The sociotechnical bridge

From people to data, without splitting them in two.

Almost always the scene is the same: an organization takes the leap to artificial intelligence, spends the budget, and months later the system is still switched on with no one using it. No one wanted it to end that way. This book holds a single idea, carried to the end: transforming an organization with technology is a human problem before a technical one, and whoever can read the human fabric and build the system occupies a rare and valuable position. It brings four disciplines —sociology of organizations, software engineering, data engineering and AI governance— together around that thesis. It is a living book: every claim with data carries its source, and it grows with each revision. It can be read straight through or entered wherever your own problem presses hardest.