90% faster covenant analysis
AI agent for Leveraged Finance Bankers
From days of covenant analysis to minutes
Delegate covenant extraction to a specialized AI agent built for leveraged finance. It reads credit agreements, identifies all negative covenant baskets, extracts capacity calculations, and builds compliance matrices automatically, freeing your team to focus on structuring and negotiation.
Ideal for
Leveraged Finance Teams
Credit Analysis
Debt Capital Markets
See AI agent for Leveraged Finance Bankers in action
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See AI agent for Leveraged Finance Bankers in action
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See AI agent for Leveraged Finance Bankers in action
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Credit Agreement Analysis
See AI agent for Leveraged Finance Bankers in action
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Time comparison
Time comparison
Traditional way
2-3 days
With V7 Go agents
15-20 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Negative Covenant Extraction
Automatically identifies and extracts all negative covenant baskets from credit agreements, including debt incurrence, liens, restricted payments, investments, asset sales, and affiliate transactions.
Negative Covenant Extraction
Automatically identifies and extracts all negative covenant baskets from credit agreements, including debt incurrence, liens, restricted payments, investments, asset sales, and affiliate transactions.
Negative Covenant Extraction
Automatically identifies and extracts all negative covenant baskets from credit agreements, including debt incurrence, liens, restricted payments, investments, asset sales, and affiliate transactions.
Negative Covenant Extraction
Automatically identifies and extracts all negative covenant baskets from credit agreements, including debt incurrence, liens, restricted payments, investments, asset sales, and affiliate transactions.
Basket Capacity Calculation
Extracts the mathematical formulas and financial tests that determine basket capacity, including ratio tests, fixed dollar amounts, available amounts, and builder basket mechanics.
Basket Capacity Calculation
Extracts the mathematical formulas and financial tests that determine basket capacity, including ratio tests, fixed dollar amounts, available amounts, and builder basket mechanics.
Basket Capacity Calculation
Extracts the mathematical formulas and financial tests that determine basket capacity, including ratio tests, fixed dollar amounts, available amounts, and builder basket mechanics.
Basket Capacity Calculation
Extracts the mathematical formulas and financial tests that determine basket capacity, including ratio tests, fixed dollar amounts, available amounts, and builder basket mechanics.
Carve-Out Identification
Identifies all exceptions and carve-outs within each basket, including general baskets, permitted liens, permitted investments, and other standard exclusions that affect covenant flexibility.
Carve-Out Identification
Identifies all exceptions and carve-outs within each basket, including general baskets, permitted liens, permitted investments, and other standard exclusions that affect covenant flexibility.
Carve-Out Identification
Identifies all exceptions and carve-outs within each basket, including general baskets, permitted liens, permitted investments, and other standard exclusions that affect covenant flexibility.
Carve-Out Identification
Identifies all exceptions and carve-outs within each basket, including general baskets, permitted liens, permitted investments, and other standard exclusions that affect covenant flexibility.
Cross-Reference Resolution
Follows definition chains across the entire credit agreement to resolve cross-referenced terms, ensuring accurate interpretation of basket language and capacity calculations.
Cross-Reference Resolution
Follows definition chains across the entire credit agreement to resolve cross-referenced terms, ensuring accurate interpretation of basket language and capacity calculations.
Cross-Reference Resolution
Follows definition chains across the entire credit agreement to resolve cross-referenced terms, ensuring accurate interpretation of basket language and capacity calculations.
Cross-Reference Resolution
Follows definition chains across the entire credit agreement to resolve cross-referenced terms, ensuring accurate interpretation of basket language and capacity calculations.
Compliance Matrix Generation
Outputs structured data in Excel format that populates your covenant compliance tracking templates, ready for ongoing monitoring and reporting to credit committees.
Compliance Matrix Generation
Outputs structured data in Excel format that populates your covenant compliance tracking templates, ready for ongoing monitoring and reporting to credit committees.
Compliance Matrix Generation
Outputs structured data in Excel format that populates your covenant compliance tracking templates, ready for ongoing monitoring and reporting to credit committees.
Compliance Matrix Generation
Outputs structured data in Excel format that populates your covenant compliance tracking templates, ready for ongoing monitoring and reporting to credit committees.
Cited and Verifiable
Every extracted basket, capacity test, and carve-out is visually linked to its precise location in the credit agreement, providing a complete audit trail for credit approval and documentation.
Cited and Verifiable
Every extracted basket, capacity test, and carve-out is visually linked to its precise location in the credit agreement, providing a complete audit trail for credit approval and documentation.
Cited and Verifiable
Every extracted basket, capacity test, and carve-out is visually linked to its precise location in the credit agreement, providing a complete audit trail for credit approval and documentation.
Cited and Verifiable
Every extracted basket, capacity test, and carve-out is visually linked to its precise location in the credit agreement, providing a complete audit trail for credit approval and documentation.
Analyzes any credit agreement structure
To extract every covenant basket and capacity test.
Get started
Get started
Import your files
Microsoft Excel
,
Microsoft Sharepoint Online
,
Google Drive
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 credit policies.
Connect AI to your credit policies.
Turn covenant analysis into structured, verifiable data.
Turn covenant analysis into structured, verifiable data.
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.
Credit agreements are dense, heavily cross-referenced documents with complex nested definitions. This agent handles everything from standard market credit agreements to bespoke covenant packages with custom basket structures and non-standard carve-outs.
Input types
50+ languages
Nested Definitions
200 pages
Multi-modal
Document types
PDFs
Complex Tables
Cross-References
Formulas
Exhibits
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Credit agreements are dense, heavily cross-referenced documents with complex nested definitions. This agent handles everything from standard market credit agreements to bespoke covenant packages with custom basket structures and non-standard carve-outs.
Input types
50+ languages
Nested Definitions
200 pages
Multi-modal
Document types
PDFs
Complex Tables
Cross-References
Formulas
Exhibits
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Credit agreements are dense, heavily cross-referenced documents with complex nested definitions. This agent handles everything from standard market credit agreements to bespoke covenant packages with custom basket structures and non-standard carve-outs.
Input types
50+ languages
Nested Definitions
200 pages
Multi-modal
Document types
PDFs
Complex Tables
Cross-References
Formulas
Exhibits
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
Covenant analysis demands precision. The agent uses multi-step reasoning to interpret basket language, resolve cross-references, and extract capacity calculations with the accuracy required for credit approval and ongoing compliance monitoring.
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.
Covenant analysis demands precision. The agent uses multi-step reasoning to interpret basket language, resolve cross-references, and extract capacity calculations with the accuracy required for credit approval and ongoing compliance monitoring.
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.
Covenant analysis demands precision. The agent uses multi-step reasoning to interpret basket language, resolve cross-references, and extract capacity calculations with the accuracy required for credit approval and ongoing compliance monitoring.
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 extracted basket, capacity test, and carve-out is visually linked to its exact location in the credit agreement. This provides a complete audit trail for credit committee presentations and eliminates the need to manually verify extracted provisions.
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 extracted basket, capacity test, and carve-out is visually linked to its exact location in the credit agreement. This provides a complete audit trail for credit committee presentations and eliminates the need to manually verify extracted provisions.
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 basket, capacity test, and carve-out is visually linked to its exact location in the credit agreement. This provides a complete audit trail for credit committee presentations and eliminates the need to manually verify extracted provisions.
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.
Credit agreements contain highly confidential deal terms and borrower financial information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with information barrier requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Credit agreements contain highly confidential deal terms and borrower financial information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with information barrier requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Credit agreements contain highly confidential deal terms and borrower financial information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with information barrier 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 Leveraged Finance Bankers
How does it handle complex basket definitions?
The agent is designed to parse the nested, cross-referenced structure of credit agreement language. It follows definition chains, resolves parenthetical references, and understands the mathematical logic of ratio tests and available amount calculations.
+
How does it handle complex basket definitions?
The agent is designed to parse the nested, cross-referenced structure of credit agreement language. It follows definition chains, resolves parenthetical references, and understands the mathematical logic of ratio tests and available amount calculations.
+
How does it handle complex basket definitions?
The agent is designed to parse the nested, cross-referenced structure of credit agreement language. It follows definition chains, resolves parenthetical references, and understands the mathematical logic of ratio tests and available amount calculations.
+
Can it differentiate between different types of baskets?
Yes. The agent categorizes baskets by type, including debt incurrence, liens, restricted payments, investments, asset sales, affiliate transactions, and prepayments. It also identifies whether baskets are ratio-based, fixed dollar, or available amount structures.
+
Can it differentiate between different types of baskets?
Yes. The agent categorizes baskets by type, including debt incurrence, liens, restricted payments, investments, asset sales, affiliate transactions, and prepayments. It also identifies whether baskets are ratio-based, fixed dollar, or available amount structures.
+
Can it differentiate between different types of baskets?
Yes. The agent categorizes baskets by type, including debt incurrence, liens, restricted payments, investments, asset sales, affiliate transactions, and prepayments. It also identifies whether baskets are ratio-based, fixed dollar, or available amount structures.
+
What about non-standard or bespoke covenant language?
The agent handles both market-standard and customized covenant packages. It identifies deviations from typical structures and flags unusual basket mechanics or carve-outs for senior banker review.
+
What about non-standard or bespoke covenant language?
The agent handles both market-standard and customized covenant packages. It identifies deviations from typical structures and flags unusual basket mechanics or carve-outs for senior banker review.
+
What about non-standard or bespoke covenant language?
The agent handles both market-standard and customized covenant packages. It identifies deviations from typical structures and flags unusual basket mechanics or carve-outs for senior banker review.
+
How accurate is the basket capacity extraction?
The agent achieves high accuracy by using multi-step reasoning to interpret financial tests and formulas. Every extracted capacity calculation is linked to the source text with Visual Grounding, allowing for quick verification of complex provisions.
+
How accurate is the basket capacity extraction?
The agent achieves high accuracy by using multi-step reasoning to interpret financial tests and formulas. Every extracted capacity calculation is linked to the source text with Visual Grounding, allowing for quick verification of complex provisions.
+
How accurate is the basket capacity extraction?
The agent achieves high accuracy by using multi-step reasoning to interpret financial tests and formulas. Every extracted capacity calculation is linked to the source text with Visual Grounding, allowing for quick verification of complex provisions.
+
Can it track changes across credit agreement amendments?
Yes. The agent can compare an original credit agreement to subsequent amendments, identifying which baskets have been modified, expanded, or added, helping you track covenant flexibility over the life of the facility.
+
Can it track changes across credit agreement amendments?
Yes. The agent can compare an original credit agreement to subsequent amendments, identifying which baskets have been modified, expanded, or added, helping you track covenant flexibility over the life of the facility.
+
Can it track changes across credit agreement amendments?
Yes. The agent can compare an original credit agreement to subsequent amendments, identifying which baskets have been modified, expanded, or added, helping you track covenant flexibility over the life of the facility.
+
What is the final output format?
The agent delivers structured data in Excel or JSON format, organized by covenant type and basket. This output can be customized to match your firm's internal covenant tracking templates and credit approval memorandum formats.
+
What is the final output format?
The agent delivers structured data in Excel or JSON format, organized by covenant type and basket. This output can be customized to match your firm's internal covenant tracking templates and credit approval memorandum formats.
+
What is the final output format?
The agent delivers structured data in Excel or JSON format, organized by covenant type and basket. This output can be customized to match your firm's internal covenant tracking templates and credit approval memorandum formats.
+
Next steps
Next steps
Still building covenant matrices by hand?
Send us a recent credit agreement and we'll show you how our agent extracts every negative covenant basket in minutes, not 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: