Managing AI Projects
Provides the First Complete Framework to Tackle the 85% Failure Rate in AI Initiatives.
This book synthesizes proven methodologies with emerging best practices across five critical dimensions.
- Project Typology: Classifies initiatives – from incremental optimizations. to disruptive breakthroughs – enabling targeted resource allocation.
- Adaptive Lifecycles: Introduces a rigour-scaled AI Project Life Cycle (APLC) that flexes to project risk profiles.
- Risk Mitigation: Systematically addresses technical, ethical, operational, and stakeholder risks through proactive safeguards.
- Performance Governance: Establishes Technical/Business/Operational/Ethical KPIs to quantitatively track progress and ROI.
- Execution Toolkits: Provides phase-specific tasks, typical metrics, and tool recommendations for real-world implementation.
This book provides a simple process centric framework for AI Project Management, which can be adopted and scaled for different types of AI.
Instead, these guidelines:
- Enable seasoned project managers to adopt, adapt, and deliver AI projects rapidly.
- Provide a process-driven approach to integrate a tailored AI Project Life Cycle (APLC) into your existing workflows.
- Highlight only the critical touchpoints, decision gates, and governance mechanisms unique to AI initiatives.
- Assume you already understand conventional project management.
Designed for
- Project Leaders scaling AI pilots to production.
- Technical Teams navigating model development trade-offs.
- Executives overseeing AI strategy and investment.
- Compliance Officers ensuring ethical alignment.
About the Author
Jayakumar K R and Prof. Alain Abran announce the release of their groundbreaking new book.
Jayakumar K R
He 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.
Jayakumar holds a Ph.D. from École de Technologie Supérieure – University of Quebec (Canada), along with several professional certifications. Deeply committed to mentoring students and emerging professionals, and an avid writer, he shares his insights regularly through his WordPress blog, blending thought leadership with practical guidance.
Prof. Alain Abran
He 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 (Common Software Measurement International Consortium) Function Point method—an advanced approach to functional size measurement that has been recognized as an ISO standard. He played a foundational role in establishing COSMIC, 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, Software Metrics C Software Metrology, Software Maintenance Management: Evaluation & Continuous Improvements (all published by Wiley) and COSMIC Function Points: Theory C Advanced Practices (published by CRC Press).
Prof. Abran’s work continues to shape the global discourse on software engineering and AI project management, and his contributions remain a cornerstone for practitioners and researchers alike.