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
Increase in search result relevancy
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.
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.
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
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.