Agentic AI refers to AI systems that pursue a goal over several steps: a language model plans, calls tools or APIs, observes the results and decides what to do next, within guardrails set by people. It moves AI from answering questions to completing tasks.
Production agents need the same engineering as any critical software — scoped permissions, evaluation, logging, cost limits and human approval for consequential actions. Frameworks such as LangGraph, AutoGen and CrewAI help orchestrate them.
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AI & GenAIGenerative AI, RAG and agentic systems engineered for enterprise reliability, security and control.
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