Everyone is ready. The map is what is missing
The most common sentence in public-sector digitalisation is "we are not there yet". It is always wrong — and the reason it is wrong takes about three minutes to demonstrate.
Two conversations this week, different organisations, same sentence: we are not there yet. Both were already there. What neither had was the map in the middle.
The reality is not missing. Municipal boundaries exist. Schools, care homes, water works and fire stations have addresses. Networks run between towns that are already on a map. Server rooms sit in buildings with doors and power feeds. Residents are counted every year. None of that has to be built, bought or matured into existence.
And it is already in use. Every time someone says the trouble is in that municipality, that hall is too warm, that home has poor coverage — the map is being used. It works, it is accurate, and it lives in four or five heads. That is the actual risk: not that the picture is missing, but that it leaves when they do.
What blocks it is a word. Say digital twin and a listener hears sensors, 3D, long timelines and large numbers, so of course the answer is not yet. Call it a spatial decision support view and the objection dissolves, because now it describes something that can start on a Tuesday.
Three minutes settle it. Show the organisation its own geography with residents and facilities, drawn from open data. Ask where the heaviest server room sits and which services depend on it — and draw the answer while they talk. Then remove that node and ask who notices, where, and how fast. What just happened is the whole method. The rest is doing it ten more times.
The output is not a picture. It is a shorter route from need to decision, a way to compare results between organisations that run different systems, and an answer to the continuity question that fits on one screen.
Coming shortly: a training programme built from this — getting started, getting further, and succeeding: reducing key-person risk, reducing fragmentation, making AI land where the work happens, and making decisions faster with the same people. Eight modules, six exercises, a ninety-day plan. Say the word and we will put you on the list.
Where this goes next
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