AI Semi-Structured Document Agent
The end of template-based automation
The end of template-based automation
Delegate the processing of your most inconsistent documents to a specialized AI agent. It uses contextual understanding to read and extract data from semi-structured documents like invoices, statements, and reports, adapting to layout changes without needing to be retrained.
Why V7 Go
Why V7 Go
No Templates Required
Uses AI to understand documents based on context, not fixed coordinates or templates. It finds data like 'Invoice Number' no matter where it appears on the page.
No Templates Required
Uses AI to understand documents based on context, not fixed coordinates or templates. It finds data like 'Invoice Number' no matter where it appears on the page.
No Templates Required
Uses AI to understand documents based on context, not fixed coordinates or templates. It finds data like 'Invoice Number' no matter where it appears on the page.
Handles High Variability
Perfect for processing documents from thousands of different sources—like invoices from every vendor in your supply chain—with a single, intelligent workflow.
Handles High Variability
Perfect for processing documents from thousands of different sources—like invoices from every vendor in your supply chain—with a single, intelligent workflow.
Handles High Variability
Perfect for processing documents from thousands of different sources—like invoices from every vendor in your supply chain—with a single, intelligent workflow.
Adapts to Changing Formats
Build resilient automation. When a vendor changes their invoice layout or a bank alters its statement format, the agent can adapt without needing to be manually retrained or reconfigured.
Adapts to Changing Formats
Build resilient automation. When a vendor changes their invoice layout or a bank alters its statement format, the agent can adapt without needing to be manually retrained or reconfigured.
Adapts to Changing Formats
Build resilient automation. When a vendor changes their invoice layout or a bank alters its statement format, the agent can adapt without needing to be manually retrained or reconfigured.
Data Normalization & Standardization
Takes the chaotic, inconsistent data extracted from your varied documents and transforms it into a single, clean, and standardized format for your downstream systems.
Data Normalization & Standardization
Takes the chaotic, inconsistent data extracted from your varied documents and transforms it into a single, clean, and standardized format for your downstream systems.
Data Normalization & Standardization
Takes the chaotic, inconsistent data extracted from your varied documents and transforms it into a single, clean, and standardized format for your downstream systems.
Human-in-the-Loop for Exceptions
For any documents where the agent has low confidence, it automatically flags them for a quick human review, ensuring you get the benefits of automation with the backstop of expert oversight.
Human-in-the-Loop for Exceptions
For any documents where the agent has low confidence, it automatically flags them for a quick human review, ensuring you get the benefits of automation with the backstop of expert oversight.
Human-in-the-Loop for Exceptions
For any documents where the agent has low confidence, it automatically flags them for a quick human review, ensuring you get the benefits of automation with the backstop of expert oversight.
Cited for 100% Accuracy
You can trust the data. Every extracted field is supported by a visual citation that highlights the exact source on the original document, making quality control fast and effortless.
Cited for 100% Accuracy
You can trust the data. Every extracted field is supported by a visual citation that highlights the exact source on the original document, making quality control fast and effortless.
Cited for 100% Accuracy
You can trust the data. Every extracted field is supported by a visual citation that highlights the exact source on the original document, making quality control fast and effortless.
Why V7 Go
Reads and understands any document layout
To extract the data you need, consistently and accurately.
Workflow
Workflow
Import your files
SAP
,
SharePoint
,
NetSuite
Time comparison
Time comparison
Time comparison
Time comparison
Traditional way
Constant manual work
Constant manual work
With V7 Go agents
Fully automated
Fully automated
Average time saved
95%
95%
V7 Go
V7 Go
V7 Go
V7 Go
Intelligent automation for an inconsistent world.
Stop building brittle bots. Start building resilience.
Your business runs on documents like invoices, reports, and statements, but no two are ever the same. This variability breaks traditional automation. Your team is drowning in the manual work of finding and extracting data from semi-structured documents whose layouts change constantly. Simple template-based tools fail the moment a vendor changes their invoice format. You chose your career to have impact, not to play a constant game of matching shifting data fields. It's time to delegate this frustrating work to an AI that can handle the chaos.
Finance & Accounting Teams
Build a single, intelligent workflow to process invoices and statements from all your vendors and banks, regardless of their format. Stop maintaining hundreds of separate templates.
Finance & Accounting Teams
Build a single, intelligent workflow to process invoices and statements from all your vendors and banks, regardless of their format. Stop maintaining hundreds of separate templates.
Finance & Accounting Teams
Build a single, intelligent workflow to process invoices and statements from all your vendors and banks, regardless of their format. Stop maintaining hundreds of separate templates.
Finance & Accounting Teams
Build a single, intelligent workflow to process invoices and statements from all your vendors and banks, regardless of their format. Stop maintaining hundreds of separate templates.
Operations & Data Teams
Create robust data pipelines that don't break every time a source report changes its layout. Ingest data reliably from a world of inconsistent, semi-structured documents.
Operations & Data Teams
Create robust data pipelines that don't break every time a source report changes its layout. Ingest data reliably from a world of inconsistent, semi-structured documents.
Operations & Data Teams
Create robust data pipelines that don't break every time a source report changes its layout. Ingest data reliably from a world of inconsistent, semi-structured documents.
Operations & Data Teams
Create robust data pipelines that don't break every time a source report changes its layout. Ingest data reliably from a world of inconsistent, semi-structured documents.
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Welcome Go
Welcome Go
Welcome Go
Welcome Go
The end of template-based automation
The end of template-based automation
The end of template-based automation
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:
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:
FAQ
FAQ
FAQ
FAQ
Have questions?
Find answers.
How does it work without templates? What is it looking for?
It works like a human. You tell it what to look for (e.g., 'the net total,' 'the policy effective date'). The agent then uses its contextual understanding of language and document structure to find that piece of information, regardless of its position.
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How does it work without templates? What is it looking for?
It works like a human. You tell it what to look for (e.g., 'the net total,' 'the policy effective date'). The agent then uses its contextual understanding of language and document structure to find that piece of information, regardless of its position.
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How does it work without templates? What is it looking for?
It works like a human. You tell it what to look for (e.g., 'the net total,' 'the policy effective date'). The agent then uses its contextual understanding of language and document structure to find that piece of information, regardless of its position.
+
How does it work without templates? What is it looking for?
It works like a human. You tell it what to look for (e.g., 'the net total,' 'the policy effective date'). The agent then uses its contextual understanding of language and document structure to find that piece of information, regardless of its position.
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What kind of semi-structured documents is this best for?
It excels at any document type where the overall goal is the same but the format varies by source. Prime examples include vendor invoices, bank statements, bills of lading, and quarterly reports from different fund managers.
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What kind of semi-structured documents is this best for?
It excels at any document type where the overall goal is the same but the format varies by source. Prime examples include vendor invoices, bank statements, bills of lading, and quarterly reports from different fund managers.
+
What kind of semi-structured documents is this best for?
It excels at any document type where the overall goal is the same but the format varies by source. Prime examples include vendor invoices, bank statements, bills of lading, and quarterly reports from different fund managers.
+
What kind of semi-structured documents is this best for?
It excels at any document type where the overall goal is the same but the format varies by source. Prime examples include vendor invoices, bank statements, bills of lading, and quarterly reports from different fund managers.
+
How is this different from traditional Intelligent Document Processing (IDP)?
Traditional IDP still relies heavily on creating and maintaining templates for each document variation. V7 Go's approach uses more advanced, generative AI models that reduce or eliminate the need for templates, making the system more flexible and easier to maintain.
+
How is this different from traditional Intelligent Document Processing (IDP)?
Traditional IDP still relies heavily on creating and maintaining templates for each document variation. V7 Go's approach uses more advanced, generative AI models that reduce or eliminate the need for templates, making the system more flexible and easier to maintain.
+
How is this different from traditional Intelligent Document Processing (IDP)?
Traditional IDP still relies heavily on creating and maintaining templates for each document variation. V7 Go's approach uses more advanced, generative AI models that reduce or eliminate the need for templates, making the system more flexible and easier to maintain.
+
How is this different from traditional Intelligent Document Processing (IDP)?
Traditional IDP still relies heavily on creating and maintaining templates for each document variation. V7 Go's approach uses more advanced, generative AI models that reduce or eliminate the need for templates, making the system more flexible and easier to maintain.
+
Does it get smarter over time?
Yes. The underlying AI models are constantly improving. Furthermore, through the human-in-the-loop review process, any corrections your team makes can be used to refine the agent's logic for future documents from that same source.
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Does it get smarter over time?
Yes. The underlying AI models are constantly improving. Furthermore, through the human-in-the-loop review process, any corrections your team makes can be used to refine the agent's logic for future documents from that same source.
+
Does it get smarter over time?
Yes. The underlying AI models are constantly improving. Furthermore, through the human-in-the-loop review process, any corrections your team makes can be used to refine the agent's logic for future documents from that same source.
+
Does it get smarter over time?
Yes. The underlying AI models are constantly improving. Furthermore, through the human-in-the-loop review process, any corrections your team makes can be used to refine the agent's logic for future documents from that same source.
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What's the output of this agent?
The output is clean, structured data, typically in a JSON or CSV format. This data is perfectly standardized and ready for ingestion into your ERP, database, or other system of record.
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What's the output of this agent?
The output is clean, structured data, typically in a JSON or CSV format. This data is perfectly standardized and ready for ingestion into your ERP, database, or other system of record.
+
What's the output of this agent?
The output is clean, structured data, typically in a JSON or CSV format. This data is perfectly standardized and ready for ingestion into your ERP, database, or other system of record.
+
What's the output of this agent?
The output is clean, structured data, typically in a JSON or CSV format. This data is perfectly standardized and ready for ingestion into your ERP, database, or other system of record.
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Can it handle a mix of document types in the same batch?
Yes. It can be chained with a classification agent. The first agent identifies what each document is (e.g., 'invoice' vs. 'purchase order'), and then this agent applies the correct data extraction logic for that document type.
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Can it handle a mix of document types in the same batch?
Yes. It can be chained with a classification agent. The first agent identifies what each document is (e.g., 'invoice' vs. 'purchase order'), and then this agent applies the correct data extraction logic for that document type.
+
Can it handle a mix of document types in the same batch?
Yes. It can be chained with a classification agent. The first agent identifies what each document is (e.g., 'invoice' vs. 'purchase order'), and then this agent applies the correct data extraction logic for that document type.
+
Can it handle a mix of document types in the same batch?
Yes. It can be chained with a classification agent. The first agent identifies what each document is (e.g., 'invoice' vs. 'purchase order'), and then this agent applies the correct data extraction logic for that document type.
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