AI Strategy & Leadership for Business Managers
Artificial Intelligence is transforming how organizations operate, make decisions, and manage their workforce. This practical course provides business leaders and managers with an understanding of how AI can be identified, evaluated, implemented, and managed within their organizations. Participants will explore AI opportunities, use-case prioritization, business value and ROI, AI-assisted managerial productivity, human-AI collaboration, and workflow transformation. The course also addresses responsible AI, governance, risk management, employee adoption, and change management. Through practical exercises and a capstone activity, participants will develop an initial AI adoption plan for a real business or team challenge, enabling them to make informed decisions and lead effective AI adoption within their organization.
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About this course
Artificial Intelligence is transforming how organizations operate, make decisions, and manage their workforce. This practical course provides business leaders and managers with an understanding of how AI can be identified, evaluated, implemented, and managed within their organizations. Participants will explore AI opportunities, use-case prioritization, business value and ROI, AI-assisted managerial productivity, human-AI collaboration, and workflow transformation. The course also addresses responsible AI, governance, risk management, employee adoption, and change management. Through practical exercises and a capstone activity, participants will develop an initial AI adoption plan for a real business or team challenge, enabling them to make informed decisions and lead effective AI adoption within their organization.
What you'll learn
- Understand how AI and Generative AI are transforming business and the workforce
- Identify and prioritize valuable AI opportunities
- Evaluate AI investments, business value, costs, benefits, and potential ROI
- Use AI to improve managerial productivity and decision-making
- Identify automation and AI-assisted workflow opportunities
- Lead AI-enabled teams and manage workplace transformation
- Build effective human-AI collaboration models
- Recognize AI risks and apply responsible AI practices
- Develop practical AI governance and risk management guidelines
- Manage employee adoption, resistance, reskilling, and change
- Develop an initial AI implementation and adoption roadmap
Course Contents
Module One: AI & the Future of Work
- Understanding Artificial Intelligence and Generative AI
- AI's Impact on Jobs, Workflows, and Business Functions
- Current AI Opportunities for Organizations
- What Managers Need to Understand About AI
- Workforce Transformation and Human-AI Collaboration
Module Two: Identifying AI Opportunities
- Identifying Repetitive, High-Volume, and Information-Heavy Tasks
- Evaluating AI Opportunities by Business Value, Cost, Complexity, and Risk
- Assessing Employee Impact and Feasibility
- Identifying Automation and AI-Assisted Workflows
- AI Use-Case Identification Exercise
Module Three: AI Strategy, Prioritization & ROI
- AI Strategy Fundamentals
- Evaluating and Prioritizing AI Use Cases
- Build, Buy, or Adopt AI Solutions
- Developing AI Business Cases
- Estimating AI Costs, Benefits, and ROI
- Creating an AI Implementation Roadmap
Module Four: AI for Managerial Productivity & Decision-Making
- Executive Research and Information Synthesis
- AI-Assisted Reports and Business Communication
- Meeting Preparation and Summarization
- Decision Preparation and Scenario Analysis
- Project Planning and Knowledge Management
- Performance Reviews and Employee Development
- Practical Managerial AI Exercise
Module Five: Leading AI-Powered Teams & Change
- Redesigning Workflows for Human-AI Collaboration
- Delegating Tasks to AI and AI-Assisted Tools
- Managing AI-Augmented Employees and Teams
- Measuring Productivity and Work Quality
- Reskilling and Preparing Employees for AI-Enabled Work
- Managing Employee Resistance to AI Adoption
- Communicating AI Transformation and Building AI Champions
Module Six: AI Governance, Risk & Responsible Use
- Data Privacy and Confidential Information
- Cybersecurity and AI-Related Risks
- Compliance and Responsible AI Use
- Bias, Hallucinations, and AI Reliability
- Human Oversight and Decision Accountability
- Developing Practical AI Governance Guidelines
Module Seven: AI Implementation Capstone
- Select a Real Business or Team Challenge
- Identify and Prioritize an AI Use Case
- Define Business Value and Expected ROI
- Design an AI-Assisted Workflow or Solution
- Identify Risks, Controls, and Human Oversight
- Develop Initial Implementation Actions
- Present the AI Adoption Plan
Who Should Attend
- CEOs and Business Owners
- Directors and Senior Managers
- Department Heads and Operations Managers
- Team Leaders and Supervisors
- HR and People Leaders
- Project and Program Managers
- Finance, Sales, and Marketing Leaders
- Business Analysts and Consultants
- Digital Transformation and Innovation Professionals
- Managers responsible for AI adoption or business improvement
Prerequisites
None
Course Materials
Attendees will receive a course manual with presentation slides, reference materials, practical exercises, and capstone activity resources.
Technical Requirements
- Internet access for accessing AI tools and downloading course materials
- Supported Devices: Laptop, Tablet, Smartphone
- Access to commonly used AI tools and web-based productivity applications
Live Course Price
USD 699
Duration
1 Day
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