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IBZA

Applied AI

Enterprise AI Knowledge Assistant

A Retrieval-Augmented Generation platform that reduced information retrieval time by 80%.

80% less search time

Enterprise AI Knowledge Assistant - AI and Data Systems

Representative outcome pattern. Replace with approved client evidence before publication.

Challenge

Employees spent significant time searching across fragmented internal documentation, slowing decision-making and context gathering.

Solution

Built a Retrieval-Augmented Generation (RAG) platform using Azure OpenAI with permission-aware retrieval, source citations, safety guardrails, and human escalation paths for sensitive queries.

Architecture

The system combined content synchronization, access filtering, hybrid retrieval with reranking, citation generation, evaluation metrics, and comprehensive telemetry for continuous improvement.

Result

Reduced information retrieval time by 80%, with visible source evidence and measurable quality metrics across all knowledge queries.

Technology

Azure OpenAI LLMs, PostgreSQL, vector retrieval, identity integration, and OpenTelemetry.