In editing ยท seeking a publisher

Take the Call

Keeping Your Judgment and Your Accountability as AI Moves Into the Workforce
AI can do the work. It cannot take the call.

As AI takes on more of the work, the easy thing to hand over along with it is the judgment. But the accountability does not move with the labor. When an AI-influenced decision goes wrong, the name on it is still yours. This is a book about staying in the seat where the decision gets made.

From the opening

A woman in Michigan had just finished her training to become a police officer in Detroit. Then she failed the background check, and the job went away. What the check had flagged was a finding of fraud. Years earlier she had collected unemployment benefits, and a state computer system had decided, on its own, that she had lied to get them. She had never been told. No person had ever looked at her case. No human had decided anything about her at all.

The system was called MiDAS. In the same stretch, the agency laid off nearly its entire fraud-detection unit. The humans who used to make the call were gone, and the call still had been made. It was made wrong most of the time: roughly forty thousand people wrongfully accused, a false-determination rate later placed between eighty-five and ninety-three percent, at least eleven thousand families in bankruptcy. The one thing that finally fixed the machine was the simplest thing imaginable. Put a person back into the decision.

That is the whole of this book in a single case. A consequential judgment was delegated to a system with no accountable human owner, and the cost fell on people who were never in the room where it was decided, because by then there was no room and no one in it. This book is about that room, and about the person who is supposed to be standing in it. It is about the call.

The argument

The targeting is real. The exacting expert, the professional watching the crosshairs climb into their craft, the veteran deciding whether to wait it out: all three can feel the dot on their chest, and they are usually the ones being told they have nothing to worry about. But being aimed at is not the same as being replaced. What the model cannot do is the one thing the work cannot proceed without.

A model holds a context window. A person holds the context.

The read, the sense of what a situation actually is, of which detail is load-bearing and when the technically correct answer is the wrong one for this person right now, is built only by spending a working life in contact with other people and real consequences. Take the Call is about keeping that read in the seat where decisions are made, holding the line on what only a person can own, and staying accountable in a moment that keeps offering to decide for you.

The chapters
1
The Bullseye
Who is actually in AI's crosshairs, and why being aimed at is not the same as being replaced.
2
Literacy Is Not Competency
Why the market measures AI literacy, and why finishing the modules is not the skill that matters.
3
The Wrong Conversations
While institutions debate whether to allow the tool, the consequential decision is already being made downstream, by someone who was never told it was theirs.
4
The New Exposure
What changes when AI stops advising and starts acting, and the risk that opens when an agent can take the action itself.
5
What They Say, What They Reward
Every institution runs on two sets of signals, and they do not have to agree. People follow the one that pays.
6
Owning the Decision
The discipline that operates against the structure pulling the decision away from you.
7
Both Ends of the Line
How the same tool produces two opposite mistakes at the two ends of a working life.
8
The Gap
A NIST proof that no finite set of guardrails can ever be complete, and what that settles about who has to stay in the loop.
Conclusion
Where the accountability finally lands. On you.
Who it is for

For the professional who can feel the crosshairs. The exacting expert whose precision was a moat and is watching a tool approximate its surface. The professional one level up from form-filling, watching the work climb toward the machine. And the veteran near the end of a long career, whose judgment the whole institution has quietly been relying on, deciding whether to stay in it or set it down. One question wearing three faces. No technical background required; the argument is about judgment and accountability, not code.

About the author
Thomas Tornatore

Thomas Tornatore spent more than twenty-five years inside organizations where accountability was not optional, in regulated finance, large-scale security, logistics, and technology. He is the founder of Fellowship Intelligence, an AI governance and control-layer advisory firm, and the publisher of The Evolving Mindset. His writing is cited in Sougata Roy's Disposition Protocol, an enterprise AI governance framework. Take the Call and its companion volume, The Wrong Default, carry one argument into two audiences.

For agents and publishers

Take the Call is a complete draft in editing, seeking representation. A full manuscript and proposal are available on request.

Its companion volume, for the parent, the teacher, and the leader, is The Wrong Default.