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:
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.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware. N° de réf. du vendeur 9798171353551
Quantité disponible : 2 disponible(s)