Process credit notes 98% faster
AI Credit Note Processing Agent
Let AI handle the paperwork you hate
You chose a career in finance for your analytical skills, not to manually match paperwork. Delegate the tedious work of processing credit notes to a specialized AI agent. It automatically reads credit memos, matches them to the correct invoices, and queues the data for your accounting system.

Ideal for
Accounts Payable
Accounts Receivable
Shared Services

See AI Credit Note Processing Agent in action
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See AI Credit Note Processing Agent in action
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See AI Credit Note Processing Agent in action
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Month-End Credit Reconciliation
See AI Credit Note Processing Agent in action
Play video
Time comparison
Time comparison
Traditional way
5-10 minutes per note
With V7 Go agents
10 seconds
Average time saved
98%
Why V7 Go
Why V7 Go
Automated Data Extraction
Reads credit notes in any format—PDF, email, scanned image—to automatically extract all key data, including customer/vendor name, credit amount, and original invoice number.
Automated Data Extraction
Reads credit notes in any format—PDF, email, scanned image—to automatically extract all key data, including customer/vendor name, credit amount, and original invoice number.
Automated Data Extraction
Reads credit notes in any format—PDF, email, scanned image—to automatically extract all key data, including customer/vendor name, credit amount, and original invoice number.
Automated Data Extraction
Reads credit notes in any format—PDF, email, scanned image—to automatically extract all key data, including customer/vendor name, credit amount, and original invoice number.
Invoice Matching & Reconciliation
Intelligently matches credit notes to the corresponding original invoices using invoice numbers, PO numbers, or other reference data, automating the reconciliation process.
Invoice Matching & Reconciliation
Intelligently matches credit notes to the corresponding original invoices using invoice numbers, PO numbers, or other reference data, automating the reconciliation process.
Invoice Matching & Reconciliation
Intelligently matches credit notes to the corresponding original invoices using invoice numbers, PO numbers, or other reference data, automating the reconciliation process.
Invoice Matching & Reconciliation
Intelligently matches credit notes to the corresponding original invoices using invoice numbers, PO numbers, or other reference data, automating the reconciliation process.
General Ledger Coding
Based on your company's rules, the agent can automatically assign the correct GL codes for credit adjustments, ensuring accuracy in your financial reporting.
General Ledger Coding
Based on your company's rules, the agent can automatically assign the correct GL codes for credit adjustments, ensuring accuracy in your financial reporting.
General Ledger Coding
Based on your company's rules, the agent can automatically assign the correct GL codes for credit adjustments, ensuring accuracy in your financial reporting.
General Ledger Coding
Based on your company's rules, the agent can automatically assign the correct GL codes for credit adjustments, ensuring accuracy in your financial reporting.
Exception Handling
Automatically identifies and routes any credit notes with issues—like a missing invoice number or a mismatched amount—to a human for review, ensuring experts focus only on exceptions.
Exception Handling
Automatically identifies and routes any credit notes with issues—like a missing invoice number or a mismatched amount—to a human for review, ensuring experts focus only on exceptions.
Exception Handling
Automatically identifies and routes any credit notes with issues—like a missing invoice number or a mismatched amount—to a human for review, ensuring experts focus only on exceptions.
Exception Handling
Automatically identifies and routes any credit notes with issues—like a missing invoice number or a mismatched amount—to a human for review, ensuring experts focus only on exceptions.
ERP System Integration
Delivers clean, validated, and matched credit data in a structured format ready for direct import into your ERP or accounting system, such as SAP, NetSuite, or QuickBooks.
ERP System Integration
Delivers clean, validated, and matched credit data in a structured format ready for direct import into your ERP or accounting system, such as SAP, NetSuite, or QuickBooks.
ERP System Integration
Delivers clean, validated, and matched credit data in a structured format ready for direct import into your ERP or accounting system, such as SAP, NetSuite, or QuickBooks.
ERP System Integration
Delivers clean, validated, and matched credit data in a structured format ready for direct import into your ERP or accounting system, such as SAP, NetSuite, or QuickBooks.
Complete Audit Trail
Provides a verifiable record of every processed credit note. Each data point is visually linked back to its source on the original document, ensuring full transparency for audits.
Complete Audit Trail
Provides a verifiable record of every processed credit note. Each data point is visually linked back to its source on the original document, ensuring full transparency for audits.
Complete Audit Trail
Provides a verifiable record of every processed credit note. Each data point is visually linked back to its source on the original document, ensuring full transparency for audits.
Complete Audit Trail
Provides a verifiable record of every processed credit note. Each data point is visually linked back to its source on the original document, ensuring full transparency for audits.
Processes credit notes and related documents
To ensure fast and accurate reconciliation.
Get started
Get started
Import your files
NetSuite
,
SAP Ariba
,
QuickBooks
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 accounting workflow.
Connect AI to your accounting workflow.
Turn your most tedious tasks into workflows that solve themselves.
Turn your most tedious tasks into workflows that solve themselves.
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.
Processes documents in any format.
Up to 200 pages.
Credit notes arrive in countless formats. This agent handles them all, from multi-page PDFs with complex tables to scanned paper documents and simple text in an email body. You don’t need to be an AI developer to make it work.
Input types
50+ languages
Handwritten
200 pages
JSON
Document types
PDFs
Low-Quality Scans
Tables
Emails
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Processes documents in any format.
Up to 200 pages.
Credit notes arrive in countless formats. This agent handles them all, from multi-page PDFs with complex tables to scanned paper documents and simple text in an email body. You don’t need to be an AI developer to make it work.
Input types
50+ languages
Handwritten
200 pages
JSON
Document types
PDFs
Low-Quality Scans
Tables
Emails
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Processes documents in any format.
Up to 200 pages.
Credit notes arrive in countless formats. This agent handles them all, from multi-page PDFs with complex tables to scanned paper documents and simple text in an email body. You don’t need to be an AI developer to make it work.
Input types
50+ languages
Handwritten
200 pages
JSON
Document types
PDFs
Low-Quality Scans
Tables
Emails
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy
with AI reasoning.
Accurate financials depend on accurate inputs. The agent uses AI reasoning to precisely extract and match invoice numbers and credit amounts, eliminating the risk of costly manual data entry errors.
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.
Accurate financials depend on accurate inputs. The agent uses AI reasoning to precisely extract and match invoice numbers and credit amounts, eliminating the risk of costly manual data entry errors.
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.
Accurate financials depend on accurate inputs. The agent uses AI reasoning to precisely extract and match invoice numbers and credit amounts, eliminating the risk of costly manual data entry errors.
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 trail for every credit memo. Each extracted data point is visually linked back to its precise location on the source document, providing complete transparency for your team and your auditors.

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 trail for every credit memo. Each extracted data point is visually linked back to its precise location on the source document, providing complete transparency for your team and your auditors.

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 trail for every credit memo. Each extracted data point is visually linked back to its precise location on the source document, providing complete transparency for your team and your auditors.

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.
Credit notes and invoices contain confidential commercial data. V7 Go processes this information within your secure environment, ensuring your financial data remains protected and private.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive financial data.
Credit notes and invoices contain confidential commercial data. V7 Go processes this information within your secure environment, ensuring your financial data remains protected and private.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive financial data.
Credit notes and invoices contain confidential commercial data. V7 Go processes this information within your secure environment, ensuring your financial data remains protected and private.
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 Credit Note Processing Agent
What happens if the original invoice number is not on the credit note?
The agent can use other data points like the PO number or customer ID to suggest a likely match. If it cannot find a high-confidence match, it will automatically flag the credit note and route it to an exception queue for manual review by your team.
+
What happens if the original invoice number is not on the credit note?
The agent can use other data points like the PO number or customer ID to suggest a likely match. If it cannot find a high-confidence match, it will automatically flag the credit note and route it to an exception queue for manual review by your team.
+
What happens if the original invoice number is not on the credit note?
The agent can use other data points like the PO number or customer ID to suggest a likely match. If it cannot find a high-confidence match, it will automatically flag the credit note and route it to an exception queue for manual review by your team.
+
Can it handle credit notes in different languages and currencies?
Yes. The platform can process documents in over 50 languages and is designed to recognize and normalize different currency formats, making it ideal for global finance operations.
+
Can it handle credit notes in different languages and currencies?
Yes. The platform can process documents in over 50 languages and is designed to recognize and normalize different currency formats, making it ideal for global finance operations.
+
Can it handle credit notes in different languages and currencies?
Yes. The platform can process documents in over 50 languages and is designed to recognize and normalize different currency formats, making it ideal for global finance operations.
+
How does it connect to our accounting system?
V7 Go can integrate in several ways. The most common is by generating a structured CSV or Excel file that is perfectly formatted for import into your ERP. For some systems, it can also connect via API to post the data directly.
+
How does it connect to our accounting system?
V7 Go can integrate in several ways. The most common is by generating a structured CSV or Excel file that is perfectly formatted for import into your ERP. For some systems, it can also connect via API to post the data directly.
+
How does it connect to our accounting system?
V7 Go can integrate in several ways. The most common is by generating a structured CSV or Excel file that is perfectly formatted for import into your ERP. For some systems, it can also connect via API to post the data directly.
+
How is this different from the invoice processing features in our ERP?
Most ERP systems require structured data. This agent specializes in handling the messy, unstructured data at the beginning of the process—reading PDFs and scanned images—to create the clean, validated data your ERP needs to work effectively.
+
How is this different from the invoice processing features in our ERP?
Most ERP systems require structured data. This agent specializes in handling the messy, unstructured data at the beginning of the process—reading PDFs and scanned images—to create the clean, validated data your ERP needs to work effectively.
+
How is this different from the invoice processing features in our ERP?
Most ERP systems require structured data. This agent specializes in handling the messy, unstructured data at the beginning of the process—reading PDFs and scanned images—to create the clean, validated data your ERP needs to work effectively.
+
Can we define our own rules for GL coding?
Absolutely. You provide your chart of accounts and coding logic to a V7 Go Knowledge Hub. The agent then uses these custom rules to apply the correct GL codes based on the data it extracts from the credit note.
+
Can we define our own rules for GL coding?
Absolutely. You provide your chart of accounts and coding logic to a V7 Go Knowledge Hub. The agent then uses these custom rules to apply the correct GL codes based on the data it extracts from the credit note.
+
Can we define our own rules for GL coding?
Absolutely. You provide your chart of accounts and coding logic to a V7 Go Knowledge Hub. The agent then uses these custom rules to apply the correct GL codes based on the data it extracts from the credit note.
+
How do we know the extracted data is accurate?
Through AI Citations. Every piece of extracted data, from the credit amount to the invoice number, is visually linked back to its precise location on the original document, allowing for instant and effortless verification.
+
How do we know the extracted data is accurate?
Through AI Citations. Every piece of extracted data, from the credit amount to the invoice number, is visually linked back to its precise location on the original document, allowing for instant and effortless verification.
+
How do we know the extracted data is accurate?
Through AI Citations. Every piece of extracted data, from the credit amount to the invoice number, is visually linked back to its precise location on the original document, allowing for instant and effortless verification.
+
Next steps
Next steps
Remember the last credit note you hated processing?
Let’s really make that the last time. Send us a batch of credit notes and we’ll show you how an AI agent can automate the entire reconciliation process.
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: