From the scientific calculator to the situation room
I remember the moment exactly. A maths lesson in upper secondary school, my first scientific calculator in my hands. The formulas moved from paper to the machine. I no longer looked up sines and cosines in a book of tables: the machine calculated, I interpreted the result.
The same move has repeated three times in my life, and every round has shifted the heavy work to the machine and left interpretation to the human.
First the calculator moved computation from paper to the machine. Then the internet connected information and machines, and we could ask the web almost anything. Now AI no longer just retrieves information: it combines, improves and reasons about it by calculating the most probable next word or character. The request can be speech, an image or text, and the more parameters the models have, the more dependencies they recognise.
So far the story is technology history that everyone knows. What few talk about is what this really changes in board work.
A meeting measures history
The board is built on a rhythm of meetings. Four, six or eight times a year we gather to look at a PDF of the previous quarter’s result. It is a situational picture that is already old when it enters the room. The whole model rests on information being collected, refined and shared at long intervals, because human brains could not do otherwise before.
AI does not change what the board knows. It changes when the board knows it.
I have built a model for my own boards that I call the AI situation room. The idea is simple: five streams of information (strategy, finance, market, AI and experience) are brought together into one continuously updating situational picture before anyone opens their mouth in the meeting. No more five separate reports and five different truths, but one view from which the board makes its decision.
Three things I have learned applying this on six of my boards
- A meeting measures history; a situation room measures the present. The biggest change is not AI itself but the shift from a meeting rhythm to a continuous flow.
- Five streams are better than five reports. Strategy, finance, market, AI and experience must not live apart. Combined, they reveal dependencies that no single report shows.
- The machine prepares, the human decides. AI does not sit on the board as a voting member. It does the background work so thoroughly that the board’s time goes only to what truly requires a human: the decision.
A system, not a single figure
Here is the real insight that many pass by. Think of a company, a property or an investment portfolio as a three-dimensional, complex system, not as a single figure in a table. Cash flow, people, customers, contracts and the market situation are all bound to each other, and they change all the time, not only on the day of the meeting. Human brains can handle a few dependencies at a time. AI can handle thousands, continuously, simultaneously.
AI is a pocket calculator for leading systemic wholes. No longer for calculating sine and cosine, but for calculating what a change in one decision does to the whole system.
The machine calculates, the human decides.
The calculator did not make me a worse mathematician at school. It freed time to understand what the result meant. The AI situation room does not make the board a worse decision-maker. It frees the board’s time for what it is really needed for.
The question is no longer whether you use AI. The question is whether your board still lives in a meeting rhythm when the tools would allow a continuous situational picture.
When did your board last know something that management had not yet had time to report?
By Ville Tolvanen. Originally published in Finnish: Funktiolaskimesta tilannehuoneeseen. More in English: Aura Boards — start here.
