Tag: A2A

• What Is Agentic AI Architecture? The Six Layers That Actually Decide Outcomes

  

  Agentic AI architecture is the design of the system around the model: the layers that decide what an agent is asked to do, what it may reach, what it is forbidden to do, how far it may act without a person, and how any of that is proved afterwards. The model is a component in…

  Dr. Harish Kotadia, Ph.D.

  August 31, 2026

  Agentic AI Governance

  A2A, agentic ai, architecture, enforcement, governance, harness, MCP, roadmap

• What Is Agentic AI Technology? A Practitioner’s Field Map of the Enterprise Stack

  

  “Agentic AI technology is the software stack that lets an enterprise hand a system an outcome to achieve rather than a script to execute”  © Dr. Harish Kotadia, 2026 — the model, memory, tools, identity, guardrails, and observability that turn a goal into governed, auditable action. Instructions in, results out — that was IT. Intent…

  Dr. Harish Kotadia, Ph.D.

  July 19, 2026

  Agentic AI Technology, Anthropic

  A2A, Agent2Agent, agentic AI architecture, Agentic AI Roadmap, agentic AI skills, agentic AI stack, agentic AI technology, AI agent frameworks, AI agent governance, AWS Bedrock AgentCore, Claude Code, coding agents, enterprise AI agents, LangGraph, MCP, midsummer special edition, Model Context Protocol, RAG, Salesforce Agentforce