Resilient, adaptable automation
AI Semi-Structured Document Agent
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.

Ideal for
Finance Teams
Operations
Data Teams
Time comparison
Traditional way
Constant manual work
With V7 Go agents
Fully automated
Average time saved
95%
Why V7 Go
Reads and understands any document layout
To extract the data you need, consistently and accurately.
Import your files
SAP
,
SharePoint
,
NetSuite
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Connect AI to your document chaos.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Answers
What you need to know about our
AI Semi-Structured Document Agent
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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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.
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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.
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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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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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Next steps
What's your most inconsistent, painful document to process?
Send us a batch of your most variable documents—invoices, reports, forms. We'll show you how a single, intelligent V7 Go agent can process all of them, no templates required.













