Configurable Multi-Agent Workflows in Python: A YAML-Driven Orchestration Demo
How to orchestrate secure, flexible agent workflows in Python using LangGraph and YAML—no code changes required for routing updates.
Blogs & Use Cases
Beyond the Bot: The 2026 Agentic Playbook
Architecture, orchestration, GraphRAG, MCP, and safety patterns for production agentic systems.
Agentic AI: Revolutionizing Data Workflows
How autonomous agents replace manual ETL and reporting with real-time, intent-driven workflows.
AI First Series: Building the Data Framework
Four core pillars for AI-ready data architecture: Knowledge Core, semantic mesh, HTAP, and governance fabric.
mytake: How GraphRAG Grounds AI in Your Knowledge Graph
Eliminating hallucinations and enabling multi-hop reasoning using graph-backed retrieval.
Maximizing ROI: Intelligent LLM Routing
Route queries to the right model tier to balance performance, governance, and cost.
From Prototype to Production: Operationalizing AI Agents
Platform-agnostic blueprint for taking agents from demo to reliable production services.
Multi-Agent Systems: The Architecture of Partnership
Build resilient digital workforces using the 6-layer architecture: from sensing to execution, with human control at the center.
Beyond the Hype: Why AI TRiSM is the Secret to Scaling Enterprise AI
Shadow AI, prompt injection, and data leaks are bigger threats than hallucination. AI TRiSM is the operational framework to govern AI before regulators force your hand.