Analyze 10M+ transactions in hours
AI agent for Forensic Accountants
Find fraud patterns in millions of transactions
Delegate complex fraud detection to a specialized AI agent. It analyzes general ledgers, expense reports, and transaction histories to identify behavioral anomalies, unusual payment patterns, and suspicious account activity that indicate embezzlement or financial manipulation.
Ideal for
Forensic Accountants
Internal Audit
Fraud Investigators
See AI agent for Forensic Accountants in action
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See AI agent for Forensic Accountants in action
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See AI agent for Forensic Accountants in action
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Expense Fraud Investigation
See AI agent for Forensic Accountants in action
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Time comparison
Time comparison
Traditional way
6-12 weeks
With V7 Go agents
4-8 hours
Average time saved
98%
Why V7 Go
Why V7 Go
Behavioral Pattern Recognition
Identifies deviations from normal transaction patterns by analyzing timing, amounts, account relationships, and approval workflows to detect sophisticated fraud schemes that evolve over time.
Behavioral Pattern Recognition
Identifies deviations from normal transaction patterns by analyzing timing, amounts, account relationships, and approval workflows to detect sophisticated fraud schemes that evolve over time.
Behavioral Pattern Recognition
Identifies deviations from normal transaction patterns by analyzing timing, amounts, account relationships, and approval workflows to detect sophisticated fraud schemes that evolve over time.
Behavioral Pattern Recognition
Identifies deviations from normal transaction patterns by analyzing timing, amounts, account relationships, and approval workflows to detect sophisticated fraud schemes that evolve over time.
Anomaly Scoring and Prioritization
Ranks suspicious transactions by risk level based on multiple factors, allowing investigators to focus on the highest-probability fraud cases rather than chasing false positives.
Anomaly Scoring and Prioritization
Ranks suspicious transactions by risk level based on multiple factors, allowing investigators to focus on the highest-probability fraud cases rather than chasing false positives.
Anomaly Scoring and Prioritization
Ranks suspicious transactions by risk level based on multiple factors, allowing investigators to focus on the highest-probability fraud cases rather than chasing false positives.
Anomaly Scoring and Prioritization
Ranks suspicious transactions by risk level based on multiple factors, allowing investigators to focus on the highest-probability fraud cases rather than chasing false positives.
Vendor and Payee Analysis
Examines vendor payment patterns, duplicate payments, shell company indicators, and unusual payment timing to uncover kickback schemes and fictitious vendor fraud.
Vendor and Payee Analysis
Examines vendor payment patterns, duplicate payments, shell company indicators, and unusual payment timing to uncover kickback schemes and fictitious vendor fraud.
Vendor and Payee Analysis
Examines vendor payment patterns, duplicate payments, shell company indicators, and unusual payment timing to uncover kickback schemes and fictitious vendor fraud.
Vendor and Payee Analysis
Examines vendor payment patterns, duplicate payments, shell company indicators, and unusual payment timing to uncover kickback schemes and fictitious vendor fraud.
Journal Entry Examination
Analyzes manual journal entries for red flags like after-hours posting, unusual rounding patterns, lack of supporting documentation references, and entries that reverse shortly after period close.
Journal Entry Examination
Analyzes manual journal entries for red flags like after-hours posting, unusual rounding patterns, lack of supporting documentation references, and entries that reverse shortly after period close.
Journal Entry Examination
Analyzes manual journal entries for red flags like after-hours posting, unusual rounding patterns, lack of supporting documentation references, and entries that reverse shortly after period close.
Journal Entry Examination
Analyzes manual journal entries for red flags like after-hours posting, unusual rounding patterns, lack of supporting documentation references, and entries that reverse shortly after period close.
Employee Expense Pattern Analysis
Detects expense report fraud by identifying duplicate submissions, policy violations, unusual merchant patterns, and expenses that correlate with personal rather than business activity.
Employee Expense Pattern Analysis
Detects expense report fraud by identifying duplicate submissions, policy violations, unusual merchant patterns, and expenses that correlate with personal rather than business activity.
Employee Expense Pattern Analysis
Detects expense report fraud by identifying duplicate submissions, policy violations, unusual merchant patterns, and expenses that correlate with personal rather than business activity.
Employee Expense Pattern Analysis
Detects expense report fraud by identifying duplicate submissions, policy violations, unusual merchant patterns, and expenses that correlate with personal rather than business activity.
Complete Audit Trail
Every flagged transaction is linked back to its source in the general ledger with AI Citations, providing investigators with a clear, defensible trail of evidence for litigation or regulatory reporting.
Complete Audit Trail
Every flagged transaction is linked back to its source in the general ledger with AI Citations, providing investigators with a clear, defensible trail of evidence for litigation or regulatory reporting.
Complete Audit Trail
Every flagged transaction is linked back to its source in the general ledger with AI Citations, providing investigators with a clear, defensible trail of evidence for litigation or regulatory reporting.
Complete Audit Trail
Every flagged transaction is linked back to its source in the general ledger with AI Citations, providing investigators with a clear, defensible trail of evidence for litigation or regulatory reporting.
Analyzes any financial data source
To uncover hidden fraud patterns and anomalies.
Get started
Get started
Import your files
QuickBooks
,
Xero Accounting
,
Microsoft Excel
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your fraud detection protocols.
Connect AI to your fraud detection protocols.
Uncover schemes that traditional systems miss entirely.
Uncover schemes that traditional systems miss entirely.
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.
Financial data comes in countless formats. This agent handles everything from clean ERP exports to scanned bank statements, handwritten expense receipts, and complex multi-tab spreadsheets with embedded formulas and pivot tables.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
CSV Files
Complex Tables
Scanned Receipts
Excel Models
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Financial data comes in countless formats. This agent handles everything from clean ERP exports to scanned bank statements, handwritten expense receipts, and complex multi-tab spreadsheets with embedded formulas and pivot tables.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
CSV Files
Complex Tables
Scanned Receipts
Excel Models
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Financial data comes in countless formats. This agent handles everything from clean ERP exports to scanned bank statements, handwritten expense receipts, and complex multi-tab spreadsheets with embedded formulas and pivot tables.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
CSV Files
Complex Tables
Scanned Receipts
Excel Models
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
Fraud detection requires precision. The agent uses sophisticated reasoning to minimize false positives while ensuring that genuine fraud indicators are never missed, even in datasets with millions of transactions.
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.
Fraud detection requires precision. The agent uses sophisticated reasoning to minimize false positives while ensuring that genuine fraud indicators are never missed, even in datasets with millions of transactions.
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.
Fraud detection requires precision. The agent uses sophisticated reasoning to minimize false positives while ensuring that genuine fraud indicators are never missed, even in datasets with millions of transactions.
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 defensible cases with confidence. Every flagged transaction is visually linked to its source in the general ledger or bank statement, providing investigators with clear evidence trails for litigation and regulatory reporting.
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
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 198 15" xmlns="http://www.w3.org/2000/svg"><defs ><clipPath id="J0QEw1Ctk-2037569988-stroke"><use href="%23J0QEw1Ctk-2037569988"/></clipPath><path d="M 0 1 C 0 0.448 0.448 0 1 0 L 197 0 C 197.552 0 198 0.448 198 1 L 198 9 C 198 9.552 197.552 10 197 10 L 76 10 L 76 14 C 76 14.552 75.552 15 75 15 L 1 15 C 0.448 15 0 14.552 0 14 Z" id="J0QEw1Ctk-2037569988"/></defs><use fill="rgba(124, 58, 237, 0.1)" height="15px" href="%23J0QEw1Ctk-2037569988" id="J0QEw1Ctk" width="198px"/><use clip-path="url(%23J0QEw1Ctk-2037569988-stroke)" fill="transparent" href="%23J0QEw1Ctk-2037569988" stroke-dasharray="0" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="4" stroke-width="1" stroke="rgb(124, 58, 237)"/></svg>)
02
01
01
02
Trustworthy results,
grounded in reality.
Build defensible cases with confidence. Every flagged transaction is visually linked to its source in the general ledger or bank statement, providing investigators with clear evidence trails for litigation and regulatory reporting.
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 defensible cases with confidence. Every flagged transaction is visually linked to its source in the general ledger or bank statement, providing investigators with clear evidence trails for litigation and regulatory reporting.
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 fraud investigations involve highly sensitive data. V7 Go processes all transaction data within your secure environment, ensuring confidentiality and compliance with data protection regulations throughout the investigation.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Financial fraud investigations involve highly sensitive data. V7 Go processes all transaction data within your secure environment, ensuring confidentiality and compliance with data protection regulations throughout the investigation.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Financial fraud investigations involve highly sensitive data. V7 Go processes all transaction data within your secure environment, ensuring confidentiality and compliance with data protection regulations throughout the investigation.
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 Forensic Accountants
How does this differ from traditional fraud detection software?
Traditional systems rely on predefined rules and thresholds. This agent uses AI reasoning to understand context and identify subtle patterns that rule-based systems miss, such as behavioral changes over time or complex multi-step fraud schemes.
+
How does this differ from traditional fraud detection software?
Traditional systems rely on predefined rules and thresholds. This agent uses AI reasoning to understand context and identify subtle patterns that rule-based systems miss, such as behavioral changes over time or complex multi-step fraud schemes.
+
How does this differ from traditional fraud detection software?
Traditional systems rely on predefined rules and thresholds. This agent uses AI reasoning to understand context and identify subtle patterns that rule-based systems miss, such as behavioral changes over time or complex multi-step fraud schemes.
+
Can it detect fraud schemes it has never seen before?
Yes. Rather than matching known fraud signatures, the agent identifies deviations from normal business patterns. It flags transactions that are statistically unusual or behaviorally inconsistent, even if the specific fraud method is novel.
+
Can it detect fraud schemes it has never seen before?
Yes. Rather than matching known fraud signatures, the agent identifies deviations from normal business patterns. It flags transactions that are statistically unusual or behaviorally inconsistent, even if the specific fraud method is novel.
+
Can it detect fraud schemes it has never seen before?
Yes. Rather than matching known fraud signatures, the agent identifies deviations from normal business patterns. It flags transactions that are statistically unusual or behaviorally inconsistent, even if the specific fraud method is novel.
+
How does it reduce false positives?
The agent considers multiple contextual factors simultaneously, such as business cycle timing, organizational hierarchy, and historical patterns. This multi-dimensional analysis dramatically reduces false positives compared to single-threshold rule systems.
+
How does it reduce false positives?
The agent considers multiple contextual factors simultaneously, such as business cycle timing, organizational hierarchy, and historical patterns. This multi-dimensional analysis dramatically reduces false positives compared to single-threshold rule systems.
+
How does it reduce false positives?
The agent considers multiple contextual factors simultaneously, such as business cycle timing, organizational hierarchy, and historical patterns. This multi-dimensional analysis dramatically reduces false positives compared to single-threshold rule systems.
+
What types of financial data can it analyze?
The agent processes general ledgers, sub-ledgers, bank statements, credit card transactions, expense reports, accounts payable files, payroll data, and journal entry logs from any accounting system or ERP platform.
+
What types of financial data can it analyze?
The agent processes general ledgers, sub-ledgers, bank statements, credit card transactions, expense reports, accounts payable files, payroll data, and journal entry logs from any accounting system or ERP platform.
+
What types of financial data can it analyze?
The agent processes general ledgers, sub-ledgers, bank statements, credit card transactions, expense reports, accounts payable files, payroll data, and journal entry logs from any accounting system or ERP platform.
+
How quickly can it analyze a full fiscal year of transactions?
Processing time depends on data volume, but the agent typically analyzes millions of transactions in hours rather than the weeks or months required for manual review, allowing for rapid fraud investigation response.
+
How quickly can it analyze a full fiscal year of transactions?
Processing time depends on data volume, but the agent typically analyzes millions of transactions in hours rather than the weeks or months required for manual review, allowing for rapid fraud investigation response.
+
How quickly can it analyze a full fiscal year of transactions?
Processing time depends on data volume, but the agent typically analyzes millions of transactions in hours rather than the weeks or months required for manual review, allowing for rapid fraud investigation response.
+
Is the analysis admissible as evidence?
The agent provides a complete audit trail with visual citations linking every finding to source documents. This documentation supports expert testimony and meets evidentiary standards for litigation and regulatory proceedings.
+
Is the analysis admissible as evidence?
The agent provides a complete audit trail with visual citations linking every finding to source documents. This documentation supports expert testimony and meets evidentiary standards for litigation and regulatory proceedings.
+
Is the analysis admissible as evidence?
The agent provides a complete audit trail with visual citations linking every finding to source documents. This documentation supports expert testimony and meets evidentiary standards for litigation and regulatory proceedings.
+
Next steps
Next steps
Suspect fraud but buried in transaction data?
Send us a sample general ledger or transaction file. We'll show you what patterns our AI agent can identify in your data.
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: