What 'Agentic' Really Means: A Checklist for Decision-Makers
In short
Almost every product is called agentic now. A clear definition and seven questions to settle in one conversation what you are really buying.
Table of Contents
"Agentic" is now stamped on almost every product: chatbots, automations, dashboards with an "ask the AI" button. For decision-makers that is a problem, because the same word covers very different systems — with very different risks.
1) A workable definition
A system is agentic when it receives a goal, plans its own steps, uses tools and reacts to results until the goal is reached or it stops. Technically: agent = model + harness — everything except the model, i.e. tools, permissions, memory, checks (LangChain).
A chatbot that answers questions is not agentic. Neither is a fixed workflow with one AI step. Both can be very useful — they are just something else.
2) The checklist: seven questions for every vendor
- What is the goal, and who sets it? Does the person define an outcome or only individual commands?
- Does the system plan itself? Or does it follow a fixed sequence someone built beforehand?
- Which tools may it use? Read, write, pay, send — each level separately.
- Where are the approval points? Which actions need human confirmation?
- How does it check its own results? Tests, rules, a second model — or not at all?
- What happens on errors? Does it stop, retry, report?
- What is logged? Can every step be traced afterwards?
If the answers to questions 2 and 3 are "no" and "none", you are being sold an automation. That is not a criticism — just a different category at a different price.
3) Why the distinction matters
- Risk: an agentic system can do things nobody ordered individually. That needs permission concepts and logs — see the EU AI Act for transparency duties.
- Cost: agents use more compute because they plan and check.
- Value: the benefit comes from multi-step tasks with open paths — not from tasks you could also build as a fixed flow.
Conclusion
"Agentic" is not a quality mark but a design type. Seven questions settle in one conversation what a product really is — and whether you are paying for autonomy you do not need.
Frequently Asked Questions
What is "What 'Agentic' Really Means: A Checklist for Decision-Makers" about?
Almost every product is called agentic now. A clear definition and seven questions to settle in one conversation what you are really buying.
A workable definition: what matters?
A system is agentic when it receives a goal, plans its own steps, uses tools and reacts to results until the goal is reached or it stops. Technically: agent = model + harness — everything except the model, i.
The checklist: seven questions for every vendor: what matters?
What is the goal, and who sets it? Does the person define an outcome or only individual commands? Does the system plan itself?
Why the distinction matters: what matters?
Risk: an agentic system can do things nobody ordered individually. That needs permission concepts and logs — see the EU AI Act for transparency duties. Cost: agents use more compute because they plan and check.
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