Topics

The subjects this writing keeps returning to. Each hub lists the pieces that make the argument, oldest last.

• AI Governance

  What a system is allowed to own, who approved it, and what evidence exists afterwards.

  11 pieces

• Generative AI

  Where probabilistic models earn a place in consequential work, and where they do not.

  10 pieces

• AI Security

  The credential, the identity and the permission, which is where most of the real exposure sits.

  7 pieces

• AI Evaluation

  How model behavior is measured, and the ways the measurement turns out to be shakier than the model.

  5 pieces

• Finance Transformation

  The close, the ledger and the controls, which is where automation meets something that has to reconcile.

  5 pieces

• AI Agents

  What happens when software stops advising and starts acting on its own authority.

  3 pieces

• AI Strategy

  The gap between what an AI program is approved to do and what it actually runs.

  3 pieces

• Identity Security

  Non-human identity, borrowed authority, and permissions nobody exercised until an agent did.

  3 pieces