The papers

A practical body of work on AI agents for the leaders deciding. Read in any order; each stands on its own.

1. 01What AI agents actually areFor executives, not engineers. What an agent is, and how it differs from the AI you already use.
2. 02Why / What / How: choosing your agent use casesA three-question filter for deciding which agent initiatives are worth pursuing, before you touch a tool.
3. 03Managing AI Agents Like TeammatesThe five things only a human can give an AI agent: a job, context, autonomy, tools, and oversight.
4. 04AI agents vs copilotsWhat changes when the tool stops assisting and starts acting, and why that changes how you lead it.
5. 05Three real AI agents worth studyingThree documented agent case studies told honestly, from a Nature paper to an honest failure, and what each teaches.
6. 06Governance and the EU AI Act for AI agentsRisk, permissions, and oversight, without strangling the thing you are trying to build.
7. 07What good looks like: worked examplesReal leadership teams putting agents to work, and what actually made the difference.
8. 08AI agents for financial-services executivesThe regulated-industry view: where agents earn their place in banking and insurance, and where they do not.
9. 09When agents work in teamsWhat changes when you run a team of agents instead of one, from a teammate in your chat to a fleet to a deliberating panel.