From document chaos to AI-powered knowledge at scale

A large industrial engineering and steel production company managed thousands of requirements papers, specifications, purchasing and sales documents across departments. Knowledge was siloed, hard to find, and walked out the door every time an experienced employee left. Manual document comparison took hours, and generating new documents from scratch meant re-reading dozens of existing ones.

We designed and implemented a multi-layer Enterprise AI system built on document data vectorization and Large Language Models. The architecture includes a comprehensive data access and governance layer that ensures the right people see the right information. The knowledge bot can compare documents, surface relevant context from across the organization, and generate new document drafts from stakeholder keywords — all while respecting access controls and compliance requirements.

Managers and engineers now compare documents 75% faster, generate new specifications from keywords instead of starting from scratch, and keep institutional knowledge accessible even as teams change. The system has become the de facto knowledge oracle for the engineering staff, handling hundreds of queries per day.