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Leading Organizations Into the Age of Agentic AI
What Is Agentic AI—and Why It Signals a New Era of Enterprise Intelligence
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Artificial intelligence is evolving beyond tools that respond to prompts or automate isolated tasks. A new class of systems—known as agentic AI—is redefining how work is designed, executed, and scaled across the enterprise.
Agentic AI refers to autonomous systems capable of sensing their environment, reasoning through problems, and acting independently to achieve defined objectives. Unlike traditional AI models that require constant human direction, agentic systems are designed to plan, adapt, and execute with minimal intervention.
At the heart of this shift is the integration of large language models (LLMs) with external tools, data sources, and operational environments. This allows AI agents to operate across systems—selecting actions, evaluating outcomes, and adjusting behavior dynamically in pursuit of a goal.
Rather than functioning as a single feature or workflow, an AI agent can coordinate multiple steps across departments, tools, and data sets. This capability moves AI from a support function into an active operational participant.
As organizations face increasing complexity, talent constraints, and pressure to move faster with fewer resources, agentic AI represents a foundational change—not just in technology, but in how enterprises think about execution itself.
This is not automation as we’ve known it. It is the early architecture of a new enterprise operating model.
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