The AI Agent Control Playbook : A Practical Guide to Managing Agent Autonomy, Access, Actions, and Risk
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 41.36
Quantity: 2 available
Add to basketItem description from seller
Neuware - AI agents are moving from generating answers to taking action. The question is no longer only whether the output is correct. It is what the agent can access, invoke, change, communicate, spend, or commit, and how that authority is controlled.The AI Agent Control Playbook gives business and technology leaders a practical framework for managing AI agents as operational systems rather than treating them as prompts with tools attached.Inside, you will learn how to: - distinguish capability, autonomy, authority, and consequence;- classify actions using five Agent Action-Authority Levels;- assess impact using four Consequence Tiers;- define an enforceable Agent Control Envelope;- control identities, permissions, tools, data, and delegation;- protect instructions, context, memory, and trust boundaries;- design meaningful human approval and escalation;- test agents before they are allowed to act;- monitor actions, reconstruct incidents, and contain failures; and- build a practical 90-day agent-control roadmap. The playbook follows the fictional Northstar Customer Resolution Agent from initial scope through permissions, approvals, testing, monitoring, incident response, and change management, showing how the framework works across a complete agent lifecycle.The paperback also includes a 24-page Agent Control Quick-Start Toolkit that helps you apply the method immediately to one real or planned agent.This book is designed for AI product leaders, business executives, founders, consultants, IT and automation leaders, security and identity professionals, governance and risk teams, and organizations moving AI agents from experimentation into real workflows.Useful autonomy needs boundaries. This playbook shows you how to define them.…
Seller Inventory # 9798193109877
- Title
- The AI Agent Control Playbook : A Practical Guide to Managing Agent Autonomy, Access, Actions, and Risk
- Author
- Todd B Watts
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798193109877
- Item weight
- 399 grams
- Dimensions
- 279x216x9 mm
- Series
- Book 2 of 2: Anevra AI Professional Toolkit Series
AI agents are moving from generating answers to taking action. The question is no longer only whether the output is correct. It is what the agent can access, invoke, change, communicate, spend, or commit, and how that authority is controlled.
The AI Agent Control Playbook gives business and technology leaders a practical framework for managing AI agents as operational systems rather than treating them as prompts with tools attached.
Inside, you will learn how to:
- distinguish capability, autonomy, authority, and consequence;
- classify actions using five Agent Action-Authority Levels;
- assess impact using four Consequence Tiers;
- define an enforceable Agent Control Envelope;
- control identities, permissions, tools, data, and delegation;
- protect instructions, context, memory, and trust boundaries;
- design meaningful human approval and escalation;
- test agents before they are allowed to act;
- monitor actions, reconstruct incidents, and contain failures; and
- build a practical 90-day agent-control roadmap.
The playbook follows the fictional Northstar Customer Resolution Agent from initial scope through permissions, approvals, testing, monitoring, incident response, and change management, showing how the framework works across a complete agent lifecycle.
The paperback also includes a 24-page Agent Control Quick-Start Toolkit that helps you apply the method immediately to one real or planned agent.
This book is designed for AI product leaders, business executives, founders, consultants, IT and automation leaders, security and identity professionals, governance and risk teams, and organizations moving AI agents from experimentation into real workflows.
Useful autonomy needs boundaries. This playbook shows you how to define them.
"Synopsis" may belong to another edition of this title.
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