90% faster vote collection

AI agent for Syndicated Loan Agents

From weeks of vote tracking to automated consensus

Delegate the complex coordination of multi-bank voting processes to a specialized AI agent. It tracks lender responses, verifies signing authority, calculates voting thresholds, and generates comprehensive consent reports, allowing your administrative team to focus on relationship management and deal execution.

Ideal for

Administrative Agents

Loan Operations

Syndication Teams

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    Mercedes-Benz logo
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    ABL logo
    Mercedes-Benz logo
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    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
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    Munch Energie Logo
    Certainty Sofrware logo
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    Bayer Logo
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See AI agent for Syndicated Loan Agents in action

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  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Syndicated Loan Agents in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Syndicated Loan Agents in action

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Amendment Vote - Meridian Credit Facility

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    SMC  logo
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    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Syndicated Loan Agents in action

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Time comparison

Time comparison

Traditional way

2-3 weeks per amendment

With V7 Go agents

2-3 days

Average time saved

85%

Why V7 Go

Why V7 Go

Automated Response Processing

Reads and categorizes lender responses from emails, consent forms, and voting platforms, extracting approval status, conditions, and comments without manual data entry.

Automated Response Processing

Reads and categorizes lender responses from emails, consent forms, and voting platforms, extracting approval status, conditions, and comments without manual data entry.

Automated Response Processing

Reads and categorizes lender responses from emails, consent forms, and voting platforms, extracting approval status, conditions, and comments without manual data entry.

Automated Response Processing

Reads and categorizes lender responses from emails, consent forms, and voting platforms, extracting approval status, conditions, and comments without manual data entry.

Authority Verification

Cross-references signatory names and titles against the credit agreement's authorized representative schedules, flagging any responses from unauthorized individuals for follow-up.

Authority Verification

Cross-references signatory names and titles against the credit agreement's authorized representative schedules, flagging any responses from unauthorized individuals for follow-up.

Authority Verification

Cross-references signatory names and titles against the credit agreement's authorized representative schedules, flagging any responses from unauthorized individuals for follow-up.

Authority Verification

Cross-references signatory names and titles against the credit agreement's authorized representative schedules, flagging any responses from unauthorized individuals for follow-up.

Threshold Calculation

Automatically calculates voting percentages based on commitment amounts, tracking progress toward required majorities and super-majorities as defined in the credit agreement.

Threshold Calculation

Automatically calculates voting percentages based on commitment amounts, tracking progress toward required majorities and super-majorities as defined in the credit agreement.

Threshold Calculation

Automatically calculates voting percentages based on commitment amounts, tracking progress toward required majorities and super-majorities as defined in the credit agreement.

Threshold Calculation

Automatically calculates voting percentages based on commitment amounts, tracking progress toward required majorities and super-majorities as defined in the credit agreement.

Conditional Approval Analysis

Identifies and categorizes conditional consents, extracting specific requirements and flagging potential conflicts with the proposed amendment terms.

Conditional Approval Analysis

Identifies and categorizes conditional consents, extracting specific requirements and flagging potential conflicts with the proposed amendment terms.

Conditional Approval Analysis

Identifies and categorizes conditional consents, extracting specific requirements and flagging potential conflicts with the proposed amendment terms.

Conditional Approval Analysis

Identifies and categorizes conditional consents, extracting specific requirements and flagging potential conflicts with the proposed amendment terms.

Non-Response Tracking

Monitors outstanding responses against deadline schedules, generating automated follow-up lists and escalation alerts for lenders who haven't voted.

Non-Response Tracking

Monitors outstanding responses against deadline schedules, generating automated follow-up lists and escalation alerts for lenders who haven't voted.

Non-Response Tracking

Monitors outstanding responses against deadline schedules, generating automated follow-up lists and escalation alerts for lenders who haven't voted.

Non-Response Tracking

Monitors outstanding responses against deadline schedules, generating automated follow-up lists and escalation alerts for lenders who haven't voted.

Consent Report Generation

Creates comprehensive voting summaries with full audit trails, including timestamped responses, commitment percentages, and condition summaries for borrower and legal counsel review.

Consent Report Generation

Creates comprehensive voting summaries with full audit trails, including timestamped responses, commitment percentages, and condition summaries for borrower and legal counsel review.

Consent Report Generation

Creates comprehensive voting summaries with full audit trails, including timestamped responses, commitment percentages, and condition summaries for borrower and legal counsel review.

Consent Report Generation

Creates comprehensive voting summaries with full audit trails, including timestamped responses, commitment percentages, and condition summaries for borrower and legal counsel review.

Processes all voting documentation

To deliver complete consent analysis and reporting.

Get started

Get started

Logo
Logo

Import your files

Salesforce

,

Microsoft Outlook

,

Microsoft Sharepoint Online

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your credit agreement.

Connect AI to your credit agreement.

Turn amendment coordination into automated consensus building.

Turn amendment coordination into automated consensus building.

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

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.

Lender responses arrive in every conceivable format. This agent handles formal consent letters, email confirmations, scanned signatures, and platform submissions. It extracts the critical voting information regardless of document structure or presentation.

Input types

50+ languages

Scanned Signatures

200 pages

Multi-modal

Document types

PDFs

Email Text

Tables

Signature Pages

Spreadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Lender responses arrive in every conceivable format. This agent handles formal consent letters, email confirmations, scanned signatures, and platform submissions. It extracts the critical voting information regardless of document structure or presentation.

Input types

50+ languages

Scanned Signatures

200 pages

Multi-modal

Document types

PDFs

Email Text

Tables

Signature Pages

Spreadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Lender responses arrive in every conceivable format. This agent handles formal consent letters, email confirmations, scanned signatures, and platform submissions. It extracts the critical voting information regardless of document structure or presentation.

Input types

50+ languages

Scanned Signatures

200 pages

Multi-modal

Document types

PDFs

Email Text

Tables

Signature Pages

Spreadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Voting calculations must be precise. The agent uses multi-step verification to ensure commitment amounts, voting percentages, and threshold calculations are accurate, eliminating the risk of manual calculation errors that could invalidate consent processes.

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.

Voting calculations must be precise. The agent uses multi-step verification to ensure commitment amounts, voting percentages, and threshold calculations are accurate, eliminating the risk of manual calculation errors that could invalidate consent processes.

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.

Voting calculations must be precise. The agent uses multi-step verification to ensure commitment amounts, voting percentages, and threshold calculations are accurate, eliminating the risk of manual calculation errors that could invalidate consent processes.

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.

Build confidence in every consent report. Each vote, commitment amount, and authorization verification is visually linked to its source document, creating a complete audit trail that satisfies legal counsel and regulatory requirements.

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.

Build confidence in every consent report. Each vote, commitment amount, and authorization verification is visually linked to its source document, creating a complete audit trail that satisfies legal counsel and regulatory requirements.

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.

Build confidence in every consent report. Each vote, commitment amount, and authorization verification is visually linked to its source document, creating a complete audit trail that satisfies legal counsel and regulatory requirements.

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.

Syndicated loan documentation contains highly confidential borrower and lender information. V7 Go processes all voting materials within your secure environment, ensuring compliance with confidentiality agreements and banking regulations.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Syndicated loan documentation contains highly confidential borrower and lender information. V7 Go processes all voting materials within your secure environment, ensuring compliance with confidentiality agreements and banking regulations.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Syndicated loan documentation contains highly confidential borrower and lender information. V7 Go processes all voting materials within your secure environment, ensuring compliance with confidentiality agreements and banking regulations.

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 Syndicated Loan Agents

How does the agent handle different response formats?

The agent processes responses regardless of format, whether they arrive as signed PDFs, email confirmations, or entries in voting platforms. It uses document understanding to extract the essential elements: lender identity, vote direction, conditions, and authorization.

+

How does the agent handle different response formats?

The agent processes responses regardless of format, whether they arrive as signed PDFs, email confirmations, or entries in voting platforms. It uses document understanding to extract the essential elements: lender identity, vote direction, conditions, and authorization.

+

How does the agent handle different response formats?

The agent processes responses regardless of format, whether they arrive as signed PDFs, email confirmations, or entries in voting platforms. It uses document understanding to extract the essential elements: lender identity, vote direction, conditions, and authorization.

+

What happens if a lender submits multiple conflicting responses?

The agent tracks all responses chronologically and flags conflicts for administrative review. It applies standard precedence rules, typically treating the most recent response as controlling, but highlights the discrepancy for human verification.

+

What happens if a lender submits multiple conflicting responses?

The agent tracks all responses chronologically and flags conflicts for administrative review. It applies standard precedence rules, typically treating the most recent response as controlling, but highlights the discrepancy for human verification.

+

What happens if a lender submits multiple conflicting responses?

The agent tracks all responses chronologically and flags conflicts for administrative review. It applies standard precedence rules, typically treating the most recent response as controlling, but highlights the discrepancy for human verification.

+

Can it handle amendments requiring different voting thresholds?

Yes. The agent references the credit agreement's voting provisions to apply the correct threshold for each amendment type, whether it requires simple majority, super-majority, or unanimous consent. It can process multiple amendments with different requirements simultaneously.

+

Can it handle amendments requiring different voting thresholds?

Yes. The agent references the credit agreement's voting provisions to apply the correct threshold for each amendment type, whether it requires simple majority, super-majority, or unanimous consent. It can process multiple amendments with different requirements simultaneously.

+

Can it handle amendments requiring different voting thresholds?

Yes. The agent references the credit agreement's voting provisions to apply the correct threshold for each amendment type, whether it requires simple majority, super-majority, or unanimous consent. It can process multiple amendments with different requirements simultaneously.

+

How does it verify lender commitment amounts?

The agent cross-references commitment amounts against the most recent lender schedule from your loan management system or the credit agreement. It flags any discrepancies between stated commitments and system records for reconciliation.

+

How does it verify lender commitment amounts?

The agent cross-references commitment amounts against the most recent lender schedule from your loan management system or the credit agreement. It flags any discrepancies between stated commitments and system records for reconciliation.

+

How does it verify lender commitment amounts?

The agent cross-references commitment amounts against the most recent lender schedule from your loan management system or the credit agreement. It flags any discrepancies between stated commitments and system records for reconciliation.

+

What about amendments that affect only certain tranches?

The agent can segment voting by facility or tranche, calculating separate thresholds for amendments that affect only specific portions of the credit facility. It ensures only affected lenders are counted in the relevant voting pool.

+

What about amendments that affect only certain tranches?

The agent can segment voting by facility or tranche, calculating separate thresholds for amendments that affect only specific portions of the credit facility. It ensures only affected lenders are counted in the relevant voting pool.

+

What about amendments that affect only certain tranches?

The agent can segment voting by facility or tranche, calculating separate thresholds for amendments that affect only specific portions of the credit facility. It ensures only affected lenders are counted in the relevant voting pool.

+

Is the voting record auditable and defensible?

Absolutely. Every vote is linked to its source document with AI Citations, creating a complete audit trail. The consent report includes visual references to each lender's response, making the record fully transparent and legally defensible.

+

Is the voting record auditable and defensible?

Absolutely. Every vote is linked to its source document with AI Citations, creating a complete audit trail. The consent report includes visual references to each lender's response, making the record fully transparent and legally defensible.

+

Is the voting record auditable and defensible?

Absolutely. Every vote is linked to its source document with AI Citations, creating a complete audit trail. The consent report includes visual references to each lender's response, making the record fully transparent and legally defensible.

+

Next steps

Next steps

Still tracking lender votes in spreadsheets and email chains?

Send us a recent amendment consent package with lender responses. We'll show you how our AI agent can deliver a complete voting analysis in hours, not weeks.

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: