Each IT management framework has its distinct definitions, glossaries, and fanbase. And guess what? These often don't align or match with each other. Initially people differentiated between software and hardware. With the advent of massive Outsourcing, Cloud Services, and APIs, people began to distinguish between applications and infrastructure that could both be offered/consumed "as a Service". This was working well until the emergence of Software-Defined-Networks, Microservice Architecture, Generative AI, and now Agentic AI. The only thing that these things nowadays have in common is [...]

Employees of an Enterprise typically consume Enterprise-wide capabilities that Fulfillers and AI Agents enable. The FullFillers and AI-Agents are platform-agnostic and consume data from Systems of Record (SoR), and interact with Systems of Engagement (SoE).Agentic AI itself does not employ a hard-coded process flow; instead, it reasons and determines its next steps/actions based on real-time triggers, responses, data, and events. This makes Agentic AI for the Enterprise less predictable but more flexible and capable than its predecessors (machine learning and hard-coded workflows). That said, [...]