management policies, validation standards, and regulatory guidance. This ensures reviews are consistent with your firm's specific requirements beyond baseline SR 11-7 compliance.
+
How does it know our internal validation standards?
The agent connects to your Knowledge Hub containing internal model risk management policies, validation standards, and regulatory guidance. This ensures reviews are consistent with your firm's specific requirements beyond baseline SR 11-7 compliance.
+
How does it know our internal validation standards?
The agent connects to your Knowledge Hub containing internal model risk management policies, validation standards, and regulatory guidance. This ensures reviews are consistent with your firm's specific requirements beyond baseline SR 11-7 compliance.
+
Does this replace the need for expert validators?
No. The agent automates the initial documentation review and compliance checking, but expert validators remain essential for assessing model conceptual soundness, evaluating the appropriateness of assumptions, and making final validation judgments.
+
Does this replace the need for expert validators?
No. The agent automates the initial documentation review and compliance checking, but expert validators remain essential for assessing model conceptual soundness, evaluating the appropriateness of assumptions, and making final validation judgments.
+
Does this replace the need for expert validators?
No. The agent automates the initial documentation review and compliance checking, but expert validators remain essential for assessing model conceptual soundness, evaluating the appropriateness of assumptions, and making final validation judgments.
+
How does it handle model testing spreadsheets?
The agent can process Excel-based testing results, extracting sensitivity analysis outputs, scenario test results, and back-testing statistics. It verifies that testing coverage aligns with documented model assumptions and risk drivers.
+
How does it handle model testing spreadsheets?
The agent can process Excel-based testing results, extracting sensitivity analysis outputs, scenario test results, and back-testing statistics. It verifies that testing coverage aligns with documented model assumptions and risk drivers.
+
How does it handle model testing spreadsheets?
The agent can process Excel-based testing results, extracting sensitivity analysis outputs, scenario test results, and back-testing statistics. It verifies that testing coverage aligns with documented model assumptions and risk drivers.
+
What is the output format?
The agent delivers a structured validation summary with extracted model components, identified documentation gaps, testing coverage analysis, and compliance findings. All outputs include citations to source documents for verification and audit purposes.
+
What is the output format?
The agent delivers a structured validation summary with extracted model components, identified documentation gaps, testing coverage analysis, and compliance findings. All outputs include citations to source documents for verification and audit purposes.
+
What is the output format?
The agent delivers a structured validation summary with extracted model components, identified documentation gaps, testing coverage analysis, and compliance findings. All outputs include citations to source documents for verification and audit purposes.
+
Next steps
Next steps
Facing a backlog of model validations?
Send us a sample model documentation package, and we'll demonstrate how our agent can accelerate your validation review process.
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: