"Next year we're introducing a new product." The sentence sounds unambiguous, but in the meeting room it means five different things. For one person it's a launch into an existing market through an existing channel. For another it's a new revenue model with new customers. For a third it's mainly a signal to the shareholder that things are moving. Three interpretations, three different amounts of work, three different teams that have to deliver on it.
The ambition assessment sets that sentence out in four layers: the vision (why this product, why now), the vision state (what the organization is capable of once it has succeeded), the target (what concretely stands on the end date) and the target state (the reality on the floor at that moment). Only once those four layers tell the same story is the ambition something to steer on.
A product introduction consists of work that can be divided into three types. Market research, concept testing and the first versions of product copy: part of that can already be carried out by an AI system today, with an employee assessing the outcome and approving or rejecting it for reasons stated. Pricing, forecasting and initial customer segmentation: largely shared work, where an AI system makes a proposal and a human carries the decision. And then there is work that remains human work: the negotiation with a first major customer, the political process within the organization itself, the decision to press on when the first figures disappoint.
The difference between companies that already organize things this way and companies that don't rarely lies in the technology. It lies in whether the organization knows which part of the introduction process falls into which category. Companies that do know this have marketing and product teams that treat AI output as a first draft and spend their time reviewing and adjusting it. Companies that don't know this have the same people build the entire process from scratch, because no one has determined which part could already be accelerated.
A product introduction doesn't call for one skill but eight, and an organization is at a different point on each dimension. Consider: does the organization have a process to assess market signals without it getting stuck with one person. Has capacity been freed up, in hours and in FTE, or does the introduction come on top of existing work. Are the decision rights clear — who is allowed to postpone the launch, who is allowed to raise the budget. Is there a feedback loop that shows early enough whether the concept is catching on. Is the technical infrastructure ready to support a new product. Is there a sales team that can tell the story before the first customer hears it. Is there someone who oversees the introduction as a whole, rather than it consisting of separate work packages. And: is there a way to stop if the first signals are bad, without stopping being seen as failure.
On most of these eight dimensions, part of the work is becoming AI work. Searching and summarizing market signals, first drafts of customer communication, running scenarios for pricing — that is work from which an AI system can take hours out of the process, with someone responsible checking the outcome. Decision rights, the stop moment and the political process remain with people, with all the responsibility that entails.
Between the first statement and the launch lie five confidence gates: moments at which it is checked whether the assumptions made at the time still hold. At the first gate, the question is whether the market exists as expected. At the second, whether the team has the right composition. At the third, whether the budget and capacity still match the scope. At the fourth, whether the first test results confirm the assumption. At the fifth, shortly before launch, whether there is still a reason to postpone. An ambition without these gates is only tested at the launch itself, and that is late.
The eight dimensions translate into roles that often don't yet exist on paper. An owner of the introduction who can operate across teams. A role that oversees the freed-up capacity — how many hours are actually available, not on paper but in the calendar. A role that reviews AI output before it goes out, with the mandate to reject it. And a role with the decision right to delay the introduction, independent of the pressure to meet a deadline. Who fills those roles is a choice for the organization itself; what is legally required when a role disappears or changes falls outside this assessment and requires its own legal consideration.
The product hasn't succeeded because it has launched. It has succeeded if the vision state and the target state match: if the customer uses it as intended, if the team has retained the capacity it needed, and if the organization can point to which part of the work was correctly estimated in advance. In a product introduction this runs alongside other ambitions: getting to market faster, for example, ties into making the ambition to deliver faster measurable, and a new product meant to improve margin shares gates with the ambition to improve margin. Companies that also want to grow internationally at the same time would do well to see where those two ambitions meet in capacity, as described under the ambition to expand internationally. And anyone who wants to split the introduction into quarters because a year is too short will find the approach for that under phasing an ambition that is too big for a year.
The underlying question — which part of the introduction process at this company can genuinely be taken over by AI — is answered task by task with the FTE TO AI work scan. If you first want to know where your organization stands on these eight dimensions, there is the free readiness check: eight short questions, one per dimension, giving you a picture of where you are furthest along and where you are not. The full ambition assessment, with the four layers and the five gates, 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.