How far do you let the machine work on its own? Most companies use "agentic AI" as a sales label, not as a measured level of autonomy. This session delivers the scale that separates automation from real autonomy, the eight levels that make it up, and the vocabulary the market uses to sell one as the other.
The full scale, with typical market tools dated at each step — to recognize which level the work already running in your company sits at today.
Gartner estimates that, of every thousand vendors selling themselves as AI agents, fewer than a hundred and thirty actually are — the rest is traditional automation with a conversational layer on top. The fifteen-minute demo does not tell the two apart, and most companies have no yardstick of their own to try.
It is not a lack of available technology. The stated obstacle is granting the machine autonomy without knowing how far it can go unsupervised.
The sales vocabulary moved up faster than the technology delivered. Without a scale of its own, the buyer has no way to hold anyone to the difference.
The scale arranges automation and autonomy on a continuous axis, not as a binary choice. Each stage groups two levels, and each level has a real market tool attached to it — dated, so it does not age as a promise.
The machine suggests; the person decides and executes. It is the most common step today, and the easiest to mistake for "we already have agentic AI".
The machine executes a closed task; the person approves beforehand or reviews afterwards. The two-round test separates this level from the next.
The machine decides and acts within a declared boundary, with no prior approval — and the boundary is what has to be written down.
The machine redefines its own approach within the objective. It is the step most companies describe having, and few actually operate.
A hundred and twenty minutes deliver the public scale. The next layer — how much control each level requires, and where the autonomy ceiling sits for each process — belongs to a more advanced step.
The scale says which level the machine is at. How much control that level requires, and where the ceiling that is not negotiable sits, is content reserved for the masterclass.
The scale describes capability, not recommendation. Deciding how far up to go is a business decision, and it depends on the process, not on the technology available.
It works for a group from a single company or for an open audience. Each class on the scale comes with a public case, with its source, so the level can be recognized without relying on the sales pitch of whoever sold the tool.
It fits a slot in an executive calendar, without requiring half a day to be blocked off.
It requires no technical background. It requires that the person has to approve, contract, or defend an agentic AI project in front of someone.
The webinar delivers the public scale. The Executive Judgment Masterclass takes on the next decision: how much control each level requires and where the ceiling sits for each process.
What your company calls "agentic AI" today — which of the eight levels is it actually at?
A hundred and twenty minutes, and the eight-level ladder becomes a working instrument, not deck jargon. Tell me whether it is for you or for your team and I will reply with the possible dates.
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