Science and Technology
Agentic AI refers to autonomous, goal-oriented artificial intelligence systems that can plan, decide, and act independently with minimal human supervision. Unlike traditional AI that responds only to prompts, agentic AI proactively pursues objectives and adapts to changing environments.
These systems are built around AI agents, often powered by large language models (LLMs), which can reason, decompose tasks, and execute actions such as searching, scheduling, or interacting with digital tools.
In multi-agent architectures, multiple specialised agents handle different subtasks—such as planning, execution, and verification—coordinated through AI orchestration frameworks, enabling complex problem-solving at scale.
APSC Relevance: Emerging technologies, AI governance, automation impacts, digital transformation.
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