AI agents are moving from pilots to production, reshaping how businesses automate decisions, respond to change, and deliver impact at scale. This eBook breaks down how agentic AI works, where it's already delivering value, and what leaders need to know to act on this shift now.
Agentic AI refers to intelligent systems powered by AI, machine learning, and large language models (LLMs) that can autonomously interpret goals, reason through complex inputs, plan actions, and execute tasks. These systems often leverage Generative AI to produce content or decisions in real time, and integrate with external tools and APIs to act independently.
Unlike traditional automation, agentic systems are adaptive, context-aware, and capable of learning from experience, making them ideal for solving dynamic business problems.
What it is, why it matters, and how it differs from traditional automation
Reasoning, planning, autonomous action, memory, and adaptation
How AI agents are impacting sales, support, research, and operations
How coordinated agents solve problems collaboratively
How agents remember, personalize, and respond over time
What to consider when deploying agents in production
How to evaluate readiness and get started with agentic pilots