Digital Transformation Insights
Expert perspectives on legacy modernization, AI transformation, and enterprise engineering best practices.
How we implemented a comprehensive memory system that gives both AI agents and our Orchestrator persistent memory across conversations, featuring a 4-tier hybrid architecture with semantic search, automatic episode creation, and intelligent context injection.
How we reduced token usage by 85% while maintaining intelligent tool selection across hundreds of MCP servers, agents, and integrations using a hybrid BM25 + semantic search approach.
How we eliminated all hardcoded AI models and built a fully database-driven model selection system with strict tenant isolation, dynamic provider routing, and zero configuration drift. A deep dive into production-ready AI infrastructure.
A technical exploration of how Fabric AI combines advanced document extraction, semantic chunking, vector embeddings, and intelligent retrieval to transform unstructured enterprise data into actionable knowledge for AI agents.
Discover how Fabric AI revolutionizes software development by compressing the entire SDLC through intelligent document processing, RAG-powered AI agents, and durable workflow automation—helping enterprises unlock the value hidden in their data.
The story of building a production-grade AI orchestrator powered by Temporal that coordinates multiple agents, learns from experience, and doesn't fall apart when things go wrong. With 99.7% completion rates and real customer results.