Agentic AI
AI that plans, acts, and adapts across multi-step tasks instead of returning a single response.
What is Agentic AI?
An agentic AI system goes beyond one-shot generation. It decomposes a goal into steps, selects tools, calls APIs or retrieval, observes results, and adapts the next action. In an enterprise context, this only becomes safe when paired with an orchestrator, policy enforcement, and execution traces. See AI Agent Orchestration for the runtime view.
Why it matters for on-premise & regulated AI
Agentic AI multiplies the number of decisions software makes without a human in the loop — which is exactly what regulators scrutinise. Running agentic systems on-premises keeps every plan, tool call, and intermediate result inside your security boundary, so audit evidence can be produced without depending on a cloud vendor’s logs. For banks, insurers, and public-sector teams, agentic AI is usually approved only when the execution trace is fully owned.
Read the full guide: Agentic AI — in-depth article →
Related terms
Putting Agentic AI to work?
VDF AI runs governed AI agents on your own infrastructure — on-premises, sovereign cloud, or air-gapped. Book a working session to map the architecture.
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