Master the complexities of enterprise AI projects with The CPMAI Framework in Action. This practical guide provides a comprehensive roadmap for AI project management, governance, compliance, and risk control across the full AI lifecycle. Designed for AI project managers, data engineers, compliance officers, full-stack engineers, and DevOps professionals, this book delivers actionable strategies for building reliable, accountable, and scalable AI systems in real-world enterprise environments.
Inside, you will find:
A step-by-step framework integrating planning, data preparation, model development, deployment, monitoring, and decommissioning.
Proven workflows for AI governance, regulatory compliance, and risk mitigation, aligned with international standards including NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Detailed examples of project deliverables such as Risk Registers, Compliance Checklists, AI Readiness Scores, and audit logs.
Best practices for MLOps integration, automation, continuous monitoring, and performance evaluation.
Techniques for scaling AI across multiple projects, establishing an AI Project Management Office, and implementing continuous improvement loops.
Strategies for future-proofing your AI initiatives against emerging regulations and evolving enterprise standards.
The CPMAI approach bridges technical workflows, business objectives, and governance requirements, providing a holistic solution to the challenges that cause AI projects to fail. This book emphasizes practical application, giving you templates, tools, and actionable insights to ensure that AI initiatives deliver value, comply with regulations, and maintain operational integrity.
Whether you are launching your first AI project or managing a portfolio of enterprise systems, The CPMAI Framework in Action equips you with the frameworks, processes, and insights to execute AI projects confidently, responsibly, and successfully.