Thinking in AI for Managers : Redesigning Work, Roles and Autonomy, One Team at a Time
Language: English
Published by Amazon Digital Services LLC - Kdp Sep 2026, 2026
Series: Book 3 of 6 - Thinking in AI
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 32.34
Quantity: 2 available
Add to basketItem description from seller
Neuware - You have been told to 'use AI more'. Nobody told you which of your team's tasks go to AI, which need a signature, and which stay with people. Thinking in AI for Managers is the department head's and process owner's method: inventory the work at the right granularity, sort every task into the four groups (AI does it; AI does, people approve; AI and people together; people do it), name the binding effect before you call anything Group 2, set an autonomy level by the consequence of a wrong result, write the request to IT as what the person sees - not which vendor - run the shadow run that is never shortened, measure honestly including the number that went the wrong way, and redeploy before you hire. The running case is Mark Sullivan's purchasing department at Oakridge Manufacturing: 212 reorders a day, twelve buyers, a register of 61 tasks, 1,120 hours a month freed and placed before anyone was hired. After this book you will be able to: - Build a task inventory and classify every line into one of four groups with a written reason- Set an autonomy level per task using four questions, with a review clause that steps back automatically- Write a buildable request to IT: what AI does, what the person sees, what a signature means, acceptance criteria- Take a baseline before the vendor and report before/after with three numbers- Run a 90-day pilot with a stop rule, cohorts and a shadow run- Rebuild roles from the register and hold the redeployment conversation with specifics- Run the thirty-minute morning: exceptions by type, the report, rules changed - never single cases16 chapters, an inventory and classification worksheet, an autonomy rule template, a 90-day pilot plan and self-tests with answer keys. Book 3 of the Thinking in AI series. In this series: 1 The Foundations - 2 Thinking in AI for Leaders - 3 Thinking in AI for Managers - 4 Thinking in AI at Work - 5 Thinking in Agents and AI-Native Systems - 6 The AI-Native Casebook.…
Seller Inventory # 9798172222405
- Title
- Thinking in AI for Managers : Redesigning Work, Roles and Autonomy, One Team at a Time
- Author
- Vu Tri Cong Mobiluck - Code247 Ai
- Publisher
- Amazon Digital Services LLC - Kdp Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798172222405
- Item weight
- 245 grams
- Dimensions
- 229x152x10 mm
- Series
- Book 3 of 6: Thinking in AI
You have been told to 'use AI more'. Nobody told you which of your team's tasks go to AI, which need a signature, and which stay with people.
Thinking in AI for Managers is the department head's and process owner's method: inventory the work at the right granularity, sort every task into the four groups (AI does it; AI does, people approve; AI and people together; people do it), name the binding effect before you call anything Group 2, set an autonomy level by the consequence of a wrong result, write the request to IT as what the person sees — not which vendor — run the shadow run that is never shortened, measure honestly including the number that went the wrong way, and redeploy before you hire.
The running case is Mark Sullivan's purchasing department at Oakridge Manufacturing: 212 reorders a day, twelve buyers, a register of 61 tasks, 1,120 hours a month freed and placed before anyone was hired.
After this book you will be able to:
- Build a task inventory and classify every line into one of four groups with a written reason
- Set an autonomy level per task using four questions, with a review clause that steps back automatically
- Write a buildable request to IT: what AI does, what the person sees, what a signature means, acceptance criteria
- Take a baseline before the vendor and report before/after with three numbers
- Run a 90-day pilot with a stop rule, cohorts and a shadow run
- Rebuild roles from the register and hold the redeployment conversation with specifics
- Run the thirty-minute morning: exceptions by type, the report, rules changed — never single cases
In this series: 1 The Foundations · 2 Thinking in AI for Leaders · 3 Thinking in AI for Managers · 4 Thinking in AI at Work · 5 Thinking in Agents and AI-Native Systems · 6 The AI-Native Casebook.
"Synopsis" may belong to another edition of this title.
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