90% ROI increase
AI Financial Reconciliation Agent
Close your books in hours, not days
Delegate the tedious work of reconciliation to a specialized AI agent. It automates financial reconciliation by matching transactions across multiple systems and documents, allowing your team to focus on resolving exceptions, not finding them.
Shareholder agreement review
See AI Financial Reconciliation Agent in action
Play video
Shareholder agreement review
See AI Financial Reconciliation Agent in action
Play video
Shareholder agreement review
See AI Financial Reconciliation Agent in action
Play video
Shareholder agreement review
See AI Financial Reconciliation Agent in action
Play video
Time comparison
Time comparison
Traditional way
3-5 days per reconciliation cycle
3-5 days per reconciliation cycle
With V7 Go agents
2-4 hours
2-4 hours
Average time saved
90%
90%
Why V7 Go
Why V7 Go
Multi-Way Transaction Matching
Perform two-way, three-way, or multi-way matching across documents. The agent can reconcile invoices to payments, bank statements to the general ledger, or all three simultaneously to ensure every transaction is accounted for.
Multi-Way Transaction Matching
Perform two-way, three-way, or multi-way matching across documents. The agent can reconcile invoices to payments, bank statements to the general ledger, or all three simultaneously to ensure every transaction is accounted for.
Multi-Way Transaction Matching
Perform two-way, three-way, or multi-way matching across documents. The agent can reconcile invoices to payments, bank statements to the general ledger, or all three simultaneously to ensure every transaction is accounted for.
Multi-Way Transaction Matching
Perform two-way, three-way, or multi-way matching across documents. The agent can reconcile invoices to payments, bank statements to the general ledger, or all three simultaneously to ensure every transaction is accounted for.
Automated Data Ingestion
Connect directly to ERPs and accounting systems or upload documents in any format. The agent extracts and normalizes transaction data from PDF bank statements, spreadsheet exports, and system-generated reports.
Automated Data Ingestion
Connect directly to ERPs and accounting systems or upload documents in any format. The agent extracts and normalizes transaction data from PDF bank statements, spreadsheet exports, and system-generated reports.
Automated Data Ingestion
Connect directly to ERPs and accounting systems or upload documents in any format. The agent extracts and normalizes transaction data from PDF bank statements, spreadsheet exports, and system-generated reports.
Automated Data Ingestion
Connect directly to ERPs and accounting systems or upload documents in any format. The agent extracts and normalizes transaction data from PDF bank statements, spreadsheet exports, and system-generated reports.
Intelligent Matching Logic
The agent uses sophisticated matching algorithms guided by configurable business rules. It can match transactions based on multiple keys (amount, date, invoice number) and handle variations in data formatting or minor discrepancies within set tolerances.
Intelligent Matching Logic
The agent uses sophisticated matching algorithms guided by configurable business rules. It can match transactions based on multiple keys (amount, date, invoice number) and handle variations in data formatting or minor discrepancies within set tolerances.
Intelligent Matching Logic
The agent uses sophisticated matching algorithms guided by configurable business rules. It can match transactions based on multiple keys (amount, date, invoice number) and handle variations in data formatting or minor discrepancies within set tolerances.
Intelligent Matching Logic
The agent uses sophisticated matching algorithms guided by configurable business rules. It can match transactions based on multiple keys (amount, date, invoice number) and handle variations in data formatting or minor discrepancies within set tolerances.
Automated Exception Handling
Instead of just failing on a mismatch, the agent flags any transactions that cannot be reconciled automatically. It provides a clear report of all exceptions, categorizes the likely reason for the mismatch, and routes it for human review.
Automated Exception Handling
Instead of just failing on a mismatch, the agent flags any transactions that cannot be reconciled automatically. It provides a clear report of all exceptions, categorizes the likely reason for the mismatch, and routes it for human review.
Automated Exception Handling
Instead of just failing on a mismatch, the agent flags any transactions that cannot be reconciled automatically. It provides a clear report of all exceptions, categorizes the likely reason for the mismatch, and routes it for human review.
Automated Exception Handling
Instead of just failing on a mismatch, the agent flags any transactions that cannot be reconciled automatically. It provides a clear report of all exceptions, categorizes the likely reason for the mismatch, and routes it for human review.
Sub-Ledger Reconciliation
Automate the reconciliation of sub-ledgers (like Accounts Payable and Accounts Receivable) to the General Ledger. This ensures that detailed transactional records are perfectly aligned with summary-level financial reporting.
Sub-Ledger Reconciliation
Automate the reconciliation of sub-ledgers (like Accounts Payable and Accounts Receivable) to the General Ledger. This ensures that detailed transactional records are perfectly aligned with summary-level financial reporting.
Sub-Ledger Reconciliation
Automate the reconciliation of sub-ledgers (like Accounts Payable and Accounts Receivable) to the General Ledger. This ensures that detailed transactional records are perfectly aligned with summary-level financial reporting.
Sub-Ledger Reconciliation
Automate the reconciliation of sub-ledgers (like Accounts Payable and Accounts Receivable) to the General Ledger. This ensures that detailed transactional records are perfectly aligned with summary-level financial reporting.
Audit-Ready Trail and Reporting
Generate a complete, verifiable log of the entire reconciliation process. The report details which transactions were matched, the rules applied, and provides a clear list of all outstanding items, which helps with audits and internal controls.
Audit-Ready Trail and Reporting
Generate a complete, verifiable log of the entire reconciliation process. The report details which transactions were matched, the rules applied, and provides a clear list of all outstanding items, which helps with audits and internal controls.
Audit-Ready Trail and Reporting
Generate a complete, verifiable log of the entire reconciliation process. The report details which transactions were matched, the rules applied, and provides a clear list of all outstanding items, which helps with audits and internal controls.
Audit-Ready Trail and Reporting
Generate a complete, verifiable log of the entire reconciliation process. The report details which transactions were matched, the rules applied, and provides a clear list of all outstanding items, which helps with audits and internal controls.
Process bank statements, invoices, and general ledger exports.
Get lists of matched transactions and exception reports.
Get started
Get started
Import your files
SAP
,
NetSuite
,
QuickBooks
Import your files from whereever they are currently stored
Bank Statements (PDF, CSV)
Bank Statements (PDF, CSV)
Credit Card Statements
Credit Card Statements
General Ledger (GL) Exports
General Ledger (GL) Exports
Payment Gateway Reports (e.g., Stripe)
Payment Gateway Reports (e.g., Stripe)
Sales & Purchase Invoices
Sales & Purchase Invoices
Accounts Payable/Receivable Ledgers
Accounts Payable/Receivable Ledgers
All types of Tax documents supported
List of Matched Transactions
List of Matched Transactions
Unmatched Items & Exception Report
Unmatched Items & Exception Report
Reconciliation Summary Report
Reconciliation Summary Report
Suggested Journal Entries for Discrepancies
Suggested Journal Entries for Discrepancies
Reason Codes for Mismatches
Reason Codes for Mismatches
Complete Audit Trail Log
Complete Audit Trail Log
Amount Variances
Amount Variances
Timing Differences
Timing Differences
Missing Transactions
Missing Transactions
Duplicate Entries
Duplicate Entries
Item 01
Item 01
Once imported our system extracts and organises the essentials
Customer Voices
Customer Voices
Building trustworthy AI, trained on your data.
Join the world's best teams and Fortune 500s.
Building trustworthy AI. Join the world's best teams and Fortune 500s.
Healthcare
•
Finance
•
Legal
•
Insurance
•
Logistics
•
Biotechnology
•
Manufacturing
•
Real Estate
Healthcare
•
Finance
•
Legal
•
Insurance
•
Logistics
•
Biotechnology
•
Manufacturing
•
Real Estate
Healthcare
•
Finance
•
Legal
•
Insurance
•
Logistics
•
Biotechnology
•
Manufacturing
•
Real Estate
Customer Voices
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
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
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Read the full story
Automotive
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Read the full story
Automotive
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Read the full story
Agriculture
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
Read the full story
Agriculture
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
Read the full story
Healthcare
“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”
Read the full story
Healthcare
“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”
Read the full story
Software
“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”
Read the full story
Software
“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”
Read the full story
Agriculture
"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."
Read the full story
Agriculture
"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."
Read the full story
Healthcare
"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."
Read the full story
Healthcare
"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."
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
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Read the full story
Automotive
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Read the full story
Agriculture
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
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.
From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Graphs
Speadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Graphs
Speadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Graphs
Speadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate through GenAI reasoning.
Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.
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
Off
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate through GenAI reasoning.
Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.
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
Off
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate through GenAI reasoning.
Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.
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
Off
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.
Visual grouding 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.
You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.
Visual grouding 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.
You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.
Visual grouding 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.
Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security for high-stake industries.
Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Pilot
Pilot
Curious how we can realise 90% ROI increase for you?
Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.
Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.
Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.
You’ll hear back in less than 24 hours
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
V7 Go
V7 Go
AI-powered reconciliation
for accounting teams
Accounting teams spend up to 40% of their month-end close process manually reconciling transactions. This involves painstakingly matching line items from bank statements, invoices, and the general ledger, often using complex spreadsheets. The process is slow, prone to human error, and a major bottleneck to producing timely financial reports. V7 Go's Financial Reconciliation Agent automates this workflow by ingesting data from any source and performing multi-way matching to identify and flag exceptions in minutes, not days.
Financial Controllers
Gain confidence in financial data and accelerate the month-end close. Free up your team from manual tasks to focus on variance analysis and strategic financial work.
Financial Controllers
Gain confidence in financial data and accelerate the month-end close. Free up your team from manual tasks to focus on variance analysis and strategic financial work.
Financial Controllers
Gain confidence in financial data and accelerate the month-end close. Free up your team from manual tasks to focus on variance analysis and strategic financial work.
Staff Accountants & AP/AR Teams
Eliminate the most tedious part of the job. Instead of manually 'ticking and tying' thousands of lines, focus on investigating and resolving the few complex discrepancies the AI flags.
Staff Accountants & AP/AR Teams
Eliminate the most tedious part of the job. Instead of manually 'ticking and tying' thousands of lines, focus on investigating and resolving the few complex discrepancies the AI flags.
Staff Accountants & AP/AR Teams
Eliminate the most tedious part of the job. Instead of manually 'ticking and tying' thousands of lines, focus on investigating and resolving the few complex discrepancies the AI flags.
Testimonials
Testimonials
Secure and trustworthy AI.
Hear what customers say.
Secure and trustworthy AI.
Hear what customers say.
Increase in Processing Speed
21x
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
Specialized Asset Management Firm
Document Type
20+ Page Reports
We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.
Ryan Ziegler
CEO of Certainty Software
Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.
International Law Firm
Increase in Processing Speed
21x
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
Specialized Asset Management Firm
Document Type
20+ Page Reports
We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.
Ryan Ziegler
CEO of Certainty Software
Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.
International Law Firm
Increase in Processing Speed
21x
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
Specialized Asset Management Firm
Document Type
20+ Page Reports
We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.
Ryan Ziegler
CEO of Certainty Software
Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.
International Law Firm
Answers
Answers
What you need to know about our
AI Financial Reconciliation Agent
What is multi-way matching?
It's the process of verifying a transaction against multiple sources. For example, a three-way match confirms that the details on a purchase order, the vendor invoice, and the payment record in the bank statement are all consistent. The agent automates this complex matching process.
+
What is multi-way matching?
It's the process of verifying a transaction against multiple sources. For example, a three-way match confirms that the details on a purchase order, the vendor invoice, and the payment record in the bank statement are all consistent. The agent automates this complex matching process.
+
What is multi-way matching?
It's the process of verifying a transaction against multiple sources. For example, a three-way match confirms that the details on a purchase order, the vendor invoice, and the payment record in the bank statement are all consistent. The agent automates this complex matching process.
+
What financial systems can the agent connect to?
The agent can integrate with major ERP and accounting platforms like SAP, NetSuite, Oracle, and QuickBooks via API. It can also process exported files (like CSVs or PDFs) from any system, including bank portals and credit card providers.
+
What financial systems can the agent connect to?
The agent can integrate with major ERP and accounting platforms like SAP, NetSuite, Oracle, and QuickBooks via API. It can also process exported files (like CSVs or PDFs) from any system, including bank portals and credit card providers.
+
What financial systems can the agent connect to?
The agent can integrate with major ERP and accounting platforms like SAP, NetSuite, Oracle, and QuickBooks via API. It can also process exported files (like CSVs or PDFs) from any system, including bank portals and credit card providers.
+
How does the agent handle unstructured documents like PDF bank statements?
V7 Go uses advanced document processing AI to accurately extract transactional data, including dates, descriptions, and amounts, from any PDF or scanned document. It then normalizes this data into a structured format ready for reconciliation.
+
How does the agent handle unstructured documents like PDF bank statements?
V7 Go uses advanced document processing AI to accurately extract transactional data, including dates, descriptions, and amounts, from any PDF or scanned document. It then normalizes this data into a structured format ready for reconciliation.
+
How does the agent handle unstructured documents like PDF bank statements?
V7 Go uses advanced document processing AI to accurately extract transactional data, including dates, descriptions, and amounts, from any PDF or scanned document. It then normalizes this data into a structured format ready for reconciliation.
+
How are the matching rules configured?
You can define your own reconciliation rules within a no-code interface. This includes setting tolerance levels for amounts (e.g., match if within $0.05), date ranges, and defining which fields to use as primary and secondary matching keys (e.g., invoice number, customer name).
+
How are the matching rules configured?
You can define your own reconciliation rules within a no-code interface. This includes setting tolerance levels for amounts (e.g., match if within $0.05), date ranges, and defining which fields to use as primary and secondary matching keys (e.g., invoice number, customer name).
+
How are the matching rules configured?
You can define your own reconciliation rules within a no-code interface. This includes setting tolerance levels for amounts (e.g., match if within $0.05), date ranges, and defining which fields to use as primary and secondary matching keys (e.g., invoice number, customer name).
+
How does this differ from the reconciliation tools built into our ERP?
ERP reconciliation modules are often rigid and struggle to incorporate data from external or unstructured sources like bank statements from different banks. V7 Go's agent is flexible, connects across multiple systems and document types, and uses more sophisticated matching logic to handle real-world data complexity.
+
How does this differ from the reconciliation tools built into our ERP?
ERP reconciliation modules are often rigid and struggle to incorporate data from external or unstructured sources like bank statements from different banks. V7 Go's agent is flexible, connects across multiple systems and document types, and uses more sophisticated matching logic to handle real-world data complexity.
+
How does this differ from the reconciliation tools built into our ERP?
ERP reconciliation modules are often rigid and struggle to incorporate data from external or unstructured sources like bank statements from different banks. V7 Go's agent is flexible, connects across multiple systems and document types, and uses more sophisticated matching logic to handle real-world data complexity.
+
Can the agent handle high volumes of transactions?
Yes, the agent is built to scale. It can process hundreds of thousands of transactions in a fraction of the time it would take a human team, making it ideal for businesses of any size, especially those with high transaction volumes.
+
Can the agent handle high volumes of transactions?
Yes, the agent is built to scale. It can process hundreds of thousands of transactions in a fraction of the time it would take a human team, making it ideal for businesses of any size, especially those with high transaction volumes.
+
Can the agent handle high volumes of transactions?
Yes, the agent is built to scale. It can process hundreds of thousands of transactions in a fraction of the time it would take a human team, making it ideal for businesses of any size, especially those with high transaction volumes.
+
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AI Early Payment Discount Identification Agent
Delegate discount identification to an AI agent. It scans all incoming invoices and contracts to find and prioritize every early payment discount opportunity.
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AI Early Payment Discount Identification Agent
Delegate discount identification to an AI agent. It scans all incoming invoices and contracts to find and prioritize every early payment discount opportunity.
Discount Term Extraction
Opportunity Prioritization
Deadline Tracking
Tax
AI E-Invoicing Agent
Automate e-invoicing with an AI agent that processes any structured format like Peppol, UBL, or Factur-X. Eliminate manual validation and ensure seamless ERP integration.
Universal Format Processing
Automated Data Validation
ERP Integration
Tax
AI E-Invoicing Agent
Automate e-invoicing with an AI agent that processes any structured format like Peppol, UBL, or Factur-X. Eliminate manual validation and ensure seamless ERP integration.
Universal Format Processing
Automated Data Validation
ERP Integration
Tax
AI E-Invoicing Agent
Automate e-invoicing with an AI agent that processes any structured format like Peppol, UBL, or Factur-X. Eliminate manual validation and ensure seamless ERP integration.
Universal Format Processing
Automated Data Validation
ERP Integration
Tax
AI VAT Compliance Agent
Ensure VAT compliance on every transaction with an AI agent that verifies rates, rules, and invoice data across jurisdictions. Reduce audit risk and manual work.
Jurisdiction-Specific Logic
Transaction Classification
Real-Time Rate Check
Tax
AI VAT Compliance Agent
Ensure VAT compliance on every transaction with an AI agent that verifies rates, rules, and invoice data across jurisdictions. Reduce audit risk and manual work.
Jurisdiction-Specific Logic
Transaction Classification
Real-Time Rate Check
Tax
AI VAT Compliance Agent
Ensure VAT compliance on every transaction with an AI agent that verifies rates, rules, and invoice data across jurisdictions. Reduce audit risk and manual work.
Jurisdiction-Specific Logic
Transaction Classification
Real-Time Rate Check
Tax
AI Tax Authority Correspondence Agent
Automate the management of tax authority correspondence. Our AI agent classifies notices, extracts deadlines, drafts responses, and reduces audit risk.
Notice Classification & Triage
Deadline & Requirement Extraction
Automated Response Drafting
Tax
AI Tax Authority Correspondence Agent
Automate the management of tax authority correspondence. Our AI agent classifies notices, extracts deadlines, drafts responses, and reduces audit risk.
Notice Classification & Triage
Deadline & Requirement Extraction
Automated Response Drafting
Tax
AI Tax Authority Correspondence Agent
Automate the management of tax authority correspondence. Our AI agent classifies notices, extracts deadlines, drafts responses, and reduces audit risk.
Notice Classification & Triage
Deadline & Requirement Extraction
Automated Response Drafting
Tax
AI Tax Exposure Analysis Agent
Use V7 Go's AI agent to analyze contracts for hidden tax risks. Identify tax indemnification, withholding, and transfer pricing clauses automatically.
Tax Clause Identification
Cross-Border Risk Flagging
Tax Risk Categorization
Tax
AI Tax Exposure Analysis Agent
Use V7 Go's AI agent to analyze contracts for hidden tax risks. Identify tax indemnification, withholding, and transfer pricing clauses automatically.
Tax Clause Identification
Cross-Border Risk Flagging
Tax Risk Categorization
Tax
AI Tax Exposure Analysis Agent
Use V7 Go's AI agent to analyze contracts for hidden tax risks. Identify tax indemnification, withholding, and transfer pricing clauses automatically.
Tax Clause Identification
Cross-Border Risk Flagging
Tax Risk Categorization
Tax
AI 10-K Disclosure Analysis Agent
Use an AI agent to analyze SEC 10-K filings. Extract key disclosures, compare year-over-year changes, and identify risks in MD&A and Risk Factors sections.
Comparative (YoY) Analysis
Narrative Risk Extraction
MD&A Thematic Analysis
Tax
AI 10-K Disclosure Analysis Agent
Use an AI agent to analyze SEC 10-K filings. Extract key disclosures, compare year-over-year changes, and identify risks in MD&A and Risk Factors sections.
Comparative (YoY) Analysis
Narrative Risk Extraction
MD&A Thematic Analysis
Tax
AI 10-K Disclosure Analysis Agent
Use an AI agent to analyze SEC 10-K filings. Extract key disclosures, compare year-over-year changes, and identify risks in MD&A and Risk Factors sections.
Comparative (YoY) Analysis
Narrative Risk Extraction
MD&A Thematic Analysis
Next Step
Next Step
Close your books faster and with greater confidence.
Close your books faster and with greater confidence.
Close your books faster and with greater confidence.
Let AI handle the tedious work of reconciliation.
Let AI handle the tedious work of reconciliation.
Let AI handle the tedious work of reconciliation.
You’ll hear back in less than 24 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: