Governance belongs in the workflow

When I think about AI in professional work, I start with a practical question: what would someone need to know before taking responsibility for the result?

They might need to see the sources, understand the assumptions, consider an alternative interpretation and know whether the work has changed since it was reviewed. A fluent answer does not make those things visible by itself.

Follow the work into the decision

The same draft can help someone explore an idea, then later become the basis for advice. A process should make that transition visible and provide an opportunity for appropriate review.

This is the problem I am exploring through Metacog: connecting the intended use of the work with its evidence, the challenge it has received and the human decision to rely on it. What evidence is useful enough to retain? How much review is proportionate? What happens when new information changes the basis of a conclusion? These questions need testing in real workflows.

Make the controls usable

A governance process has to fit the economics of the work. Repeated reviews with little decision value are difficult to sustain. Capturing everything indiscriminately can create privacy problems and obscure the evidence that matters.

I am interested in controls that help people do the work: clear responsibilities, review at meaningful points and records that explain a decision. Their value has to be demonstrated through use.

This connects to my earlier work on business models and automation. The useful unit of design is the working process, including the people who need to understand and maintain it.