GenAI vs Agentic AI vs Forward Deployed AI Engineering
Understanding the overlaps between creation, orchestration, and implementation.
In the modern AI stack, Generative AI refers to content creation, Agentic AI refers to workflow orchestration, and Forward Deployed AI Engineering (FDE) refers to the end-to-end implementation and adoption of these systems within a business.
| Feature | GenAI | Agentic AI | Forward Deployed AI Engineering |
|---|---|---|---|
| Primary Purpose | Content Creation & Retrieval | Workflow Orchestration | Enterprise Implementation |
| Typical System Behaviour | Single response to a prompt | Autonomous tool-use & reasoning | End-to-end business integration |
| Core Technologies | LLMs, Prompting, basic RAG | LangGraph, Agent Flows, Tools | Full Stack AI, Security, DevOps |
| Business Interaction | User-initiated interaction | Process automation | Discovery & Stakeholder mgmt |
| Deployment Ownership | Low (Model level) | Medium (System level) | High (Production & Adoption) |
| Typical Output | Text, Code, Summaries | Actioned workflows | Adopted Enterprise Systems |
| Example Roles | AI Writer, Junior Developer | AI Engineer, Automation Dev | Forward Deployed Engineer |
How is Agentic AI different from Generative AI?
Generative AI is primarily a "content creator"—it produces text, code, or images based on a prompt. Agentic AI is an "orchestrator"—it uses generative capabilities to reason, but then goes further by using tools and executing steps to achieve a specific operational goal without needing a human to prompt each individual action.
Which one do you need?
These areas frequently overlap. Generative AI provides the "brain," Agentic AI provides the "nervous system" (orchestration), and FDE provides the "context" (deployment and business value ownership).