Agentic AI
Agentic AI is the broader design paradigm in which AI systems pursue goals, use tools, coordinate actions, and operate with varying autonomy. It may be implemented through one AI agent or through multiple agents and services. Its autonomy is bounded by technical, organizational, legal, and policy constraints that institutions must deliberately define and govern.
An AI agent is an individual system or software actor that performs tasks. Agentic AI describes the wider paradigm rather than a single actor. The entries are related but not interchangeable: one names the actor; the other names the way AI capabilities are designed and organized to pursue goals across workflows. Increasing operational autonomy changes the location, timing, and visibility of decisions.
Agentic AI could support monitoring, research, translation, workflow coordination, consular triage, knowledge retrieval, and administrative tasks. It can also create new risks when an agent accesses sensitive data, communicates externally, invokes tools, changes records, or takes consequential action without appropriate authorization. Foreign-affairs institutions therefore need explicit permissions, escalation points, identity controls, logs, intervention mechanisms, and accountable human ownership.
Agentic AI appears in multi-step research assistants, automated workflow orchestration, tool-using AI systems, multi-agent environments, case triage, document processing, monitoring and alerting, scheduling, knowledge management, and systems that can initiate actions rather than only generate text in response to a prompt.
Closely related entries kept separate because each carries a distinct institutional meaning.
- AI Agents
AI agents are AI systems designed to pursue goals, complete tasks, interact with digital tools, make decisions within defined limits, and operate with varying degrees of autonomy. In foreign affairs, AI agents may assist with research, monitoring, workflow support, drafting, translation, triage, or internal coordination.
- Human-in-the-Loop
Human-in-the-loop is a workflow design in which a designated person must review, approve, correct, classify, or otherwise intervene before an AI-supported output or action can progress. It is narrower than human oversight, which covers the broader ability to understand, govern, monitor, question, intervene in, or stop an AI system.
- Retained Authority
Retained authority is Diplomats.Digital's institutional test for whether an organization that uses AI or digital systems remains able to define objectives, set boundaries, authenticate actors, approve consequential action, verify outputs, intervene or override, trace decisions, maintain continuity, and exit dependencies. Authority is retained only when these powers remain operationally executable, not merely stated in policy or contract.
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