The AI-Assisted Project Management Framework
A Guide for Ethical, Efficient and Effective Human-AI Collaboration in Projects
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The AI-Assisted Project Management Framework equips project leaders, governance teams, and change managers with a comprehensive, ethical, and practical approach to embedding AI tools into the project life cycle. Whether you're a seasoned Project Manager, Program Manager, PMO Leader, or IT Project Lead, this book provides a step-by-step guide to transforming your project processes and outcomes. The Framework offers actionable insights to harness AI's potential while maintaining human oversight and ethical responsibility. Key Features:A thorough exploration of the principles, values, and behavio...
The AI-Assisted Project Management Framework equips project leaders, governance teams, and change managers with a comprehensive, ethical, and practical approach to embedding AI tools into the project life cycle. Whether you're a seasoned Project Manager, Program Manager, PMO Leader, or IT Project Lead, this book provides a step-by-step guide to transforming your project processes and outcomes. The Framework offers actionable insights to harness AI's potential while maintaining human oversight and ethical responsibility. Key Features:A thorough exploration of the principles, values, and behaviours that underpin ethical, efficient and effective AI use in projects. Framework Project Life Cycle stages - Foundation, Activation, and Evaluation - to guide AI integration throughout the project life cycle. Templates and checklists, including an AI Assistance Plan, Data Readiness Assessment, and Lessons Learned Register, to streamline adoption and provide assurance to project stakeholders. Guidance on overcoming challenges in AI-assisted projects, such as data quality issues, ethical risks, and team resistance. Who this Book is For The Framework was created with a wide range of professionals in mind, reflecting the diverse roles that contribute to successful projects.Project Managers: Gain a clear roadmap for integrating AI tools into project planning, execution, and review while maintaining accountability. PMO (Project Management Office) Leaders: Drive consistency in AI adoption across projects within your organisation, enabling improved outcomes and enhanced governance. Portfolio and Program Managers: Assess the broader impact of AI-assisted projects, ensuring alignment with strategic objectives and portfolio-wide goals. Internal Auditors and External Auditors: The framework's governance structures provide them with a roadmap to providing objective and independent assurance regarding the ethical, efficient and effective use of AI in projects. Governance and Risk Management Professionals: Utilise the framework's principles and deliverables to manage AI-related risks and uphold organisational accountability. Data Analysts and Scientists: Understand how your expertise in data quality and analysis fits into the Framework's guidelines. AI and Technology Specialists: Collaborate effectively with project teams to ensure AI tools are implemented and governed effectively. Organisational Leaders and Executives: Gain insight into how ethical, efficient and effective AI adoption in projects should be governed. Whether you're leading small teams or managing complex portfolios, The AI-Assisted Project Management Framework is your essential guide for successful Human-AI collaboration in projects. Emanuela Giangregorio is the founder of the AI-Assisted Project Management Framework. She has over 20 years experience in Project Management, and practices as a trainer, coach, author and thought leader. She has trained thousands of people around the world and has a knack for explaining complex topics simply. Emanuela inspires individuals and teams through her experience, unique perspectives and passion for innovation and continuous improvement.
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