Strategy and Solutions

Zymr built a semantic AI-driven knowledge platform with RAG-based retrieval using Pinecone and OpenAI embeddings. GPT-powered assistants were deployed for document Q&A, use case discovery, and project support, integrated into Teams and Slack. LLMs tagged content upon upload and flagged outdated files, while summarization pipelines extracted insights from documents. Azure AD was integrated for RBAC and automated DLP checks ensured policy compliance. The platform adhered to GDPR and ISO 27001 standards.

About the Client

A top-tier global professional services firm with over 100,000 consultants worldwide. The client sought to revolutionize internal knowledge sharing and reuse by eliminating silos, reducing content curation effort, and introducing intelligent access.

Key Outcomes

Reduced new consultant onboarding time by 50%.

Flagged 20K+ outdated documents in the first quarter.

Business Challenges

Knowledge assets were scattered across multiple portals, and search tools based on keywords delivered low relevance. Content curation was manual, inconsistent, and time-consuming. Access controls varied by region, increasing data leakage risk. The absence of intelligence led to repeated work and hindered onboarding.

Business Impacts / Key Results Achieved

Document retrieval became 4x faster, improving consultant productivity. Knowledge reuse rose by 30%, and GPT agents saw adoption in 80% of active teams. Data governance was strengthened with secure, context-aware access controls.