What Is Agentic AI? Definition, Examples, and How It Works (2026)
Master the basics of agentic AI, explore use cases, and learn from existing field tests in one place.
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Agentic AI is a type of artificial intelligence that pursues a goal across multiple steps with minimal human intervention. An agentic AI system perceives context, reasons through a plan, uses external tools, takes action, and then checks its own work and adjusts before completing the task.
That loop of perceiving, planning, acting, and checking is what separates agentic AI from tools that generate a response and stop. This guide covers how agentic systems work, the five characteristics that make an AI system agentic, how the category differs from generative AI and RPA, and what production deployments look like at regulated financial institutions.
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Multi-Agent Systems & Orchestration
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What Are Multi-Agent Systems in AI?
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Use Cases & Market Leaders
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AI Agents & AI Agent Platforms
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Why AgentFlow Is the Best Agentic AI Platform for Finance
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Introducing Conversational AI
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Additional Insights
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