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The AI Agent Enterprise: Economics, Organization, Governance — and What Agents Mean. Digital labor, delegation, unit economics, accountability, ... enterprise (The AI Agent Series, Band 7) - Couverture souple

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9798171353551: The AI Agent Enterprise: Economics, Organization, Governance — and What Agents Mean. Digital labor, delegation, unit economics, accountability, ... enterprise (The AI Agent Series, Band 7)

Synopsis

Your agents work. Now decide what your enterprise becomes when it runs on them.

The engineering is done — the agents are built, hardened, and operated. The question left is the one boards, founders, and executives actually have to answer: what does a company become when it runs on agents, and how does it capture their value while containing their risk? This book takes the executive's view, and its one governing idea is a substitution that reorganizes every decision that follows: an agent is not software you buy, it is labor you rent — and the enterprise that hires, manages, governs, and holds agents accountable like workers succeeds where one that treats them as software fails.

Through ten chapters, each pairing a real enterprise failure with a decision tool you can run, you will work through:


  • Agents as digital labor — and why augmentation, not replacement, is the larger and more durable value

  • Which work to delegate and, harder, what to keep human — a delegation-fit scorer where safety caps value

  • The human–agent organization — the span of control for agents and the new "manager of agents" role no one budgeted

  • Build, buy, or orchestrate — an answer that flips with whether a capability is your edge or your plumbing

  • The unit economics of the agent business — cost per outcome, margin, and why the economy rewards volume and punishes pilots

  • Governance and accountability — scoped decision rights and a named human for every decision, because "the agent decided" is not an answer

  • Legal and compliance — executable red-line tests, because a policy an agent cannot read enforces nothing

  • Ethics and alignment in practice — surfacing the value trade-offs your agents make so a human can own them

  • The philosophy of agency, made operational — degrees of agency as a risk tier, and the grant-versus-oversight gap where incidents live

  • The AI-native destination — the portfolio, the maturity ladder, and the leap from a graveyard of pilots to an operating enterprise




The governing idea, held for ten chapters: treat agents as labor, not software. Each chapter adds a research lineage (Coase and Autor to Berlin and Leveson, the RACI to the capability-maturity model), a failure catalog, an applied deep-dive, and exercises. The companion toolkit, aria7, is a set of deterministic decision models — labor economics, delegation fit, unit economics, governance, compliance, agency scoring, the roadmap — that run offline with one dependency, so every trade-off in the book is not just argued but executable.

Who it's for: executives, founders, boards, and strategists deciding whether and how to run their enterprise on agents — and the senior leaders who will own the outcome. The capstone of the series; readable on its own, richer after Books 1–6.

The AI Agent Series takes readers from first contact to professional mastery across seven volumes. This is Book 7, the last: the economics, organization, governance, and meaning of the AI-native enterprise.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.