Intelligence is the fifth level in the maturity measurement, after baseline, foundation, activation and insight. Those who reach this point have traveled the path that begins at baseline: from an organization without a shared picture of AI to an organization that knows what it is doing and why. But intelligence is not a plateau where you can remain standing. The question that remains is not whether it is enough — the measurement does not answer that question — but what the status of this level requires you to hold on to in practice, and where the next movement comes from.
Across the four preceding levels, an organization grows from incidental use to repeatable use to deliberately arranged processes. At insight, there is visibility into what works and what does not, across the seven dimensions: organization, IT infrastructure, data management, and the dimensions that build on those. Intelligence adds something to that which cannot be found in a single dimension: the ability to read those seven dimensions in relation to one another. A change in data management is recognized as something that carries through into what agents can do; a choice in IT infrastructure is judged on what it means for the chain of steps that follows. It is no longer a collection of separate maturities per dimension, but an organization that treats the dimensions as one system.
That sounds abstract until you see it reflected in meetings. At the intelligence level, an AI investment is no longer assessed per department, but on what it delivers or costs for the organization as a whole. Decisions about data quality are made with the awareness that they determine the ceiling for what is possible further along the chain. There is no longer a single dimension that quietly lags behind without anyone noticing.
The plot round, in which several people score separately, shows something different at this level than at the levels before it. At baseline and foundation, spread is usually about unfamiliarity: people score differently because they see different parts of the organization. At intelligence, spread is more often about interpretation. Two managers who both oversee the system can still weigh differently which dimension deserves the most attention at this moment. That spread is not a sign that someone does not understand — it is a sign that the organization is at a level where the question is no longer "are we doing it", but "where do we place the emphasis".
That distinction is precisely why the spread remains visible instead of being reduced to an average. An average score conceals which manager places a different weight on which dimension, and that weight is valuable information for the conversation that follows the measurement.
The maturity measurement has no level after intelligence — it is the last of the five. That does not mean there is nothing left to do. It means the question shifts from level to sustainability. An organization that manages the system of seven dimensions in relation to one another must keep maintaining that coherence while the dimensions themselves change: new data sources, new infrastructure, new forms of organization around the work. Intelligence is not a state that continues to exist on its own; it is a way of looking that must be applied again and again to whatever changes.
In that respect, this level differs from the ones before it. At activation, the point is to get repeatable use underway; that is a step you take and that then remains in place. At intelligence, the task is ongoing: following the system, not completing the system. That requires the organization not to treat the measurement as a one-time diagnosis, but as something it returns to as soon as one of the seven dimensions shifts.
This measurement describes whether the organization can carry AI: whether the fundamental dimensions are in place before the dependent dimensions build on them, and whether that happens coherently up to the level of intelligence. It does not tell you which part of the work itself can be taken over by AI. That distinction becomes sharper as an organization scores higher: the more mature the system, the more concrete the question becomes of what is possible with agents that carry out work, and how those agents relate to chains in which steps follow one another. A different instrument is intended for that question: the work scan from FTE TO AI calculates, per task, which part of the work can be taken over, at a moment when the organization's readiness can carry it.
The maturity measurement, including the plot round for multiple scorers, is under construction. Those who want to use the measurement as soon as it becomes available can sign up for the waiting list.
Vraag maar wat er moet staan voordat AI in uw organisatie kan landen.
Answers come from this site’s knowledge base. Not tailored advice, and not a scan of your company.