Performance measurement is the collective set of indicators, reports and assessment moments with which an organization determines whether the work does what it should do. That goes beyond a dashboard. It concerns the question of who is allowed to interpret a figure, who is allowed to approve a deviation, and on the basis of which data that happens.
That dimension changes as soon as AI takes over part of the measurement work. Collecting data, adding up figures, signaling deviations: that is work that increasingly happens without human hands. Interpreting a deviation and deciding what that deviation means for a team or an investment remains a different kind of work. It is precisely at that boundary that the question of readiness arises.
Within performance measurement, three categories of work run together.
The first is work that AI can take over: collecting figures from various systems, compiling reports, signaling trends that fall outside a bandwidth. This already happens today in parts of some organizations, and not at all yet in others.
The second is work in which AI makes a proposal and a human approves or rejects it, with reason. A deviation in revenue per region can be signaled by a system; whether that deviation is a problem or an expected seasonal effect remains an assessment that someone with knowledge of the context makes and can account for.
The third is work that remains human work: the conversation with a team leader about why a target was not met, the consideration of whether an indicator still fits the current ambition, the choice to drop a measurement point because it no longer says anything.
The difference between companies does not lie in ambition, but in whether these three categories have already been separated. A management team that speaks of "automated reporting" without specifying which part is automatic and which part is assessed, is speaking of three different things with one word.
Readiness for this shift does not require new software. It requires work that often has not yet been done:
These four points determine how many hours become available as the collection and reporting work shifts, and how much capacity remains necessary for the assessment work that remains. That is not a fixed ratio; it depends on how mature the current measurement structure is and how much of it is already unambiguously defined.
As the collection and reporting part of performance measurement shifts to AI, FTE capacity is freed up that previously went into compiling overviews. That capacity can be deployed on interpreting signals, on the conversation about what a figure means, or on revising indicators that no longer align with the ambition.
How much capacity that exactly is differs per organization and per reporting cycle. It depends on the number of indicators, the extent to which data is already structured, and how much of the current work already consists of assessment rather than collection. If this shift affects personnel decisions, separate legal requirements apply to that; that is a different question from the question of which work is relocated.
Performance measurement does not stand on its own. What an organization can measure affects what it can account for towards capital providers -- see how financial resilience holds up as measurement work shifts -- and what it can demonstrate externally towards regulators, as described in what compliance and risk require when assessment work changes. A target is also only a target once it is measurable; see how a vision is translated into something that can be measured.
The question of which part of the measurement work in this company can genuinely be taken over by AI is a factual question about tasks, not about ambition. That question is answered per task with the work scan from FTE TO AI.
The free readiness check consists of eight short questions, one per dimension, and provides a picture of where your organization is furthest along and where the least. Performance measurement is one of the eight in this; often the outcome is related to how an ambition has been phased, something explained in how a large ambition is broken down into achievable steps. The full ambition assessment, with all four layers and eight dimensions, is under construction.
Vertel wat u wilt bereiken, dan kijken we samen wat daarvoor moet staan.
Answers come from this site’s knowledge base. Not tailored advice, and not a scan of your company.