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Agentic AI, explained

What makes an AI agent “agentic”? A finance leader’s glossary

A quick-reference glossary of agentic AI terms for finance leaders evaluating AI agents in accounts payable.

The glossary

Ten terms that come up in every agentic AI evaluation — defined the way we actually use them. Where a term has a specific meaning inside Dooap Studio, the definition says so.

TermDefinition
Agentic AIAI that plans and executes multi-step actions toward a goal, rather than just answering a question or generating text.
AgentA configured unit of agentic AI assigned to a specific job — an agent that codes invoices, an agent that matches POs.
ActionA defined, multi-step flow an agent executes (say, OCR → categorize → code → route). In Dooap Studio, the Action is the unit you build, test, run, and share.
Confidence scoreThe agent’s own measure of certainty in a given decision — the basis for whether it proceeds or escalates.
Confidence gateA required confidence level set on a step. Results below the gate never proceed on their own — they fail safely and escalate, with the reasoning attached.
GuardrailA rule or threshold defining what an agent may act on autonomously versus what requires human review.
EscalationThe handoff of a low-confidence or out-of-policy decision from an agent to a human, with context attached.
Audit trailThe complete, logged record of an agent’s decision, rationale, and any human override.
Touchless / straight-through processingThe share of invoices that flow from receipt to payment with zero human keystrokes.
Dynamic skillsReusable blocks of instructions and knowledge an agent loads based on what it’s working on right now — a specific vendor, a specific error type — instead of one monolithic prompt that tries to cover every case.

Common questions

Is “AI agent” the same as a chatbot?
No — a chatbot responds to questions. An agent takes multi-step actions inside a system, with or without a conversation happening at all.
Is “agentic” just a marketing buzzword?
The term has a specific technical meaning (autonomous, multi-step, goal-directed action) — but it’s fair to ask any vendor to demonstrate what their agent actually decides and executes, not just what it’s called.
How is this different from Copilot?
Copilot-style tools generally assist a human doing the work. Agentic AI is built to do defined parts of the work itself, within guardrails, escalating only when needed.

See these concepts running inside Dooap Studio.

Book a demo — confidence gates, escalation, and the audit trail, live on a process like yours.