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

See AI agent for CMBS Loan Servicers in action
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See AI agent for CMBS Loan Servicers in action
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See AI agent for CMBS Loan Servicers in action
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Q3 2024 Loan Surveillance
See AI agent for CMBS Loan Servicers in action
Play video
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


Import your files
Microsoft Excel
,
Google Sheets
,
Microsoft Sharepoint Online
Import your files from whereever they are currently stored
All types of Real Estate documents supported
Once imported our system extracts and organises the essentials
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
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.
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:
