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This term fits / Work & workflowsAI & Workforce

Agentic AI

Definition

Artificial intelligence systems that can autonomously plan, reason, and execute multi-step tasks with minimal human intervention. Unlike traditional AI that responds to single prompts, agentic AI operates with goal-directed behavior, making decisions, using tools, and adapting its approach based on results. In workforce contexts, agentic AI transforms how organizations structure roles by automating complex workflows that previously required human judgment, necessitating organizational redesign and new skill development strategies.

Where it fits in the SDI system

Make tasks, workflows, handoffs, exceptions, and accountable judgment visible before deciding what AI, process change, or better support should carry.

SDI practitioner lens

From definition to decision

Agentic AI changes the operating model because software can carry a bounded sequence of work rather than only assist with one output. The consequential design questions concern authority, context, handoffs, monitoring, exceptions, and accountable human ownership.

01 / Decision it should inform

Use an agentic pattern when a repeatable workflow can be expressed with clear goals, permissions, evidence, stop conditions, and escalation paths that justify autonomous execution.

02 / What to watch for

Calling a chatbot, prompt chain, or unattended automation an agent obscures the real level of authority and prevents leaders from comparing value and risk consistently.

Turn the term into a decision

What would “Agentic AI” change in your organization?

Clara can translate the definition into ownership, evidence, and the next question worth asking without treating the term as a solution.