Synopsis
Fractional business leaders play a critical role in guiding companies through transformation, and AI adoption is no exception. This course equips fractional leaders with the knowledge and skills to advise business owners on leveraging AI effectively. Participants will learn about the strategic integration of AI, how to communicate AI’s value to C-level leaders, and practical deployment methods. The course will cover AI concepts, implementation strategies, and effective communication techniques to influence decision-making.
Learning Objectives
By the end of this course, participants will be able to:
- Understand the key components of AI and how they impact business strategy.
- Advise business owners on integrating AI into organizational processes.
- Facilitate conversations between technical teams and executive leadership.
- Guide businesses through the AI adoption journey while managing expectations and risks.
- Communicate complex AI concepts clearly to non-technical stakeholders.
- Monitor and evaluate AI initiatives to ensure they meet strategic objectives.
Course Modules
Module 1: Understanding AI’s Strategic Value in Business
- Why AI Matters: Transformative Potential for Business Operations
- Identifying Strategic AI Use Cases: From Automation to Insight Generation
- Real-World Success Stories of AI-Driven Business Transformations
- Activity: Case Study Analysis: AI Success and Failure Stories
Module 2: Advising on AI Strategy and Adoption
- Strategic Integration: Aligning AI Initiatives with Business Objectives
- Managing AI Risks: Ethical Considerations and Compliance
- Building an AI Roadmap: Key Steps for Implementation
- Activity: Group Exercise: Developing a High-Level AI Strategy
Module 3: Core Components of AI for Business Leaders
- Demystifying AI: Understanding Machine Learning, LLMs, and Predictive Analytics
- The Data Foundation: Ensuring Data Quality and Availability
- AI Maturity Models: Assessing Readiness for Adoption
- Activity: Self-Assessment: Evaluate Your Client’s AI Maturity
Module 4: Effective Communication to Business Leaders
- Translating Technical Concepts into Business Language
- Presenting AI Initiatives: Gaining Buy-In from Non-Technical Stakeholders
- Storytelling with Data: Making Insights Clear and Actionable
- Activity: Role-Playing Exercise: Pitching an AI Initiative to the C-Suite
Module 5: Implementing AI in Client Organizations
- Step-by-Step Guide to Launching AI Projects
- Building a Cross-Functional Team: Collaboration Between IT and Business Units
- Best Practices for Pilot Projects and Scaling Up
- Activity: Workshop: Create an Implementation Plan for a Hypothetical Client
Module 6: Monitoring and Continuous Improvement
- Setting Performance Metrics: Tracking ROI and AI Effectiveness
- Governance and Compliance: Mitigating Risks During Implementation
- Reviewing AI Outcomes: Ensuring Alignment with Business Strategy
- Activity: Simulation: Identifying Red Flags in AI Project Monitoring
Module 7: Communicating Challenges and Managing Expectations
- Addressing Resistance: Handling Skepticism and Doubts
- Communicating Failures and Learning Points: Framing Setbacks Constructively
- Guiding Leaders on Long-Term AI Strategy Amid Changing Trends
- Activity: Group Discussion: Handling AI Setbacks in Advisory Roles
Module 8: Workshop: Crafting an AI Advisory Plan
- Applying the SHIELD Framework for Structured AI Advisory
- Presenting AI Strategies in a Way That Resonates with Business Leaders
- Peer Review and Feedback on Drafted AI Advisory Plans
- Activity: Strategy Pitch: Present a Tailored AI Adoption Plan
Assessment and Certification
- Knowledge Checkpoints: Quizzes after each module
- Final Project: Developing an AI Adoption and Communication Plan
- Certification of Completion for those who demonstrate a practical understanding of the course content