Glossary
Agentic AI
AI systems that autonomously execute multi-step tasks to reach a goal.
Definition
Agentic AI describes AI systems that can plan, choose tools, take actions, and verify outcomes across multiple steps to complete a goal — rather than just generating a single response to a single prompt. Modern agentic systems combine large language models with tool use, memory, and feedback loops.
Context
Agentic AI is the practical successor to copilots. Copilots assist a human doing the work; agents do the work and surface a result the human signs off on. In enterprise and operating settings, agentic AI handles customer service, document operations, provisioning, and decision-support workflows that are too long-running or branching for a single-shot prompt.
Related terms
Autonomy SpectrumThe range from human-in-the-loop assistance to fully autonomous AI action.Read Machine LearningSystems that learn patterns from data to make predictions or decisions.Read Predictive AnalyticsUsing data and models to forecast future outcomes and inform decisions.Read AI GovernancePolicies, controls, and accountability for AI inside an organization.Read