Relevance, Relatedness and a Document Fabric
- mcipriano33
- May 22
- 2 min read
Updated: May 27
When working with AI tools, it's immediately apparent that answers are generated from a variety of sources, that often include referenced documents. The quality of these answers’ hinges on the relevance and relatedness of the supporting information. We place value in the response because we believe it was derived from sources closely aligned with the question.
That’s why the way information sources are identified, validated, and associated with one another has a direct impact on the usefulness of the output. Documents that go through a structured process of validation and association hold significantly more value than those simply stored in unmanaged folders. This foundational concept is what defines a Document Fabric, a connected, intelligent framework that enables better answers.
As the term suggests, a Document Fabric weaves together documents and related business data. This includes essential entities such as customers, assets, vendors, and more typically managed within ERP systems and core business applications. To create high-value content that supports critical decision-making, every new document must be accurately "stitched" to this foundational data.
This requires more than just a filing system. Your document management strategy must include processes for validated identification and association to core business data. Ideally, these processes are supported by workflow automation and smart integrations across your application landscape. Since documents can originate from many sources, it's crucial that each one has a path to a final, authoritative destination within the Document Fabric.
The result is a centralized archive of approved, final versions or what we often call the Record Copy. These validated documents become trusted sources for decision-making, whether accessed by humans or AI tools. Two documents may appear similar in language or structure, but without proper context and association, they can lead to very different interpretations.
Large AI firms have invested billions in refining their models, often relying on humans to correct errors in automated data identification. This highlights a crucial truth: your AI-driven solutions are only as good as the data they rely on. Building a robust Document Fabric ensures that your critical documents are not only accessible but meaningfully connected, laying the groundwork for smarter, more reliable decisions.
Your business decisions deserve answers grounded in context, accuracy, and trust. A well-structured Document Fabric makes that possible.
imkore Millennia has been providing workflow and critical document archive solutions since 1996. Contact us for more information.
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