Avoid costly rework & delays
Document Validation Agent
Ensure every file is perfect, every time
Delegate your tedious document checking to a specialized AI agent. It analyzes entire document packets to verify that all required forms are present, all mandatory fields are completed, and that key data is consistent across every document.

Ideal for
Logistics
Compliance
Operations

See Document Validation Agent in action
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See Document Validation Agent in action
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See Document Validation Agent in action
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Customs Documentation Check
See Document Validation Agent in action
Play video
Time comparison
Time comparison
Traditional way
15-30 minutes per packet
15-30 minutes per packet
With V7 Go agents
1 minute
1 minute
Average time saved
95%
95%
Why V7 Go
Why V7 Go
Document Completeness Check
Verifies that a document package (e.g., a mortgage application, a customs declaration) contains all the required forms, schedules, and addendums based on your custom checklists.
Document Completeness Check
Verifies that a document package (e.g., a mortgage application, a customs declaration) contains all the required forms, schedules, and addendums based on your custom checklists.
Document Completeness Check
Verifies that a document package (e.g., a mortgage application, a customs declaration) contains all the required forms, schedules, and addendums based on your custom checklists.
Document Completeness Check
Verifies that a document package (e.g., a mortgage application, a customs declaration) contains all the required forms, schedules, and addendums based on your custom checklists.
Cross-Document Data Consistency
Compares key data points—like names, addresses, dates, and amounts—across multiple documents in a packet to identify and flag any inconsistencies or mismatches.
Cross-Document Data Consistency
Compares key data points—like names, addresses, dates, and amounts—across multiple documents in a packet to identify and flag any inconsistencies or mismatches.
Cross-Document Data Consistency
Compares key data points—like names, addresses, dates, and amounts—across multiple documents in a packet to identify and flag any inconsistencies or mismatches.
Cross-Document Data Consistency
Compares key data points—like names, addresses, dates, and amounts—across multiple documents in a packet to identify and flag any inconsistencies or mismatches.
Mandatory Field Verification
Scans forms to ensure that all required fields have been completed and flags any missing signatures, dates, or other critical information before processing.
Mandatory Field Verification
Scans forms to ensure that all required fields have been completed and flags any missing signatures, dates, or other critical information before processing.
Mandatory Field Verification
Scans forms to ensure that all required fields have been completed and flags any missing signatures, dates, or other critical information before processing.
Mandatory Field Verification
Scans forms to ensure that all required fields have been completed and flags any missing signatures, dates, or other critical information before processing.
Template & Version Conformance
Checks if a submitted document conforms to the correct version of your company's official template, preventing the use of outdated or incorrect forms.
Template & Version Conformance
Checks if a submitted document conforms to the correct version of your company's official template, preventing the use of outdated or incorrect forms.
Template & Version Conformance
Checks if a submitted document conforms to the correct version of your company's official template, preventing the use of outdated or incorrect forms.
Template & Version Conformance
Checks if a submitted document conforms to the correct version of your company's official template, preventing the use of outdated or incorrect forms.
Automated Exception Queues
Automatically routes any document packet with errors or omissions to an exception queue for human review, while allowing fully compliant packets to proceed without delay.
Automated Exception Queues
Automatically routes any document packet with errors or omissions to an exception queue for human review, while allowing fully compliant packets to proceed without delay.
Automated Exception Queues
Automatically routes any document packet with errors or omissions to an exception queue for human review, while allowing fully compliant packets to proceed without delay.
Automated Exception Queues
Automatically routes any document packet with errors or omissions to an exception queue for human review, while allowing fully compliant packets to proceed without delay.
Clear Validation Reporting
Generates a simple pass/fail report for each document packet, detailing exactly what was missing or inconsistent, with direct citations for fast correction.
Clear Validation Reporting
Generates a simple pass/fail report for each document packet, detailing exactly what was missing or inconsistent, with direct citations for fast correction.
Clear Validation Reporting
Generates a simple pass/fail report for each document packet, detailing exactly what was missing or inconsistent, with direct citations for fast correction.
Clear Validation Reporting
Generates a simple pass/fail report for each document packet, detailing exactly what was missing or inconsistent, with direct citations for fast correction.
Validates entire document packets for consistency
To ensure perfect compliance and accuracy.
Get started
Get started
Import your files
SAP
,
SharePoint
,
DocuSign
Import your files from whereever they are currently stored
All types of Logistics documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your compliance checklists.
Connect AI to your compliance checklists.
Ensure perfect data accuracy from the first step.
Ensure perfect data accuracy from the first step.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
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
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
“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
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
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
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
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.
Validation requires checking entire document sets. The agent is built to process complex packets containing a mix of formats, from filled-out application forms and scanned IDs to dense legal contracts and supporting spreadsheets.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
Forms
Tables
Low-Quality Scans
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Validation requires checking entire document sets. The agent is built to process complex packets containing a mix of formats, from filled-out application forms and scanned IDs to dense legal contracts and supporting spreadsheets.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
Forms
Tables
Low-Quality Scans
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Validation requires checking entire document sets. The agent is built to process complex packets containing a mix of formats, from filled-out application forms and scanned IDs to dense legal contracts and supporting spreadsheets.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
Forms
Tables
Low-Quality Scans
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
The cost of a single data mismatch can be enormous. The agent uses AI reasoning and fuzzy matching to ensure that names, addresses, and ID numbers are compared with extreme precision, catching critical errors that the human eye might miss.
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.
The cost of a single data mismatch can be enormous. The agent uses AI reasoning and fuzzy matching to ensure that names, addresses, and ID numbers are compared with extreme precision, catching critical errors that the human eye might miss.
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.
The cost of a single data mismatch can be enormous. The agent uses AI reasoning and fuzzy matching to ensure that names, addresses, and ID numbers are compared with extreme precision, catching critical errors that the human eye might miss.
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.
Create a fully auditable validation record. When the agent flags an inconsistency, it provides a side-by-side view with visual citations, highlighting the exact data points on both source documents that do not match.

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.
Create a fully auditable validation record. When the agent flags an inconsistency, it provides a side-by-side view with visual citations, highlighting the exact data points on both source documents that do not match.

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.
Create a fully auditable validation record. When the agent flags an inconsistency, it provides a side-by-side view with visual citations, highlighting the exact data points on both source documents that do not match.

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.
Document packets for onboarding or loans contain highly sensitive customer PII. V7 Go processes this information in your secure environment, ensuring compliance with data privacy standards like GDPR and CCPA.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Document packets for onboarding or loans contain highly sensitive customer PII. V7 Go processes this information in your secure environment, ensuring compliance with data privacy standards like GDPR and CCPA.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Document packets for onboarding or loans contain highly sensitive customer PII. V7 Go processes this information in your secure environment, ensuring compliance with data privacy standards like GDPR and CCPA.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Next steps
Next steps
Still wasting time checking documents by hand?
Send us a sample of your document packets and your validation rules. We'll show you how our AI agent can automate the entire checklist.
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:
Answers
Answers
What you need to know about our
Document Validation Agent
What kind of documents can this agent validate?
The agent is highly versatile. It's commonly used for logistics documentation (customs packets), financial services (loan applications, new account forms), and legal (onboarding paperwork), but can be configured for any process that requires a complete and consistent set of documents.
+
What kind of documents can this agent validate?
The agent is highly versatile. It's commonly used for logistics documentation (customs packets), financial services (loan applications, new account forms), and legal (onboarding paperwork), but can be configured for any process that requires a complete and consistent set of documents.
+
What kind of documents can this agent validate?
The agent is highly versatile. It's commonly used for logistics documentation (customs packets), financial services (loan applications, new account forms), and legal (onboarding paperwork), but can be configured for any process that requires a complete and consistent set of documents.
+
How do we define the validation rules?
You provide your business rules in a simple format, like a checklist. For example: 'A Gold Tier customer application must contain Form A, Form B, and a utility bill. The name and address must match on all documents.' Our team helps you translate your rules into an automated workflow.
+
How do we define the validation rules?
You provide your business rules in a simple format, like a checklist. For example: 'A Gold Tier customer application must contain Form A, Form B, and a utility bill. The name and address must match on all documents.' Our team helps you translate your rules into an automated workflow.
+
How do we define the validation rules?
You provide your business rules in a simple format, like a checklist. For example: 'A Gold Tier customer application must contain Form A, Form B, and a utility bill. The name and address must match on all documents.' Our team helps you translate your rules into an automated workflow.
+
How does it handle variations in names or addresses?
The agent uses 'fuzzy matching' logic. It can recognize that 'St.' and 'Street' are the same, or that 'Acme Corporation' and 'Acme, Inc.' refer to the same entity, reducing false positives while still catching critical errors.
+
How does it handle variations in names or addresses?
The agent uses 'fuzzy matching' logic. It can recognize that 'St.' and 'Street' are the same, or that 'Acme Corporation' and 'Acme, Inc.' refer to the same entity, reducing false positives while still catching critical errors.
+
How does it handle variations in names or addresses?
The agent uses 'fuzzy matching' logic. It can recognize that 'St.' and 'Street' are the same, or that 'Acme Corporation' and 'Acme, Inc.' refer to the same entity, reducing false positives while still catching critical errors.
+
Can it validate documents against data in our internal systems?
Yes. The agent can be configured to cross-reference data extracted from a document against your system of record, such as checking if a PO number from an invoice exists in your SAP system.
+
Can it validate documents against data in our internal systems?
Yes. The agent can be configured to cross-reference data extracted from a document against your system of record, such as checking if a PO number from an invoice exists in your SAP system.
+
Can it validate documents against data in our internal systems?
Yes. The agent can be configured to cross-reference data extracted from a document against your system of record, such as checking if a PO number from an invoice exists in your SAP system.
+
What happens when it finds an error?
The agent creates a clear exception report that details the problem. The workflow can then be configured to automatically route the problematic file to a specific person or team for correction, and can even draft a notification email.
+
What happens when it finds an error?
The agent creates a clear exception report that details the problem. The workflow can then be configured to automatically route the problematic file to a specific person or team for correction, and can even draft a notification email.
+
What happens when it finds an error?
The agent creates a clear exception report that details the problem. The workflow can then be configured to automatically route the problematic file to a specific person or team for correction, and can even draft a notification email.
+
Is every flagged error auditable?
Yes. When the agent flags an inconsistency between two documents, it provides a visual citation that highlights the conflicting data points on both source documents side-by-side, making the error clear and easy to correct.
+
Is every flagged error auditable?
Yes. When the agent flags an inconsistency between two documents, it provides a visual citation that highlights the conflicting data points on both source documents side-by-side, making the error clear and easy to correct.
+
Is every flagged error auditable?
Yes. When the agent flags an inconsistency between two documents, it provides a visual citation that highlights the conflicting data points on both source documents side-by-side, making the error clear and easy to correct.
+