The Insider You Built
How Organizations Stay in Control of Autonomous AI Agents
AI is moving from answering questions to taking action. This book shows leaders, teams, and individuals how to get real value from AI without giving up control.
By Camille Stewart Gloster, former Deputy National Cyber Director at the White House.
Available September 15, 2026 from Wiley.
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What is the ACE Framework?
The Authority-Centered Enforcement (ACE) Framework is a practical governance architecture for the age of delegated authority.
Rather than treating governance as policy layered on after deployment, ACE helps organizations embed control inside execution. It gives leaders a way to define, bound, trace, and intervene as AI systems gain the ability to plan, decide, and act across workflows.
ACE is built for the shift from governance of systems to governance within systems.
ACE helps organizations:
Bound authority
Trace decisions
Embed governance into execution
Intervene at runtime
Learn faster than risk accumulates
Preserve accountability at scale
Governance becomes a living capability that operates alongside increasingly autonomous systems.
Together these capabilities transform governance from a static compliance exercise into a continuous operational discipline.
The goal is simple: Help institutions retain control of outcomes even when software operates with delegated authority.
The New Rules of Control
We are moving from governance of systems to governance within systems.
AI AS AN OPERATIONAL ACTOR
AI systems increasingly plan, decide, and act inside operational workflows rather than simply generating outputs.
GOVERNED EXECUTION
Governance must operate within execution through runtime constraints, attribution, and intervention.
DELEGATED AUTHORITY
Every AI system given authority to act requires governance over what it can do, under what conditions, and with whose approval.
DISTRIBUTED ACCOUNTABILITY
As AI systems gain authority, accountability expands beyond builders to the people responsible for outcomes.
This book gives every reader a way to find their role in that shift, whether they are identifying where constraints are needed, managing a hybrid team of humans and agents, overseeing an AI tool they deployed, or building the capabilities that turn AI into measurable value.
The ROI of Governance
Governance is not overhead. It is the operating system for AI performance.
The return on AI is not unlocked by deploying more models, adding more tools, or expanding access alone. It is unlocked by mastering delegated authority: deciding what AI is allowed to do, under what conditions, with what visibility, and how intervention occurs when outcomes diverge from intent.
That means redesigning how work flows across people, AI, data, and systems; investing in the capabilities that create both value and control; and building the organizational muscle memory to adapt as autonomy scales.
The ACE Governance Framework helps organizations turn governance from a compliance exercise into an operational capability. It gives leaders, operators, builders, security teams, and nontechnical owners a shared way to understand their role in the whole: where authority is being delegated, where constraints are needed, which capabilities require investment, and how teams must coordinate as AI changes the speed and shape of work.
By applying ACE, organizations move beyond managing isolated tools and begin governing outcomes across the whole system. Security teams can connect familiar concerns such as identity, access, patching, telemetry, incident response, and threat modeling to the realities of autonomous systems. Business and functional owners can learn how to engage the right teams, identify where constraints belong, and build the judgment required to manage AI-enabled work responsibly.
This book provides the systems-level clarity to see how authority flows, where control breaks down, and how every role can contribute to building organizations that remain adaptive, resilient, and high-performing in an age where intelligence increasingly acts rather than merely advises.
Bonus Chapter:
AI in Everyday Life
Control Is Not Just an Enterprise Challenge
This bonus chapter extends the book’s governance framework beyond the enterprise and into everyday life, helping readers navigate a world where AI systems increasingly filter information, coordinate decisions, make purchases, manage schedules, and act on their behalf.
Through the Personal ACE (P-ACE) framework, readers gain a practical way to think about delegation, trust, accountability, and personal control in the age of AI agents.
As AI becomes more capable, the question is no longer whether these systems will influence your choices. It is how intentionally you will decide what authority to give them.
What should an AI agent be allowed to do on your behalf?
How do you maintain visibility into decisions made for you?
How do you stay competitive and benefit from AI without giving away agency?
This chapter helps readers answer those questions and remain firmly in control of the future they are building.
Available for download with purchase.
This book is for anyone trying to stay in control as AI becomes part of how work gets done, decisions get made, and trust gets assigned.
Who This Book Is For
Enterprise Leaders
Navigating AI adoption without losing operational control.
Builders & Product Teams
Designing systems that scale trust alongside capability.
Educators & Practitioners
Preparing organizations and people for a world shaped by delegated authority.
Security, Safety, & Risk Teams
Embedding governance into execution rather than reacting after failure.
Business & Operations Leaders
Operationalizing AI without losing visibility, accountability, or control.
Investors & Boards
Evaluating governability as a strategic advantage.
For workers, managers, students, parents, creators, and professionals who want to understand what AI is changing, where their judgment still matters, and how to get real value from these tools without giving up control.
Everyone Navigating AI
“As software gains the ability to act on behalf of people and institutions, organizations will need more than policies. They will need governance capable of operating at the speed of the systems themselves.”