Agentic AI

Agentic AI is the shift from tools that respond to prompts toward systems that pursue goals—planning, taking actions across multiple steps, and adjusting along the way with limited human oversight. For marketers, that means software that doesn't just draft an email but runs the campaign: segmenting the audience, scheduling sends, reading the results, and deciding what to do next. The resources below start with the fundamentals, move into how these systems are actually built, and close with real enterprise use cases so you can separate the genuine capability from the hype.

​

Understanding Agentic AI

IBM — What Is Agentic AI? A clear, vendor-neutral primer on what makes an AI system "agentic" versus a standard chatbot. A good first read if the term still feels fuzzy.
https://www.ibm.com/think/topics/agentic-ai

Google Cloud — What Is Agentic AI? Covers the same ground with more emphasis on the architecture underneath—how agents perceive, reason, and act. Useful as a second perspective alongside IBM's. https://cloud.google.com/discover/what-is-agentic-ai

Harvard Business Review — What Is Agentic AI and How Will It Change Work? The strategic, leadership-level view: what agentic systems mean for how teams are structured and how work gets divided between people and machines. Best for framing the conversation with executives.
https://hbr.org/2024/12/what-is-agentic-ai-and-how-will-it-change-work

Gartner via NICE — AI Agents Research Analyst-grade context on where agentic AI sits in the market and what's realistic in the near term. Helpful for cutting through vendor marketing.
https://www.nice.com/lps/rpcs-gartner-ai-agents

​

How to Build Agents

Microsoft Learn — AI Agents for Beginners A free, structured course that walks through building agents step by step. Hands-on without assuming a deep engineering background—a solid starting point for marketers who want to actually try this.
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/

Google Cloud — Building AI Agents A more technical guide to the design patterns and infrastructure behind production agents. Pair it with the Microsoft course once you're ready to go deeper. https://cloud.google.com/resources/content/building-ai-agents

Use Cases and Case Studies

Deloitte — Agentic AI Enterprise Adoption Guide (PDF) A practical look at how organizations are rolling out agentic systems, including the governance and change-management hurdles. Grounded in real adoption rather than theory.
ttps://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2025/agentic-ai-enterprise-adoption-guide.pdf

Microsoft Azure — Agent Factory: Common Use Cases and Design Patterns A catalog of recurring agent patterns with concrete examples. The most useful resource here for sparking ideas about where an agent could fit in your own workflows.
https://azure.microsoft.com/en-us/blog/agent-factory-the-new-era-of-agentic-ai-common-use-cases-and-design-patterns/

​