The Unified Agentic Stack: A Complete Blueprint for Production AI
Six blogs, one architecture. A layer-by-layer blueprint for production agentic AI — from intelligent routing and GraphRAG knowledge cores to governed orchestration and AgentOps.
Blogs & Use Cases
Beyond GraphRAG 2.0: The Context Infrastructure Mandate
GraphRAG gave agents the Map. The Context Infrastructure Mandate gives them the Pilot—persistent decision traces, the Guardian Agent, and the SAO Context Graph that makes every autonomous action auditable.
The Negotiator: Why Data Governance Must Stop Saying "No"
How Agentic Governance replaces binary 403 blocks with a Stealth Remediation Loop—finding a compliant path to Yes so agents never stall.
Configurable Multi-Agent Workflows: A YAML-Driven Orchestration
How to orchestrate secure, flexible agent workflows in Python using LangGraph and YAML—no code changes required for routing updates.
Beyond the Bot: The 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 Knowledge Graph
Eliminating hallucinations and enabling multi-hop reasoning using graph-backed retrieval.
Why SLMs Are the Agent Runtime of Choice
Fine-tuned small models outperform frontier LLMs on tool-call reliability, schema adherence, and multi-step agent execution — not as a substitute, but as a better fit.
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.
The Semantic Sidecar Pattern: Decoupled Grounding for AI Agents
How the Semantic Sidecar enables robust, compliant, and agile AI systems by decoupling the semantic layer from the core application.