IT infrastructure is one of the seven dimensions in hybridresourcing's maturity measurement, and one of the dimensions that precede others. Not because infrastructure is more important than people or results, but because the order is fixed: an AI application runs on systems, and if those systems don't talk to each other, every subsequent step stalls somewhere. This page covers what this dimension involves, how you can tell where your organization stands, and what changes between the levels.
IT infrastructure concerns the systems that carry the organization: the applications, the connections between them, the computing power and storage, and the extent to which that whole is set up for change. An organization with many systems that exist side by side without mutual connection scores differently than an organization where data and functionality can move between systems. It's not about the amount of technology, but about how that technology coheres.
The five levels — baseline, foundation, activation, insight, intelligence — describe a buildup. At baseline, systems often run on their own, set up for the process they were originally chosen for, without connection having been a design question. What baseline means in practice for an organization as a whole is set out on the page about the baseline level. At the higher levels, the picture shifts: systems are set up so that new applications can connect without the underlying structure having to be rebuilt.
There are a few signals that already say something without further investigation. If adding a new application by default requires a separate integration project, the infrastructure is probably at one of the lower levels. If employees manually retype data between systems because a connection is missing, that's a sign that the infrastructure is not yet set up for coherence. If no one in the organization has an up-to-date overview of which systems are running and how they're connected, the basis for saying anything about it is missing.
At higher levels, those signals shift. New functionality can connect to existing links rather than new ones. Computing power and storage are scalable without every expansion being a separate project. And there is someone or a team with an overview of the whole, not just of their own system.
The plot round of the maturity measurement makes this picture concrete: several people in the organization score the dimension separately, without seeing each other's answers. If the IT department places infrastructure at activation and the business keeps it at baseline, that spread says something. Often it means that facilities have indeed been built, but they're not being used as intended — or that the people who work with them daily have a different picture than the people who manage them.
The step from baseline to foundation usually requires an overview: knowing which systems exist, how they relate to each other, and where the bottlenecks in that coherence lie. That's an inventory, not a construction project. Without that overview, every subsequent step is guesswork.
The step from foundation to activation often requires connections that don't yet exist: a way to let data move between systems without a manual intermediate step. That can be a technical intervention, but it's also a choice about which systems get priority — not everything needs to be connected simultaneously.
The step to insight and intelligence requires an infrastructure set up for experimentation: computing power that can be scaled up and down, environments in which new applications can be tested without touching the production system. That's a different way of setting things up than what most organizations originally built, and the size of that step depends heavily on how much is already in place.
What that step costs cannot be summarized in a single figure — that depends on the number of systems, the age of the infrastructure, and the extent to which earlier choices already took connection into account. What is certain: infrastructure rarely works on its own. The step becomes easier or harder depending on how data management is set up, because a well-connected system delivers little if the data within it is not reliable. Privacy and security also shift along: more connection means more places where data can leak, and that has to be factored into the design, not added afterward. And without people who can manage and use the new systems, a connected infrastructure remains a facility that no one switches on.
This page is about whether the infrastructure can carry AI — not about what work AI could take over if that infrastructure is in place. That's a different question, with a different instrument. The work scan from FTE TO AI calculates per task which part of the work can be taken over by AI, given the systems currently in place. That outcome is most reliable once it's clear at which level the infrastructure stands: a work scan on a foundation that doesn't yet carry weight produces a figure that no one can execute.
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.