The Confidence Calibration Problem in Generative AI Document Processing
Imagine trying to have a meaningful conversation about a library’s worth of technical documentation.
This is the reality many organizations face when implementing AI-powered document chat solutions.
Our initial approach at AgileDD addresses this challenge through intelligent metadata extraction.
By automatically capturing and indexing key information from documents, we enable more precise retrieval before a single question is asked.
But what if we could go further?
What if we could transform the document text itself to make it more digestible for AI systems?
