Success Story

Unified data for knowledge retrieval for a global manufacturer client

Faced with fragmented data and inefficient access to critical documents, the client implemented an AI-powered knowledge retrieval solution. This enabled faster, more accurate information access across departments and improved decision-making efficiency.

  • Saved per week from every team member after eliminating manual search across tools

    3 hours

  • Increase in search result relevancy

    65%

About the client

The client is a global manufacturer with operations across multiple sectors, including technology and financial services. The AI-driven knowledge solution supported greater cross-functional alignment and streamlined internal workflows.

Challenges

An overload of documents with minimal contextual linkage, combined with fragmented data across teams and departments, makes it challenging to access up-to-date insights quickly, hindering informed decision-making.

Solutions

Connected multi-source data ingestion using ETL pipelines for unified access

Vector-based document indexing leveraging proprietary models for accurate contextual search

On-prem RAG-based AI models to provide secure and relevant retrieval

AI-driven insights offering traceable summaries with strict access controls

Automated search intent classification to streamline user inquiries

Results

The AI platform enhanced productivity and knowledge transparency by delivering contextual answers with traceability and role-based access. Manual search efforts were reduced, enabling faster innovation and improved collaboration across product and engineering teams.

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