Why Do 85% of AI Projects Fail? And What Successful Leaders Do Differently.
Artificial Intelligence is reshaping industries—yet most AI initiatives never make it out of the pilot stage. They exceed budgets, face ethical backlash, or fail to integrate into real-world workflows. The problem isn’t the technology—it’s the management.
In Managing Innovative AI Projects, Jayakumar K R & Alain Abran deliver the first complete framework designed specifically for the unique complexities of AI. This isn’t another high-level theory book. It’s a practitioner’s guide, built on decades of experience, that equips you to:
- Classify AI projects—from incremental upgrades to disruptive agentic systems—& apply the right lifecycle for each.
- Embed risk management and ethical guardrails from day one, using actionable checklists and governance templates.
- Track what truly matters with tailored KPIs across technical, business, operational, and ethical dimensions.
- Scale AI responsibly—with clear guidance on human oversight, compliance, and model monitoring.
Packed with engineering process aids, ISO-standard frameworks, and phase-by-phase execution tools, this book is your blueprint for turning AI ambition into measurable outcomes. Whether you’re a project leader, C-suite executive, or technical practitioner, this guide will help you deliver AI that is not only innovative—but also trustworthy, scalable & successful.
Stop managing AI like traditional software. Start leading with confidence.
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Jayakumar K R, Alain Abran
Jayakumar K R is a passionate advocate for responsible AI adoption and its transformative potential across industries. With over three decades of experience spanning the evolution from client-server architectures to cloud-based enterprise solutions, he has made significant contributions to global software product development and deployment.
Having worked with leading organizations such as Bhaba Atomic Research Center, Tata Institute of Fundamental Research, Best & Crompton, and Ramco Systems, Jayakumar later founded Amitysoft Technologies, which delivers ERP and AI products and services to enterprises.
An early champion of software quality assurance, testing, and measurement, he pioneered innovative career paths in software quality and governance. Beginning his career in mainframe systems operations and programming at renowned computing research centres, Jayakumar brings both technical depth and strategic foresight to his work. He currently serves on the International Advisory Council of COSMIC—the Common Software Measurement International Consortium—where he leads the AI Task Force on Managing Innovative AI Projects.
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Prof. Alain Abran is an Emeritus Professor at École de Technologie Supérieure (ETS), University of Quebec (Canada). Before entering academia, he spent 20 years in the industry, contributing to information systems development and gaining deep practical experience. He has since devoted over two decades to teaching and research, becoming a pioneering figure in software engineering, particularly in software measurements.
He is a co-inventor of the COSMIC Function Point method—an advanced approach to functional size measurement that has been recognized as an international ISO standard. He played a foundational role in establishing COSMIC (Common Software Measurement International Consortium), where he continues to contribute in various capacities.
He has published extensively in leading academic journals and has guided numerous international research initiatives. Prof. Abran served as executive co-editor of the Guide to the Software Engineering Body of Knowledge (SWEBOK) (www.swebok.org), a globally recognized reference in the field. He is also the author of a number of books: Software Project Estimation and Software Metrics & Software Metrology, Software Maintenance Management: Evaluation & Continuous Improvements (all published by Wiley) & COSMIC Function Points: Theory & Advanced Practices (published by CRC Press).
