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The ambition to grow into a new market, made concrete

The sentence heard in every boardroom

A management team often expresses the ambition in a single sentence: "we want to grow into a new market." Everyone nods. And yet the commercial director means something different by it than the operational director. The former thinks of revenue from a new segment. The latter thinks of whether the organization can actually serve that revenue without existing customers suffering as a result. Both are right, and both are incomplete as long as the ambition has not been worked out in terms of what the organization needs to be capable of.

That elaboration begins with four layers. The vision describes why this market fits who you want to be. The vision state describes what the company looks like once that market forms a substantial part of revenue. The target is the concrete point being worked towards: a revenue goal, a customer count, a geographic reach within a set period. The target state describes the organization required for that: which functions, which processes, which decision rights.

What the organization needs to be capable of before the work can be shifted

Growth in a new market is not just a sales question. It touches market knowledge, local regulation, customer service in another language or time zone, pricing, and the question of who decides when the new market calls for an adjustment that falls outside the existing mandate. Eight dimensions of readiness recur here time and again: knowledge of the market, capacity to serve it, data about that market, technology that fits, processes that are scalable, decision rights that don't get stuck at head office, budget that isn't dependent on results that don't yet exist, and people who can do the work.

The five confidence gates test whether an organization can say, on each of those points: we know it, we have tried it, it works, we can repeat it, we can scale it. A management team that says it wants to grow into a new market, but at the very first gate already finds that no one in the company knows that market from firsthand experience, is voicing an ambition that does not yet have a target state.

Where AI is already taking over the work, and where not

Something is changing here, and not evenly everywhere. Market research that used to take weeks — competitive analysis, price comparison, regulation per country — can largely be done by AI, with an analyst assessing and approving the outcome. Translation of customer communication and first-line customer service in a new language is shifting in a comparable way: AI produces the first draft, an employee approves or rejects it and states the reason. Building a local network, negotiating with a first distributor, and the decision on whether to continue when the first figures disappoint, remain human work.

Why does this already work in one company and not yet in another? Not because one has a better AI strategy, but because the underlying dimensions are at different levels of readiness. A company with cleaned-up customer data and a clear escalation route can deploy AI on first-line contact faster than a company where that data is spread across three systems and no one owns the question of who may approve an exception. The AI application does not get stuck on the technology, but on the readiness for it.

Which roles come with it

The capability back-translation makes visible which roles are needed once the target state is taken seriously. A market lead who knows when an AI analysis is sufficient and when it is not. A customer service employee trained to assess AI drafts rather than write every answer themselves. A decision-maker with the mandate to make local decisions without having to go back to head office. This touches on the question of which functions will look different going forward, and that subject has its own legal requirements once it concerns individual positions; the organization itself makes that assessment, in accordance with the rules that apply to it.

The underlying question — which work in this company, in this new market, can genuinely be taken over by AI — is answered task by task with the work scan from FTE TO AI.

What you will notice about it in a year

After a year, the difference is visible in freed-up hours, not in statements of intent. Market research that used to take a quarter now takes a few weeks because the first draft is delivered by AI. Customer contact in the new market runs without extra fte's on the clock who only translate. And above all: the management team can point to which of the eight dimensions is still lagging, rather than speaking in general terms about "not being ready yet."

This question does not stand apart from other ambitions. Growth without margin is a different outcome than growth with margin, and how the two relate to each other you can read in how you weigh growth against margin in a strategy. Those reaching the new market via a new product rather than an existing range will find the corresponding elaboration in how you make the ambition to introduce a new product measurable. And those wondering whether "growing into a new market" is actually a disguised way of saying "expanding internationally" will find sharper language in how you make the ambition to expand internationally measurable.

What you can do now

The free readiness check consists of eight short questions, one per dimension, and produces a picture of where the organization is furthest along and where it is not yet. That picture is the starting point, not a final verdict. The full ambition assessment, with the four layers, the five confidence gates and the capability back-translation to roles, is under construction. Those who first want to know whether "growing into a new market" is, for this company, a vision or already a target state, start with those eight questions.

Mariade assistent van de ambitietoets

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.