Accelerate your month-end close

AI Statement Reconciliation Agent

Reconcile in minutes, not weeks

Delegate the tedious task of reconciliation to a specialized AI agent. It intelligently compares thousands of transactions between any two systems—like a bank statement and your GL—and automatically produces a clean exception report, so your team can focus on investigating, not ticking.

Ideal for

Accounting Teams

Family Offices

Fund Administrators

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See AI Statement Reconciliation Agent in action

Play video

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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
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    Foobar logo
    ABL logo
    Mercedes-Benz logo
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    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
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See AI Statement Reconciliation Agent 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
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Statement Reconciliation Agent in action

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Monthly Bank Reconciliation

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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
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
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See AI Statement Reconciliation Agent in action

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Time comparison

Time comparison

Traditional way

Days per month

With V7 Go agents

Minutes

Average time saved

99%

Why V7 Go

Why V7 Go

Intelligent Transaction Matching

Goes beyond exact matches. The agent uses AI to match transactions based on amount, date proximity, and fuzzy text matching on descriptions, dramatically increasing the automated match rate.

Intelligent Transaction Matching

Goes beyond exact matches. The agent uses AI to match transactions based on amount, date proximity, and fuzzy text matching on descriptions, dramatically increasing the automated match rate.

Intelligent Transaction Matching

Goes beyond exact matches. The agent uses AI to match transactions based on amount, date proximity, and fuzzy text matching on descriptions, dramatically increasing the automated match rate.

Intelligent Transaction Matching

Goes beyond exact matches. The agent uses AI to match transactions based on amount, date proximity, and fuzzy text matching on descriptions, dramatically increasing the automated match rate.

Handles Any Data Source

Reconciles data from any two sources, whether it's a scanned PDF bank statement against an ERP export, or a custodial statement against your internal portfolio management system.

Handles Any Data Source

Reconciles data from any two sources, whether it's a scanned PDF bank statement against an ERP export, or a custodial statement against your internal portfolio management system.

Handles Any Data Source

Reconciles data from any two sources, whether it's a scanned PDF bank statement against an ERP export, or a custodial statement against your internal portfolio management system.

Handles Any Data Source

Reconciles data from any two sources, whether it's a scanned PDF bank statement against an ERP export, or a custodial statement against your internal portfolio management system.

Complex Matching Logic

Configurable for complex scenarios, such as one-to-many matches (e.g., one bank deposit matching multiple invoices) and many-to-many reconciliations.

Complex Matching Logic

Configurable for complex scenarios, such as one-to-many matches (e.g., one bank deposit matching multiple invoices) and many-to-many reconciliations.

Complex Matching Logic

Configurable for complex scenarios, such as one-to-many matches (e.g., one bank deposit matching multiple invoices) and many-to-many reconciliations.

Complex Matching Logic

Configurable for complex scenarios, such as one-to-many matches (e.g., one bank deposit matching multiple invoices) and many-to-many reconciliations.

Automated Exception Reporting

Saves your team hours of searching. The agent's primary output is a clean, concise report of only the items that *didn't* match, so your team can focus exclusively on investigation.

Automated Exception Reporting

Saves your team hours of searching. The agent's primary output is a clean, concise report of only the items that *didn't* match, so your team can focus exclusively on investigation.

Automated Exception Reporting

Saves your team hours of searching. The agent's primary output is a clean, concise report of only the items that *didn't* match, so your team can focus exclusively on investigation.

Automated Exception Reporting

Saves your team hours of searching. The agent's primary output is a clean, concise report of only the items that *didn't* match, so your team can focus exclusively on investigation.

Suggested Reconciling Items

Based on your rules, the agent can automatically identify and categorize common reconciling items like bank fees, interest income, and outstanding checks, further speeding up the process.

Suggested Reconciling Items

Based on your rules, the agent can automatically identify and categorize common reconciling items like bank fees, interest income, and outstanding checks, further speeding up the process.

Suggested Reconciling Items

Based on your rules, the agent can automatically identify and categorize common reconciling items like bank fees, interest income, and outstanding checks, further speeding up the process.

Suggested Reconciling Items

Based on your rules, the agent can automatically identify and categorize common reconciling items like bank fees, interest income, and outstanding checks, further speeding up the process.

Creates an Auditable Workflow

Generates a complete, auditable reconciliation workpaper that shows the full populations, the items that were automatically matched, and the resolution of every exception.

Creates an Auditable Workflow

Generates a complete, auditable reconciliation workpaper that shows the full populations, the items that were automatically matched, and the resolution of every exception.

Creates an Auditable Workflow

Generates a complete, auditable reconciliation workpaper that shows the full populations, the items that were automatically matched, and the resolution of every exception.

Creates an Auditable Workflow

Generates a complete, auditable reconciliation workpaper that shows the full populations, the items that were automatically matched, and the resolution of every exception.

Intelligently compares transactions from any two sources

To produce a perfect reconciliation in minutes.

Get started

Get started

Import your files

QuickBooks

,

NetSuite

,

Microsoft Excel

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your bank accounts and your books.

Connect AI to your bank accounts and your books.

Turn the pain of the month-end close into a one-click, automated process.

Turn the pain of the month-end close into a one-click, automated process.

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.

Reconciles any two systems.

No matter the data format.

This agent is built for the real world of finance operations. It can reconcile transaction data from any source, including unstructured PDF bank statements, CSV exports from your GL, and direct API feeds from custodial platforms.

Input types

PDF Statements

CSV & Excel

API Feeds

Multi-Currency

Document types

Bank Statements

General Ledgers

Custodial Feeds

Credit Card Data

Scans

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reconciles any two systems.

No matter the data format.

This agent is built for the real world of finance operations. It can reconcile transaction data from any source, including unstructured PDF bank statements, CSV exports from your GL, and direct API feeds from custodial platforms.

Input types

PDF Statements

CSV & Excel

API Feeds

Multi-Currency

Document types

Bank Statements

General Ledgers

Custodial Feeds

Credit Card Data

Scans

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reconciles any two systems.

No matter the data format.

This agent is built for the real world of finance operations. It can reconcile transaction data from any source, including unstructured PDF bank statements, CSV exports from your GL, and direct API feeds from custodial platforms.

Input types

PDF Statements

CSV & Excel

API Feeds

Multi-Currency

Document types

Bank Statements

General Ledgers

Custodial Feeds

Credit Card Data

Scans

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy

with AI reasoning.

A clean close depends on accurate matching. The agent uses AI-powered fuzzy logic to accurately match transactions even with slight differences in dates or descriptions, maximizing the auto-match rate and minimizing manual work.

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)

Achieve near-perfect accuracy

with AI reasoning.

A clean close depends on accurate matching. The agent uses AI-powered fuzzy logic to accurately match transactions even with slight differences in dates or descriptions, maximizing the auto-match rate and minimizing manual work.

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)

Achieve near-perfect accuracy

with AI reasoning.

A clean close depends on accurate matching. The agent uses AI-powered fuzzy logic to accurately match transactions even with slight differences in dates or descriptions, maximizing the auto-match rate and minimizing manual work.

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 your documents.

Create a fully auditable reconciliation package. The agent's output report provides a clear trail, with visual citations showing the matched and unmatched items side-by-side from their original source documents.

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 your documents.

Create a fully auditable reconciliation package. The agent's output report provides a clear trail, with visual citations showing the matched and unmatched items side-by-side from their original source documents.

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 your documents.

Create a fully auditable reconciliation package. The agent's output report provides a clear trail, with visual citations showing the matched and unmatched items side-by-side from their original source documents.

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 sensitive financial data.

Your company's transaction data is highly confidential. V7 Go is architected with enterprise-grade security to ensure all your financial statements and ledger data are processed within your secure, private environment.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive financial data.

Your company's transaction data is highly confidential. V7 Go is architected with enterprise-grade security to ensure all your financial statements and ledger data are processed within your secure, private environment.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive financial data.

Your company's transaction data is highly confidential. V7 Go is architected with enterprise-grade security to ensure all your financial statements and ledger data are processed within your secure, private environment.

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 Statement Reconciliation Agent

Our custodial statements are all in different PDF formats. How does it handle that?

This agent is typically chained with our Statement Processing Agent. That agent first reads and extracts the raw transaction data from all the inconsistent PDF formats into a single, standardized spreadsheet. This agent then performs the reconciliation on that clean data.

+

Our custodial statements are all in different PDF formats. How does it handle that?

This agent is typically chained with our Statement Processing Agent. That agent first reads and extracts the raw transaction data from all the inconsistent PDF formats into a single, standardized spreadsheet. This agent then performs the reconciliation on that clean data.

+

Our custodial statements are all in different PDF formats. How does it handle that?

This agent is typically chained with our Statement Processing Agent. That agent first reads and extracts the raw transaction data from all the inconsistent PDF formats into a single, standardized spreadsheet. This agent then performs the reconciliation on that clean data.

+

What kind of systems can it reconcile?

It can reconcile any two systems that can produce a list of transactions. This includes bank accounts, credit cards, custodial accounts, portfolio management systems, and your internal general ledger or accounting software.

+

What kind of systems can it reconcile?

It can reconcile any two systems that can produce a list of transactions. This includes bank accounts, credit cards, custodial accounts, portfolio management systems, and your internal general ledger or accounting software.

+

What kind of systems can it reconcile?

It can reconcile any two systems that can produce a list of transactions. This includes bank accounts, credit cards, custodial accounts, portfolio management systems, and your internal general ledger or accounting software.

+

How does the 'fuzzy matching' work?

It uses AI algorithms to find likely matches even when the text isn't identical. For example, it can learn that a bank description of 'ACH PYMT Amazon Web Services' should match a GL entry for 'AWS Cloud Hosting Fee' if the date and amount are close.

+

How does the 'fuzzy matching' work?

It uses AI algorithms to find likely matches even when the text isn't identical. For example, it can learn that a bank description of 'ACH PYMT Amazon Web Services' should match a GL entry for 'AWS Cloud Hosting Fee' if the date and amount are close.

+

How does the 'fuzzy matching' work?

It uses AI algorithms to find likely matches even when the text isn't identical. For example, it can learn that a bank description of 'ACH PYMT Amazon Web Services' should match a GL entry for 'AWS Cloud Hosting Fee' if the date and amount are close.

+

What is the final output of the reconciliation?

The agent delivers a comprehensive reconciliation package, typically in Excel. This includes a list of all matched items, a clean, prioritized list of all unmatched exceptions, and a summary that proves the two systems are in balance.

+

What is the final output of the reconciliation?

The agent delivers a comprehensive reconciliation package, typically in Excel. This includes a list of all matched items, a clean, prioritized list of all unmatched exceptions, and a summary that proves the two systems are in balance.

+

What is the final output of the reconciliation?

The agent delivers a comprehensive reconciliation package, typically in Excel. This includes a list of all matched items, a clean, prioritized list of all unmatched exceptions, and a summary that proves the two systems are in balance.

+

Can it suggest the journal entries needed to fix the exceptions?

Yes. Based on your predefined rules for common reconciling items (like bank fees), the agent can be configured to suggest the correct adjusting journal entries for your team to review and post.

+

Can it suggest the journal entries needed to fix the exceptions?

Yes. Based on your predefined rules for common reconciling items (like bank fees), the agent can be configured to suggest the correct adjusting journal entries for your team to review and post.

+

Can it suggest the journal entries needed to fix the exceptions?

Yes. Based on your predefined rules for common reconciling items (like bank fees), the agent can be configured to suggest the correct adjusting journal entries for your team to review and post.

+

How can our auditors trust an AI-powered reconciliation?

Through a transparent and auditable process. The agent 'shows its work' with a complete log of which items it matched and why. Because the underlying data is extracted with visual citations, you have a complete, verifiable trail from start to finish.

+

How can our auditors trust an AI-powered reconciliation?

Through a transparent and auditable process. The agent 'shows its work' with a complete log of which items it matched and why. Because the underlying data is extracted with visual citations, you have a complete, verifiable trail from start to finish.

+

How can our auditors trust an AI-powered reconciliation?

Through a transparent and auditable process. The agent 'shows its work' with a complete log of which items it matched and why. Because the underlying data is extracted with visual citations, you have a complete, verifiable trail from start to finish.

+

Next steps

Next steps

Ready to close your books in record time?

Send us an anonymized bank statement and the corresponding GL export from a recent month. We'll show you how our AI agent can perform the entire reconciliation and deliver a clean exception report in minutes.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo