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

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See AI agent for Model Risk Validators in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Model Risk Validators in action

Play video

Credit Risk Model Validation

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Model Risk Validators in action

Play video

Time comparison

Traditional way

2-3 weeks

With V7 Go agents

3-4 hours

Average time saved

90%

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.

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.

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.

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.

Customer voices

Customer voices

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

Customer Voices

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

12

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

12

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

OpenAI, Anthropic, Gemini logos

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

OpenAI, Anthropic, Gemini logos

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

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

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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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.

+

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.

+

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.

+

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

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:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit