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Glossary · A

Agentic AI

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Definition

Agentic AI describes AI systems that break a given goal into steps on their own, use approved tools and systems to reach it, and adapt their approach based on interim results.

Most AI features answer a single request: summarise, translate, draft. Agentic AI goes one step further. It receives a goal and decides for itself which steps lead there.

That shifts the question. No longer "what does the AI answer?" but "what may it do, and when does it stop?" The business, data protection and IT answer that question together.

#Three levels compared

Generative AIAI agentAgentic AI
Taskone instructionone requestone goal
Resulta texta completed actiona sequence of actions
Planningnonea predefined flowits own plan, adjusted on the way

The boundaries are fluid. An AI agent in customer service often uses agentic abilities, for instance when it first finds a case, then checks a rule and then triggers an action.

#What an agentic flow looks like

  1. Goal. A customer reports a damaged delivery and wants a replacement.
  2. Plan. Find the order, request photos, check the replacement rule.
  3. Tools. Query the order system, send an upload link, evaluate the rule set.
  4. Check. If photos and rule match, the replacement is triggered; otherwise a person takes over.

Each step uses a tool that has been explicitly approved. Anything not approved is not available to the system, even if it would lead to the goal.

In customer service it pays to start small: one goal, few tools, clear thresholds. Only when the log shows the flow holds up do further steps follow.

#Limits and oversight

More room means more responsibility. Agentic systems therefore need clear guardrails, set before go-live rather than discovered in operation.

Decisions with legal effect belong with a person. Article 22 GDPR restricts decisions based solely on automated processing; the exceptions are narrow.

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Oversight is teamwork: the business, data protection and IT set approvals, thresholds and logs together.

#Agentic AI in Univerx

In Agent Studio you decide which tools an agent may use, test flows before release and keep every action in the log. Our principles are set out on Responsible AI.

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