The end of the tribal knowledge era.

We are used to thinking of organizational knowledge as something alive, breathing, undocumented. Wisdom passed by word of mouth between employees and managers. But in an era where AI can learn not only from text but from observing organizational routine, a new window opens: learn, document, turn tacit knowledge into working infrastructure.

Companies like Salesforce turned the best practices of sales organizations into a business infrastructure worth trillions. Today there is an opportunity to do this for dozens of other domains. Not by defining the process in advance, but by analyzing what actually happens, in real time.

And it is already happening. Systems that record screens, learn repeating actions, and understand how people actually work, not how they think they should work. No more guides in Confluence. Agents that sit quietly, learn, and begin to understand the organization's DNA.

The technology is here. The culture is ready. And the prize? Building the next giant platform, for all those departments still run like a tribe instead of a system.

A moment of nostalgia: we may be the last generation in which every organization had to produce its own oral tradition, tacit knowledge passed between people without documentation, without continuity. Perhaps in a decade we will look back with longing at the diversity and creativity of organizational practices, the way we look today at the wisdom of ancient tribes.

The business world's next oral law will probably be digital and automatic. The question is: who will write it? Agents?