Democratizing institutional knowledge: Building an AI-powered knowledge management system with AWS

This article presents a cloud-based knowledge management system that preserves institutional knowledge through an AI-powered avatar interface, deployable in hours using AWS services.

• Voice-first avatar-driven delivery enables hands-free knowledge access for non-technical workers without learning curve
• Amazon Bedrock Knowledge Bases handles document ingestion, chunking, and retrieval from S3-stored institutional knowledge
• Smart DynamoDB caching reduces inference costs by 50-70% for repeated queries through intelligent TTL settings
• Serverless architecture scales from 50-100 concurrent users to 5,000+ with service quota increases
• CloudFormation deployment completes in hours with automatic document sync and no manual metadata tagging required
• Supports multiple document formats (Word, PDF, Markdown, JSON) with optional AWS Glue ETL transformation
• Grounded responses cite source documents to reduce hallucinations and support verification

Organizations across manufacturing, healthcare, finance, and government can rapidly deploy this solution to capture retiring experts' knowledge and democratize access to institutional procedures and policies.