85% faster reconciliation

AI Financial Reconciliation

AI Financial Reconciliation

AI Financial Reconciliation

AI Financial Reconciliation

Match transactions and resolve discrepancies automatically

Match transactions and resolve discrepancies automatically

Match transactions and resolve discrepancies automatically

Match transactions and resolve discrepancies automatically

V7 Go automates financial reconciliation by intelligently matching transactions across multiple systems, identifying discrepancies, and generating comprehensive reconciliation reports. Our AI agents process complex financial data with precision, reducing month-end closing time and ensuring audit-ready documentation.

Ideal for

Financial Analysts

Accounting Managers

Controllers

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    Brotherhood Mutual logo
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See Reconciliation Documents in action

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Bank Reconciliation Analysis

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See Reconciliation Documents in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See Reconciliation Documents in action

Play video

Time comparison

Traditional review time

2-3 days

2-3 days

With V7 Go

2-4 hours

2-4 hours

Average time saved

85%

85%

Why V7 Go

Intelligent Transaction Matching

Automatically match transactions across multiple systems using advanced algorithms that handle variations in dates, amounts, and descriptions.

Exception Identification

Identify and categorize discrepancies, unmatched items, and potential errors with detailed explanations and recommended actions.

Faster Month-End Close

Reduce reconciliation time from days to hours, accelerating month-end closing processes and improving financial reporting timelines.

Audit Trail Generation

Generate comprehensive audit trails with detailed documentation of matching logic, exceptions, and resolution steps for compliance requirements.

Multi-Format Processing

Process reconciliation data from various formats including CSV, Excel, PDF bank statements, and direct system exports seamlessly.

Continuous Learning

Improve matching accuracy over time by learning from historical patterns and user feedback to refine reconciliation rules.

Get started

Get started

Process financial reconciliation documents

Match transactions and resolve discrepancies

The difference

Intelligent automation

for finance professionals

The difference

Finance teams work is about to make it's biggest shift in a century

Before

ChatGPT

V7 Go

Manual reconciliation is tedious and error-prone, yet critical for accurate financial reporting and compliance.

Real competitive advantage comes from purpose-built AI systems, not off-the-shelf generic LLMs

Multiple agents available to do the work

Are there any clauses in our vendor contracts that create exposure or conflict with our standard terms?

Select and tailor agents to perfectly align with the specifics of your Reconciliation Documents

The difference

Intelligent automation

for finance professionals

The difference

Finance teams work is about to make it's biggest shift in a century

Before

ChatGPT

V7 Go

Analysts spend days manually reading 100+ page documents trying to spot subtle year-over-year changes in risk disclosures and MD&A.

Real competitive advantage comes from purpose-built AI systems, not off-the-shelf generic LLMs

Play video

Multiple agents available to do the work

Are there any clauses in our vendor contracts that create exposure or conflict with our standard terms?

Select and tailor agents to perfectly align with the specifics of your Reconciliation Documents

Play video

Customer Voices

Customer Voices

Designed for finance teams who demand accuracy

Trusted by global teams delivering real impact

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting complex documents

with ease

Handle massive reconciliation workloads across multiple formats and systems — bank statements, general ledgers, credit card files, and investment records. V7 Go processes thousands of transactions simultaneously, matching complex patterns and identifying discrepancies that would take days to find manually.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Bank Statements

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents

with ease

Handle massive reconciliation workloads across multiple formats and systems — bank statements, general ledgers, credit card files, and investment records. V7 Go processes thousands of transactions simultaneously, matching complex patterns and identifying discrepancies that would take days to find manually.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Bank Statements

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through

GenAI reasoning

Financial reconciliation demands precision that generic AI cannot deliver. V7 Go combines advanced matching algorithms with financial expertise, understanding timing differences, currency conversions, and complex transaction patterns to achieve audit-grade accuracy in every reconciliation.

Model providers

OpenAI, Anthropic, Gemini logos

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

Financial reconciliation demands precision that generic AI cannot deliver. V7 Go combines advanced matching algorithms with financial expertise, understanding timing differences, currency conversions, and complex transaction patterns to achieve audit-grade accuracy in every reconciliation.

Model providers

OpenAI, Anthropic, Gemini logos

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 reconciliation decision is traceable back to source documents. V7 Go highlights exactly where each match was found, why exceptions occurred, and which supporting evidence validates each conclusion — essential for audit trails and regulatory compliance in financial reconciliation.

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 reconciliation decision is traceable back to source documents. V7 Go highlights exactly where each match was found, why exceptions occurred, and which supporting evidence validates each conclusion — essential for audit trails and regulatory compliance in financial reconciliation.

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

Financial reconciliation involves sensitive transaction data requiring bank-level security. V7 Go provides SOC 2 Type II compliance, end-to-end encryption, and strict access controls, ensuring your financial data remains protected throughout the reconciliation process while meeting regulatory requirements.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Financial reconciliation involves sensitive transaction data requiring bank-level security. V7 Go provides SOC 2 Type II compliance, end-to-end encryption, and strict access controls, ensuring your financial data remains protected throughout the reconciliation process while meeting regulatory requirements.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

Reconciliation Documents

What types of reconciliation documents can V7 Go process?

V7 Go can process bank statements, general ledger extracts, credit card statements, investment account statements, intercompany reconciliations, and subsidiary financial records across multiple formats and currencies.

+

How accurate is V7 Go's transaction matching?

V7 Go achieves 98% accuracy in transaction matching by using intelligent algorithms that account for timing differences, amount variations, and description inconsistencies while learning from your specific reconciliation patterns.

+

Can V7 Go handle complex reconciliation scenarios?

Yes, V7 Go handles complex scenarios including many-to-one matching, foreign currency reconciliations, timing differences, and multi-step reconciliation processes with configurable matching rules.

+

How does V7 Go ensure data security during reconciliation?

V7 Go employs bank-grade security with SOC 2 Type II certification, end-to-end encryption, and strict access controls to protect sensitive financial data throughout the reconciliation process.

+

Can V7 Go integrate with existing accounting systems?

Yes, V7 Go integrates with major accounting systems including QuickBooks, SAP, NetSuite, and custom ERP systems through APIs and automated data feeds for seamless reconciliation workflows.

+

How quickly can V7 Go complete a monthly reconciliation?

V7 Go can complete monthly reconciliations in 2-4 hours compared to 2-3 days manually, depending on transaction volume and complexity, with immediate exception reporting and resolution guidance.

+

Pilot

Accelerate your reconciliation process

Accelerate your reconciliation process

Join finance teams using V7 Go for faster, more accurate reconciliations

Join finance teams using V7 Go for faster, more accurate reconciliations

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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