Economic Governance for AI-Driven Organizations
Agent Chaos is what happens when AI agents multiply faster than an organization can own, measure and retire them.
72 in every 100 CIOs cannot consistently confirm that all their AI agents deliver business outcomes.
Dataiku / Harris Poll, 685 CIOs, Sep 2026Three ways in, depending on how much time you have before your next board meeting.
Five questions to send your CIO or Chief AI Officer. If they cannot be answered immediately, you have found your exposure.
Two minutes to read, one email to send
See the five questionsThe real monthly cost of your agents, including the human review and maintenance that no invoice shows.
Seven numbers, two minutes
Calculate the real costThe definition, the symptoms to look for and the five capabilities that prevent it.
Five-minute read
Read the definitionof CIOs feel more board pressure to show AI returns.
Dataiku, Sep 2026have near-real-time visibility of AI costs by business unit or use case.
Dataiku, Sep 2026of board directors say the information they get on AI, risk and performance is fair, poor or unavailable.
PwC directors survey, Sep 2026of agentic AI projects will be canceled by the end of 2027, Gartner expects.
Gartner, Jun 2025AI agents are not tools. They are capital allocation decisions. Economic opacity is the earliest symptom of Agent Chaos.
Not more control. The discipline to know which agents to keep, which to retire and which never to build.
Read the Foundational StatementLatest brief,
Agent sprawl is what happens when agents are added one use case at a time, each sensible on its own, until nobody can say how many exist, what they cost or which ones overlap. The problem is not the number of agents. It is the absence of a portfolio.
Read the brief6 min read
When an AI agent fails, accountability splits across four teams. Why "IT owns it" is the wrong answer, and how to name a single economic owner for every agent.
5 min read
Researchers talked six AI agents into leaking data and wiping an email server. The board-level lesson is not about security tools. It is about ownership.
6 min read
Boards want proof that AI agents pay back. Asking for ROI per agent produces false precision. Measure the portfolio instead — here is how.
One brief per month: a pattern, the data behind it and three questions for your team. You also get The Board Questions as a printable one-pager.