Almost every leadership team wants to 'do something with AI'. But the real question is rarely whether it is possible and almost always whether the organisation is ready. With the six questions below you can map your AI readiness in a single afternoon, without the hype and without buying an expensive analysis first.
Most failed AI initiatives start with the technology: there is a tool, and we go hunting for a use. AI readiness works the other way around. You are only ready for generative AI when you can name a concrete, recurring problem that costs time, money or quality: invoices keyed in by hand, objections piling up unanswered, a service desk fielding the same question a hundred times a day.
Our rule of thumb: can you explain the use case in one sentence to someone who knows nothing about AI, and do they immediately understand why it matters? If not, the idea is not ripe yet. Start small and measurable, not with a platform choice.
AI is only as good as the data beneath it. The question is not just whether the data exists, but whether it is findable, current and correct, and whether you may use it legally and ethically. For public sector organisations, the GDPR, purpose limitation and increasingly the EU AI Act come into play. A chatbot drawing on an outdated or polluted knowledge base will confidently deliver the wrong answer.
Ask yourself plainly: if we were to build an AI application tomorrow, would we know which sources to connect, who owns them and whether that data is in order? Often the honest answer is 'partly'. That is not a blocker, but valuable information about where to invest first.
Generative AI shifts the boundaries of where your information flows. Without thinking twice, employees paste commercially sensitive or personal data into public chatbots. For organisations working with frameworks such as ISO 27001, the Dutch BIO or NIS2, this is not a detail but a core risk. AI readiness means having policy, agreements and technical safeguards in place before broad adoption, not after.
The practical test: is there a clear line on what is and is not allowed in which tool, and do employees know that line? A one-page AI usage policy that people actually know is worth more than a thick document nobody reads.
AI projects rarely founder on the technology and often on the organisation. Who decides? Who pays? Who is accountable when it goes wrong? When AI belongs to 'everyone and no one', it stalls in pilots that never scale. AI readiness calls for a recognisable owner with a mandate and budget, backed by leadership.
This need not be a new department. It often works better to appoint one existing owner, form a small team and agree a clear decision path. Best Value thinking helps here: put control with those who know the content, and steer on outcomes rather than on means.
Technology changes faster than behaviour. You can roll out the best tool, but if people do not trust or understand it, nothing happens. AI readiness has a strong human component: basic knowledge of what generative AI can and cannot do, room to practise, and a culture where making mistakes in a safe environment is allowed.
Pay particular attention to the middle layer. Team leaders who see the value and lead by example matter more than any training. Invest in understanding before using: a team that grasps why a model sometimes produces nonsense will handle it more wisely.
Without a baseline you will never know whether AI delivers. Yet many organisations start without knowing how much time a process currently takes, how often an error occurs or what the lead time is. AI readiness means agreeing in advance what success looks like and how you will establish it, so a pilot gives an honest answer rather than a gut feeling.
Keep it simple: pick two or three numbers that genuinely matter and measure them before and after. This stops a nice-looking experiment from running indefinitely without anyone proving it works, and builds the evidence you need to justify scaling up.
Did several questions prompt a hesitant 'partly' or 'no'? That is not a bad sign, but exactly the starting point. AI readiness is not a switch that is on or off, but a growth path you walk step by step.
We help SMEs, multinationals and public sector organisations bring those steps into focus. In a short AI readiness scan we walk through these six questions together and translate the outcome into a concrete, achievable first step. For public organisations we immediately factor in information security and the links to frameworks like the BIO, ENSIA and NIS2. Curious where your organisation stands? Get in touch and we will arrange a no-obligation conversation, or ask about the available innovation vouchers.