85% faster credit review

AI Credit Agreement Analysis

AI Credit Agreement Analysis

AI Credit Agreement Analysis

AI Credit Agreement Analysis

Extract terms and monitor covenants automatically

Extract terms and monitor covenants automatically

Extract terms and monitor covenants automatically

Extract terms and monitor covenants automatically

V7 Go automates credit agreement analysis by extracting key terms, monitoring financial covenants, and identifying potential risks. Our AI agents process complex lending documents with precision, enabling faster credit decisions and proactive portfolio management.

Ideal for

Credit Analysts

Loan Officers

Risk Managers

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    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
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See Credit Agreements in action

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Credit Agreement Analysis

  • 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 Credit Agreements 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 Credit Agreements in action

Play video

Time comparison

Traditional review time

3-4 hours

3-4 hours

With V7 Go

10-15 minutes

10-15 minutes

Average time saved

85%

85%

Why V7 Go

Automated Term Extraction

Extract interest rates, maturity dates, loan amounts, and repayment terms from complex credit agreements automatically.

Covenant Monitoring

Identify and track financial covenants, maintenance requirements, and compliance thresholds with 99% accuracy.

Risk Assessment

Analyze security provisions, guarantees, and default conditions to assess lending risk comprehensively.

Compliance Tracking

Monitor regulatory compliance requirements and reporting obligations embedded in credit agreements.

Portfolio Management

Aggregate and analyze terms across loan portfolios for better risk management and pricing decisions.

Amendment Tracking

Track modifications and amendments to credit agreements, maintaining accurate historical records.

Get started

Get started

Process complex lending documents

Extract terms and monitor compliance

Get started

Import your files

,

Import your files from wherever they are currently stored

Import your files from wherever they are currently stored

The difference

Specialized AI solutions

for lending professionals

The difference

Finance teams work is about to make it's biggest shift in a century

Before

ChatGPT

V7 Go

Manual credit agreement analysis is labor-intensive and error-prone, yet critical for lending risk assessment.

Real competitive advantage comes from purpose-built AI systems, not off-the-shelf generic LLMs

Multiple agents available to do the work

Are there any clauses in our vendor contracts that create exposure or conflict with our standard terms?

Select and tailor agents to perfectly align with the specifics of your Credit Agreements

The difference

Specialized AI solutions

for lending professionals

The difference

Finance teams work is about to make it's biggest shift in a century

Before

ChatGPT

V7 Go

Analysts spend days manually reading 100+ page documents trying to spot subtle year-over-year changes in risk disclosures and MD&A.

Real competitive advantage comes from purpose-built AI systems, not off-the-shelf generic LLMs

Play video

Multiple agents available to do the work

Are there any clauses in our vendor contracts that create exposure or conflict with our standard terms?

Select and tailor agents to perfectly align with the specifics of your Credit Agreements

Play video

Customer Voices

Customer Voices

Designed for lending professionals who demand accuracy

Trusted by global teams delivering real impact

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

with ease

Handle extensive credit facilities with multiple tranches, complex covenant structures, and intricate security arrangements. V7 Go processes lengthy syndicated loan agreements, revolving credit facilities, and term loan documents, extracting critical lending terms from dense legal language and financial schedules through specialized banking workflows.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Financial Schedules

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents

with ease

Handle extensive credit facilities with multiple tranches, complex covenant structures, and intricate security arrangements. V7 Go processes lengthy syndicated loan agreements, revolving credit facilities, and term loan documents, extracting critical lending terms from dense legal language and financial schedules through specialized banking workflows.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Financial Schedules

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through

GenAI reasoning

Achieve banking-grade precision in covenant extraction and risk assessment through specialized financial reasoning. Our AI understands complex lending terminology, interprets financial ratio calculations, and accurately identifies covenant testing periods and maintenance requirements critical for credit risk management.

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

Achieve banking-grade precision in covenant extraction and risk assessment through specialized financial reasoning. Our AI understands complex lending terminology, interprets financial ratio calculations, and accurately identifies covenant testing periods and maintenance requirements critical for credit risk management.

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 extracted covenant, interest rate, and security provision is linked directly to its source location in the credit agreement. This visual grounding is essential for lending decisions where accuracy matters - loan officers can verify critical terms, auditors can trace covenant calculations, and risk managers can validate security arrangements with complete confidence.

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 extracted covenant, interest rate, and security provision is linked directly to its source location in the credit agreement. This visual grounding is essential for lending decisions where accuracy matters - loan officers can verify critical terms, auditors can trace covenant calculations, and risk managers can validate security arrangements with complete confidence.

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

Meet stringent banking security requirements with SOC 2 Type II compliance, end-to-end encryption, and regulatory-grade data protection. V7 Go integrates securely with core banking systems and loan management platforms while maintaining the confidentiality and integrity of sensitive credit information.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Meet stringent banking security requirements with SOC 2 Type II compliance, end-to-end encryption, and regulatory-grade data protection. V7 Go integrates securely with core banking systems and loan management platforms while maintaining the confidentiality and integrity of sensitive credit information.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

Credit Agreements

What types of credit agreement terms can V7 Go extract?

V7 Go can extract loan amounts, interest rates, maturity dates, financial covenants, security provisions, guarantees, default conditions, and repayment terms from various credit agreement formats.

+

How does V7 Go handle complex covenant structures?

V7 Go uses advanced AI reasoning to interpret complex financial covenants, maintenance requirements, and testing periods, providing clear summaries and monitoring alerts.

+

Can V7 Go process different types of credit facilities?

Yes, V7 Go processes various credit facilities including term loans, revolving credit lines, bridge financing, and syndicated loans with their specific terms and conditions.

+

How does V7 Go ensure accuracy in financial covenant extraction?

V7 Go employs specialized financial AI models trained on lending terminology, with built-in validation checks and human review workflows for critical covenant terms.

+

Can V7 Go integrate with loan management systems?

Yes, V7 Go integrates with major loan management platforms and core banking systems through APIs, enabling seamless data transfer and workflow automation.

+

How quickly can V7 Go analyze a credit agreement?

V7 Go can analyze a typical credit agreement in 10-15 minutes, compared to hours of manual review, providing immediate insights and structured data extraction.

+

Pilot

Accelerate your credit analysis workflow

Accelerate your credit analysis workflow

Join leading lenders using V7 Go for smarter credit decisions

Join leading lenders using V7 Go for smarter credit decisions

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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