Agentic Assessments: Algorithms and Leadership (Paperback or Softback)
Language: English
Published by Ontario Publishing House, Toronto, on 10/9/2026, 2026
- Softcover
- New

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Agentic Assessments: Algorithms and Leadership.
Seller Inventory # BBS-9781068140778
- Title
- Agentic Assessments: Algorithms and Leadership (Paperback or Softback)
- Author
- Shermon, Ganesh
- Publisher
- Ontario Publishing House, Toronto, on 10/9/2026
- Publication year
- 2026
- Condition
- New
- Book Type
- Book
- Binding
- Paperback or Softback
- Language
- English
- ISBN 10
- 1068140771
- ISBN 13
- 9781068140778
- Edition
- 3rd Edition
- Item weight
- 2.93 pounds
Agentic Assessments: Algorithms and Leadership
A pioneering guide for professionals entering the new frontier of leadership assessment, where AI agents and algorithms converge with traditional Competency Based Assessment and Development Centers to transform how leaders are observed, evaluated and developed. Leadership assessment is entering a fundamentally new and different era.
This book argues that the assessment center is evolving from a human-mediated evaluation event into a dynamic agentic environment. A third presence now enters the assessment room alongside candidate and assessor, the AI agent.
The book presents a five-layer architecture, Human Candidate, Agentic Simulation, AI Interpretation, Algorithmic Evidence, and Human Governance, where machines create responsive organizational conditions, algorithms structure evidence, AI interprets behavioral patterns, and human professionals retain interpretive authority and accountability.
The book presents a comprehensive 16-hour, two-day Agentic Leadership Assessment Center where three forms of intelligence operate together.
Sixty comprehensive validated simulations and cases are ready to adapt and use in Leadership Assessment, each accompanied by an explanation of how agents would conduct, observe and score the exercise.
Human-defined competencies and professional assessment methodology establish what leadership means and what evidence is required. Algorithms organize, analyze and structure behavioral evidence. Artificial intelligence reads language and classifies behavior into evidence. Agents create situations, adapt them to each candidate's decisions and keep the assessment moving. Trained assessors observe, record disagreements openly and make the final overall assessment. Agentic AI creates and manages dynamic simulations, interacts with participants, introduces information and challenges, adapts scenarios and connects evidence across exercises. Human assessors remain responsible for professional interpretation, contextual judgment, calibration and final assessment.
Complete instructions are provided for five agents, the Simulation, Observer, Orchestrator, Calibration and Governance agents. Minute-by-minute schedules cover both days, with a rotation plan for twelve participants and specifications for rooms, equipment and network infrastructure required to operate the assessment center.
Drawing on established science and practice in Assessment and Development Centers, this book develops a new conception of Leadership Assessment as a dynamic organizational behavioral laboratory. Rather than relying solely on static exercises, standardized interviews and retrospective judgments, the Agentic Leader creates evolving situations in which information changes, stakeholders respond, algorithms generate recommendations, AI agents simulate organizational actors, uncertainty increases and decisions produce consequences.
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