HCLTech presents a new whitepaper addressing a critical challenge in enterprise AI: Building document intelligence systems that perform reliably despite imperfect and fragmented data environments. While AI models continue to advance, enterprise repositories—marked by inconsistent metadata, version drift, siloed systems and heterogeneous formats—often limit their effectiveness.

This whitepaper outlines a practical framework for Enterprise Document Intelligence, emphasizing disciplined architecture across ingestion, metadata enrichment, structure-aware chunking, hybrid retrieval and grounded generation.

By shifting the focus from models to data and retrieval design, it provides a clear roadmap to transform complex document ecosystems into reliable, governed and intelligence-ready systems—enabling trustworthy AI at scale.