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When AI Creates Its Own Agenda: How Leaders Can Scale Autonomous AI Without Surrendering Control or Safety
Paperback
Business GeneralGeneral Computers
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Publisher: Independently Published
Pages: 156
Weight: 0.48
Height: 0.33 Width: 6.00 Depth: 9.00
Language: English
AI is no longer merely generating answers. It is planning, selecting tools, modifying systems, communicating, and executing decisions at machine speed.
The leadership question is no longer: Can AI make the decision? It is: What should prevent that decision from executing when it exceeds the authority we intended to grant?
When AI Creates Its Own Agenda offers a pragmatic alternative to both AI alarmism and blind adoption. It explains how generative and agentic AI actually work, why probabilistic intelligence produces extraordinary capabilities as well as unavoidable uncertainty, and what organizations must do before autonomous systems are trusted with consequential authority.
David Brennan draws a critical distinction between AI capability and delegated authority. An AI system may be capable of taking an action without being authorized to take it. Yet across many industries, the same probabilistic system that recommends an action is increasingly becoming the final authority before execution.
This book introduces a more mature model of agentic-AI governance: the demonstrated ability to define, enforce, verify, and continuously adapt the authority granted to autonomous AI systems - before consequential actions execute and throughout the system's operational life.
Inside this book, you will learn how to:
- Understand the practical implications of non-deterministic, probabilistic AI
- Recognize when an AI system begins pursuing an operational agenda that diverges from its intended objective
- Separate intelligence, recommendations, authority, and execution
- Determine whether your organization's AI governance is truly mature or merely documented
- Address the limitations of policies, monitoring, confidence scores, and human-in-the-loop review
- Establish an independent control boundary capable of permitting, constraining, escalating, or blocking actions before execution
- Preserve decision evidence and identify Autonomous AI Drift(TM)
- Apply a practical 90-day roadmap for moving from policy statements to governed autonomy
David Brennan is an award-wining AI innovator, technologist, and enterprise operator with a history of turning breakthrough technologies into scalable businesses. Recipient of the Excellence in AI & Technology Leadership, AI Next Awards 2026.
Founding member leading the GTM strategy for VC-backed Quickoffice, scaling it from zero revenue to the #1 global productivity app and a foundational tech acquisition for Google Docs, Sheets, and Slides. At T-Mobile, his work included developing and launching the first in telecom an autonomous AI customer-support agent. Today, he is founder and CEO of H9AI and architect of NEXUS ADI(TM), a patent-pending Adaptive Decision Infrastructure designed to establish Decision Integrity before consequential automated and AI-driven actions execute. Drawing on his experience building technology businesses through global scale and deploying autonomous systems in the enterprise, Brennan brings a practical perspective connecting AI architecture with the operational realities facing CEOs, boards, technology leaders, risk executives, and builders.This is not a case for slowing AI. It is a guide to advancing it with greater confidence, accountability, and control.
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