90% faster surveillance

AI agent for CMBS Loan Servicers

From quarterly chaos to automated surveillance

Delegate the tedious task of borrower financial statement processing to a specialized AI agent. It reads operating statements in any format, extracts revenue and expense data, calculates Debt Service Coverage Ratios, and flags covenant violations, allowing your surveillance team to focus on risk management instead of data entry.

Ideal for

CMBS Servicers

Special Servicers

Asset Management

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    Foobar logo
    ABL logo
    Mercedes-Benz logo
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    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
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    Mercedes-Benz logo
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See AI agent for CMBS Loan Servicers in action

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    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
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    Munch Energie Logo
    Certainty Sofrware logo
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    Bayer Logo
    Mercedes-Benz logo
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See AI agent for CMBS Loan Servicers 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 CMBS Loan Servicers in action

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Q3 2024 Loan Surveillance

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    SMC  logo
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    Centerline 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
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See AI agent for CMBS Loan Servicers in action

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Time comparison

Time comparison

Traditional way

3-4 weeks per quarter

With V7 Go agents

2-3 days

Average time saved

90%

Why V7 Go

Why V7 Go

Universal Format Recognition

Processes borrower operating statements in any format—Excel spreadsheets, scanned PDFs, property management system exports, or handwritten financials—without requiring standardized templates.

Universal Format Recognition

Processes borrower operating statements in any format—Excel spreadsheets, scanned PDFs, property management system exports, or handwritten financials—without requiring standardized templates.

Universal Format Recognition

Processes borrower operating statements in any format—Excel spreadsheets, scanned PDFs, property management system exports, or handwritten financials—without requiring standardized templates.

Universal Format Recognition

Processes borrower operating statements in any format—Excel spreadsheets, scanned PDFs, property management system exports, or handwritten financials—without requiring standardized templates.

Automated DSCR Calculation

Extracts Net Operating Income and debt service figures, applies your specific calculation methodology, and computes DSCR for every loan in your portfolio automatically.

Automated DSCR Calculation

Extracts Net Operating Income and debt service figures, applies your specific calculation methodology, and computes DSCR for every loan in your portfolio automatically.

Automated DSCR Calculation

Extracts Net Operating Income and debt service figures, applies your specific calculation methodology, and computes DSCR for every loan in your portfolio automatically.

Automated DSCR Calculation

Extracts Net Operating Income and debt service figures, applies your specific calculation methodology, and computes DSCR for every loan in your portfolio automatically.

Covenant Violation Detection

Compares calculated DSCR against loan-specific covenant thresholds stored in your servicing system, automatically flagging loans that breach minimum coverage requirements.

Covenant Violation Detection

Compares calculated DSCR against loan-specific covenant thresholds stored in your servicing system, automatically flagging loans that breach minimum coverage requirements.

Covenant Violation Detection

Compares calculated DSCR against loan-specific covenant thresholds stored in your servicing system, automatically flagging loans that breach minimum coverage requirements.

Covenant Violation Detection

Compares calculated DSCR against loan-specific covenant thresholds stored in your servicing system, automatically flagging loans that breach minimum coverage requirements.

Trend Analysis & Early Warning

Tracks quarter-over-quarter changes in NOI, occupancy, and debt service coverage to identify deteriorating properties before they breach covenants.

Trend Analysis & Early Warning

Tracks quarter-over-quarter changes in NOI, occupancy, and debt service coverage to identify deteriorating properties before they breach covenants.

Trend Analysis & Early Warning

Tracks quarter-over-quarter changes in NOI, occupancy, and debt service coverage to identify deteriorating properties before they breach covenants.

Trend Analysis & Early Warning

Tracks quarter-over-quarter changes in NOI, occupancy, and debt service coverage to identify deteriorating properties before they breach covenants.

Data Normalization & Standardization

Maps inconsistent line item descriptions to standardized categories, ensuring apples-to-apples comparison across your entire loan portfolio regardless of borrower accounting practices.

Data Normalization & Standardization

Maps inconsistent line item descriptions to standardized categories, ensuring apples-to-apples comparison across your entire loan portfolio regardless of borrower accounting practices.

Data Normalization & Standardization

Maps inconsistent line item descriptions to standardized categories, ensuring apples-to-apples comparison across your entire loan portfolio regardless of borrower accounting practices.

Data Normalization & Standardization

Maps inconsistent line item descriptions to standardized categories, ensuring apples-to-apples comparison across your entire loan portfolio regardless of borrower accounting practices.

Audit-Ready Documentation

Links every extracted figure back to its source location in the borrower's operating statement with AI Citations, creating a complete audit trail for regulatory examinations and investor reporting.

Audit-Ready Documentation

Links every extracted figure back to its source location in the borrower's operating statement with AI Citations, creating a complete audit trail for regulatory examinations and investor reporting.

Audit-Ready Documentation

Links every extracted figure back to its source location in the borrower's operating statement with AI Citations, creating a complete audit trail for regulatory examinations and investor reporting.

Audit-Ready Documentation

Links every extracted figure back to its source location in the borrower's operating statement with AI Citations, creating a complete audit trail for regulatory examinations and investor reporting.

Processes any borrower financial format

To deliver standardized DSCR surveillance data.

Get started

Get started

Logo
Logo

Import your files

Microsoft Excel

,

Google Sheets

,

Microsoft Sharepoint Online

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your loan servicing platform.

Connect AI to your loan servicing platform.

Turn quarterly surveillance into automated risk intelligence.

Turn quarterly surveillance into automated risk intelligence.

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.

Borrower financial statements arrive in every conceivable format. This agent handles property management system exports, Excel spreadsheets with custom layouts, scanned PDFs from small borrowers, and even handwritten operating statements from legacy properties.

Input types

50+ languages

Handwritten Notes

200 pages

Multi-modal

Document types

PDFs

Complex Tables

Spreadsheets

Low-Quality Scans

Multi-Column Layouts

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Borrower financial statements arrive in every conceivable format. This agent handles property management system exports, Excel spreadsheets with custom layouts, scanned PDFs from small borrowers, and even handwritten operating statements from legacy properties.

Input types

50+ languages

Handwritten Notes

200 pages

Multi-modal

Document types

PDFs

Complex Tables

Spreadsheets

Low-Quality Scans

Multi-Column Layouts

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Borrower financial statements arrive in every conceivable format. This agent handles property management system exports, Excel spreadsheets with custom layouts, scanned PDFs from small borrowers, and even handwritten operating statements from legacy properties.

Input types

50+ languages

Handwritten Notes

200 pages

Multi-modal

Document types

PDFs

Complex Tables

Spreadsheets

Low-Quality Scans

Multi-Column Layouts

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

DSCR calculations must be precise for regulatory compliance and investor reporting. The agent uses multi-step validation to ensure revenue, expense, and debt service figures are extracted with exceptional accuracy, ready for direct use in surveillance reports.

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.

DSCR calculations must be precise for regulatory compliance and investor reporting. The agent uses multi-step validation to ensure revenue, expense, and debt service figures are extracted with exceptional accuracy, ready for direct use in surveillance reports.

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.

DSCR calculations must be precise for regulatory compliance and investor reporting. The agent uses multi-step validation to ensure revenue, expense, and debt service figures are extracted with exceptional accuracy, ready for direct use in surveillance reports.

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 financial figure is visually linked back to its exact location in the borrower's operating statement. This creates a complete audit trail for regulatory examinations, investor inquiries, and internal quality control reviews.

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 financial figure is visually linked back to its exact location in the borrower's operating statement. This creates a complete audit trail for regulatory examinations, investor inquiries, and internal quality control reviews.

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 financial figure is visually linked back to its exact location in the borrower's operating statement. This creates a complete audit trail for regulatory examinations, investor inquiries, and internal quality control reviews.

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.

Borrower financial statements contain highly sensitive property performance data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards required by CMBS investors and regulators.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Borrower financial statements contain highly sensitive property performance data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards required by CMBS investors and regulators.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Borrower financial statements contain highly sensitive property performance data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards required by CMBS investors and regulators.

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 CMBS Loan Servicers

How does it handle non-standard financial statement formats?

The agent uses advanced document understanding to identify financial data regardless of layout or terminology. It recognizes revenue line items whether they're labeled as 'Rental Income,' 'Base Rent,' or 'Lease Revenue,' and adapts to each borrower's unique reporting structure.

+

How does it handle non-standard financial statement formats?

The agent uses advanced document understanding to identify financial data regardless of layout or terminology. It recognizes revenue line items whether they're labeled as 'Rental Income,' 'Base Rent,' or 'Lease Revenue,' and adapts to each borrower's unique reporting structure.

+

How does it handle non-standard financial statement formats?

The agent uses advanced document understanding to identify financial data regardless of layout or terminology. It recognizes revenue line items whether they're labeled as 'Rental Income,' 'Base Rent,' or 'Lease Revenue,' and adapts to each borrower's unique reporting structure.

+

Can it handle different DSCR calculation methodologies?

Yes. The agent can be configured to match your specific DSCR calculation approach, whether you use trailing twelve months, annualized quarterly figures, or underwritten debt service. It applies loan-specific calculation rules based on your servicing guidelines.

+

Can it handle different DSCR calculation methodologies?

Yes. The agent can be configured to match your specific DSCR calculation approach, whether you use trailing twelve months, annualized quarterly figures, or underwritten debt service. It applies loan-specific calculation rules based on your servicing guidelines.

+

Can it handle different DSCR calculation methodologies?

Yes. The agent can be configured to match your specific DSCR calculation approach, whether you use trailing twelve months, annualized quarterly figures, or underwritten debt service. It applies loan-specific calculation rules based on your servicing guidelines.

+

How does it identify which loans need watchlist attention?

The agent compares calculated DSCR against covenant thresholds stored in your loan servicing system. It flags loans below minimum coverage requirements and identifies properties showing declining performance trends, even if they haven't breached covenants yet.

+

How does it identify which loans need watchlist attention?

The agent compares calculated DSCR against covenant thresholds stored in your loan servicing system. It flags loans below minimum coverage requirements and identifies properties showing declining performance trends, even if they haven't breached covenants yet.

+

How does it identify which loans need watchlist attention?

The agent compares calculated DSCR against covenant thresholds stored in your loan servicing system. It flags loans below minimum coverage requirements and identifies properties showing declining performance trends, even if they haven't breached covenants yet.

+

What happens with incomplete or missing borrower submissions?

The agent identifies missing data fields and flags incomplete submissions for follow-up. It extracts whatever information is available and clearly indicates which required fields are missing, allowing your team to prioritize borrower outreach.

+

What happens with incomplete or missing borrower submissions?

The agent identifies missing data fields and flags incomplete submissions for follow-up. It extracts whatever information is available and clearly indicates which required fields are missing, allowing your team to prioritize borrower outreach.

+

What happens with incomplete or missing borrower submissions?

The agent identifies missing data fields and flags incomplete submissions for follow-up. It extracts whatever information is available and clearly indicates which required fields are missing, allowing your team to prioritize borrower outreach.

+

How accurate is the financial data extraction?

The agent achieves high accuracy through multi-step validation workflows. Every extracted figure is visually linked to its source in the operating statement, allowing your team to quickly verify critical numbers before finalizing surveillance reports.

+

How accurate is the financial data extraction?

The agent achieves high accuracy through multi-step validation workflows. Every extracted figure is visually linked to its source in the operating statement, allowing your team to quickly verify critical numbers before finalizing surveillance reports.

+

How accurate is the financial data extraction?

The agent achieves high accuracy through multi-step validation workflows. Every extracted figure is visually linked to its source in the operating statement, allowing your team to quickly verify critical numbers before finalizing surveillance reports.

+

Can it integrate with our existing loan servicing platform?

Yes. The agent outputs structured data in formats compatible with major servicing platforms. It can populate DSCR calculations, watchlist flags, and extracted financials directly into your existing surveillance systems via API or file export.

+

Can it integrate with our existing loan servicing platform?

Yes. The agent outputs structured data in formats compatible with major servicing platforms. It can populate DSCR calculations, watchlist flags, and extracted financials directly into your existing surveillance systems via API or file export.

+

Can it integrate with our existing loan servicing platform?

Yes. The agent outputs structured data in formats compatible with major servicing platforms. It can populate DSCR calculations, watchlist flags, and extracted financials directly into your existing surveillance systems via API or file export.

+

Next steps

Next steps

Still manually processing borrower financials every quarter?

Send us a sample of your Q3 borrower submissions. We'll show you how our AI agent can calculate DSCR and flag watchlist loans 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: