90% faster credit analysis

AI agent for Municipal Bond Analysts

From document chaos to credit clarity

Delegate municipal credit research to a specialized AI agent. It reads official statements, comprehensive annual financial reports, and local government budgets to extract debt ratios, fund balances, revenue trends, and pension obligations—delivering standardized credit metrics regardless of document format.

Ideal for

Municipal Bond Analysts

Fixed Income Research

Credit Rating Agencies

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    SMC  logo
    Mercedes-Benz logo
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    Mercedes-Benz logo
    Alaris logo
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    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
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    ABL logo
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    Mercedes-Benz logo
    Brotherhood Mutual logo
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    Paige logo
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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 Municipal Bond Analysts in action

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Springfield County Credit Review

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    Alaris logo
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    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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See AI agent for Municipal Bond Analysts in action

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Time comparison

Time comparison

Traditional way

3-5 hours per issuer

With V7 Go agents

15-20 minutes

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Financial Metric Extraction

Pulls debt service coverage ratios, fund balance percentages, revenue growth rates, and liquidity metrics from any government financial document, regardless of format or presentation style.

Automated Financial Metric Extraction

Pulls debt service coverage ratios, fund balance percentages, revenue growth rates, and liquidity metrics from any government financial document, regardless of format or presentation style.

Automated Financial Metric Extraction

Pulls debt service coverage ratios, fund balance percentages, revenue growth rates, and liquidity metrics from any government financial document, regardless of format or presentation style.

Automated Financial Metric Extraction

Pulls debt service coverage ratios, fund balance percentages, revenue growth rates, and liquidity metrics from any government financial document, regardless of format or presentation style.

Multi-Year Trend Analysis

Tracks financial indicators across multiple fiscal years by processing historical CAFRs and budget documents, identifying deteriorating credit conditions before they become critical.

Multi-Year Trend Analysis

Tracks financial indicators across multiple fiscal years by processing historical CAFRs and budget documents, identifying deteriorating credit conditions before they become critical.

Multi-Year Trend Analysis

Tracks financial indicators across multiple fiscal years by processing historical CAFRs and budget documents, identifying deteriorating credit conditions before they become critical.

Multi-Year Trend Analysis

Tracks financial indicators across multiple fiscal years by processing historical CAFRs and budget documents, identifying deteriorating credit conditions before they become critical.

Pension and OPEB Liability Assessment

Extracts unfunded actuarial accrued liability figures, funded ratios, and annual required contributions from actuarial reports embedded within comprehensive financial statements.

Pension and OPEB Liability Assessment

Extracts unfunded actuarial accrued liability figures, funded ratios, and annual required contributions from actuarial reports embedded within comprehensive financial statements.

Pension and OPEB Liability Assessment

Extracts unfunded actuarial accrued liability figures, funded ratios, and annual required contributions from actuarial reports embedded within comprehensive financial statements.

Pension and OPEB Liability Assessment

Extracts unfunded actuarial accrued liability figures, funded ratios, and annual required contributions from actuarial reports embedded within comprehensive financial statements.

Revenue Concentration Detection

Identifies reliance on volatile revenue sources by analyzing tax base composition, intergovernmental transfers, and enterprise fund performance across government-wide financial statements.

Revenue Concentration Detection

Identifies reliance on volatile revenue sources by analyzing tax base composition, intergovernmental transfers, and enterprise fund performance across government-wide financial statements.

Revenue Concentration Detection

Identifies reliance on volatile revenue sources by analyzing tax base composition, intergovernmental transfers, and enterprise fund performance across government-wide financial statements.

Revenue Concentration Detection

Identifies reliance on volatile revenue sources by analyzing tax base composition, intergovernmental transfers, and enterprise fund performance across government-wide financial statements.

Debt Structure Normalization

Standardizes debt metrics by extracting direct debt, overlapping debt, and contingent liabilities from notes to financial statements, creating comparable leverage ratios across issuers.

Debt Structure Normalization

Standardizes debt metrics by extracting direct debt, overlapping debt, and contingent liabilities from notes to financial statements, creating comparable leverage ratios across issuers.

Debt Structure Normalization

Standardizes debt metrics by extracting direct debt, overlapping debt, and contingent liabilities from notes to financial statements, creating comparable leverage ratios across issuers.

Debt Structure Normalization

Standardizes debt metrics by extracting direct debt, overlapping debt, and contingent liabilities from notes to financial statements, creating comparable leverage ratios across issuers.

Verifiable Data Lineage

Links every extracted financial figure to its exact location in the source document with AI Citations, providing auditable evidence for credit committee presentations and rating agency discussions.

Verifiable Data Lineage

Links every extracted financial figure to its exact location in the source document with AI Citations, providing auditable evidence for credit committee presentations and rating agency discussions.

Verifiable Data Lineage

Links every extracted financial figure to its exact location in the source document with AI Citations, providing auditable evidence for credit committee presentations and rating agency discussions.

Verifiable Data Lineage

Links every extracted financial figure to its exact location in the source document with AI Citations, providing auditable evidence for credit committee presentations and rating agency discussions.

Extracts credit metrics from any government document

To deliver standardized issuer analysis.

Get started

Get started

Logo
Logo
Logo

Import your files

Microsoft Excel

,

Snowflake

,

Tableau

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your credit framework.

Connect AI to your credit framework.

Turn government documents into standardized credit metrics.

Turn government documents into standardized credit metrics.

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.

Municipal financial documents vary wildly in structure and format. This agent handles comprehensive annual financial reports with embedded actuarial valuations, budget presentations with multi-year projections, and official statements with complex debt schedules—extracting metrics regardless of layout.

Input types

50+ languages

Complex Tables

200 pages

Multi-modal

Document types

PDFs

Scanned Documents

Financial Tables

Charts

Spreadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Municipal financial documents vary wildly in structure and format. This agent handles comprehensive annual financial reports with embedded actuarial valuations, budget presentations with multi-year projections, and official statements with complex debt schedules—extracting metrics regardless of layout.

Input types

50+ languages

Complex Tables

200 pages

Multi-modal

Document types

PDFs

Scanned Documents

Financial Tables

Charts

Spreadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Municipal financial documents vary wildly in structure and format. This agent handles comprehensive annual financial reports with embedded actuarial valuations, budget presentations with multi-year projections, and official statements with complex debt schedules—extracting metrics regardless of layout.

Input types

50+ languages

Complex Tables

200 pages

Multi-modal

Document types

PDFs

Scanned Documents

Financial Tables

Charts

Spreadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Credit decisions depend on precise financial data. The agent uses multi-step verification to ensure debt ratios, fund balances, and revenue figures are extracted with exceptional accuracy, cross-referencing numbers across related statements to catch inconsistencies.

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.

Credit decisions depend on precise financial data. The agent uses multi-step verification to ensure debt ratios, fund balances, and revenue figures are extracted with exceptional accuracy, cross-referencing numbers across related statements to catch inconsistencies.

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.

Credit decisions depend on precise financial data. The agent uses multi-step verification to ensure debt ratios, fund balances, and revenue figures are extracted with exceptional accuracy, cross-referencing numbers across related statements to catch inconsistencies.

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 your credit analysis. Every extracted metric is visually linked to its source location in the financial statement, providing instant verification for credit committee presentations and regulatory examinations.

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 your credit analysis. Every extracted metric is visually linked to its source location in the financial statement, providing instant verification for credit committee presentations and regulatory examinations.

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 your credit analysis. Every extracted metric is visually linked to its source location in the financial statement, providing instant verification for credit committee presentations and regulatory examinations.

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.

Municipal financial analysis involves material non-public information during new issue periods. V7 Go processes all documents within your secure environment, ensuring compliance with securities regulations and maintaining confidentiality of pre-release financial data.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Municipal financial analysis involves material non-public information during new issue periods. V7 Go processes all documents within your secure environment, ensuring compliance with securities regulations and maintaining confidentiality of pre-release financial data.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Municipal financial analysis involves material non-public information during new issue periods. V7 Go processes all documents within your secure environment, ensuring compliance with securities regulations and maintaining confidentiality of pre-release financial data.

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 Municipal Bond Analysts

How does it handle different government accounting formats?

The agent is designed to process GASB-compliant financial statements regardless of presentation format. It understands fund accounting structures, government-wide statements, and the relationship between different financial statement components, adapting to each issuer's unique reporting style.

+

How does it handle different government accounting formats?

The agent is designed to process GASB-compliant financial statements regardless of presentation format. It understands fund accounting structures, government-wide statements, and the relationship between different financial statement components, adapting to each issuer's unique reporting style.

+

How does it handle different government accounting formats?

The agent is designed to process GASB-compliant financial statements regardless of presentation format. It understands fund accounting structures, government-wide statements, and the relationship between different financial statement components, adapting to each issuer's unique reporting style.

+

Can it analyze both general obligation and revenue bonds?

Yes. The agent extracts metrics relevant to both security types. For general obligation bonds, it focuses on tax base and general fund metrics. For revenue bonds, it analyzes enterprise fund performance, debt service coverage, and project-specific financial data.

+

Can it analyze both general obligation and revenue bonds?

Yes. The agent extracts metrics relevant to both security types. For general obligation bonds, it focuses on tax base and general fund metrics. For revenue bonds, it analyzes enterprise fund performance, debt service coverage, and project-specific financial data.

+

Can it analyze both general obligation and revenue bonds?

Yes. The agent extracts metrics relevant to both security types. For general obligation bonds, it focuses on tax base and general fund metrics. For revenue bonds, it analyzes enterprise fund performance, debt service coverage, and project-specific financial data.

+

What types of documents can it process?

The agent processes official statements, comprehensive annual financial reports, adopted budgets, quarterly financial updates, continuing disclosure filings, and actuarial valuation reports. It handles both current year documents and historical archives for trend analysis.

+

What types of documents can it process?

The agent processes official statements, comprehensive annual financial reports, adopted budgets, quarterly financial updates, continuing disclosure filings, and actuarial valuation reports. It handles both current year documents and historical archives for trend analysis.

+

What types of documents can it process?

The agent processes official statements, comprehensive annual financial reports, adopted budgets, quarterly financial updates, continuing disclosure filings, and actuarial valuation reports. It handles both current year documents and historical archives for trend analysis.

+

How accurate is the financial data extraction?

The agent uses multi-step verification workflows to ensure numerical accuracy. Every extracted figure is cross-referenced against related statements and reconciled to totals. Visual Grounding allows analysts to verify any number by clicking through to the source page.

+

How accurate is the financial data extraction?

The agent uses multi-step verification workflows to ensure numerical accuracy. Every extracted figure is cross-referenced against related statements and reconciled to totals. Visual Grounding allows analysts to verify any number by clicking through to the source page.

+

How accurate is the financial data extraction?

The agent uses multi-step verification workflows to ensure numerical accuracy. Every extracted figure is cross-referenced against related statements and reconciled to totals. Visual Grounding allows analysts to verify any number by clicking through to the source page.

+

Does it understand footnote disclosures?

Absolutely. The agent reads and interprets notes to financial statements, extracting critical information about debt covenants, contingent liabilities, subsequent events, and accounting policy changes that impact credit quality assessment.

+

Does it understand footnote disclosures?

Absolutely. The agent reads and interprets notes to financial statements, extracting critical information about debt covenants, contingent liabilities, subsequent events, and accounting policy changes that impact credit quality assessment.

+

Does it understand footnote disclosures?

Absolutely. The agent reads and interprets notes to financial statements, extracting critical information about debt covenants, contingent liabilities, subsequent events, and accounting policy changes that impact credit quality assessment.

+

What is the final output format?

The agent delivers a structured dataset containing standardized credit metrics, typically in Excel or JSON format. This output can be configured to match your internal credit models or populate directly into your fixed income research management system.

+

What is the final output format?

The agent delivers a structured dataset containing standardized credit metrics, typically in Excel or JSON format. This output can be configured to match your internal credit models or populate directly into your fixed income research management system.

+

What is the final output format?

The agent delivers a structured dataset containing standardized credit metrics, typically in Excel or JSON format. This output can be configured to match your internal credit models or populate directly into your fixed income research management system.

+

Next steps

Next steps

Still manually extracting data from CAFRs and official statements?

Send us a few municipal financial reports from your coverage universe. We'll show you how our AI agent can deliver standardized credit metrics in minutes instead of hours.

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: