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.