AI & Generative AI for Business Leaders: From Strategy to Agentic AI Execution
Empower business leaders to leverage AI and generative AI—from strategic planning to practical agentic AI execution that drives innovation and results.
April
07,
2026
11:00 AM - 02:00 PM (Eastern Time)
Duration: 1 Day
Hours: 3 Hours
Training Level: All Levels
About the Course:
This course is designed for business leaders, managers, and decision-makers who want to understand Artificial Intelligence and Generative AI from a practical, business-first lens, without getting lost in code or jargon.
Participants will learn how Generative AI is reshaping business models, workforce dynamics, and decision-making. The course moves step-by-step from foundational concepts to strategic planning, organizational readiness, governance, and finally into Agentic AI systems, culminating in a real-world project.
The focus is on thinking, evaluating, and leading AI initiatives, not building algorithms.
Course Objectives:
By the end of this course, participants will be able to:
- Understand what Generative AI and Agentic AI really mean for businesses.
- Think strategically about AI adoption instead of chasing trends.
- Identify high-impact business problems suitable for AI solutions.
- Prepare people, processes, and platforms for AI readiness.
- Evaluate AI vendors and solutions with confidence.
- Address ethical, governance, and risk challenges realistically.
- Design a clear Generative AI and Agentic AI roadmap.
- Confidently lead AI initiatives within their organization.
Who is the Target Audience?
This course is ideal for:
- Business Leaders & CXOs.
- Product Managers.
- Program & Project Managers.
- Consulting Professionals.
- Strategy & Transformation Leaders.
- Operations & Finance Leaders.
- HR & L&D Heads.
- Entrepreneurs & Startup Founders.
- Senior Managers transitioning into AI-driven roles.
- No prior technical or coding background required.
Basic Knowledge:
Participants should have:
- A general understanding of how businesses operate.
- Familiarity with digital tools (ERP, CRM, dashboards, automation tools).
- Exposure to concepts like data, analytics, or digital transformation (helpful but not mandatory).
- An interest in business strategy, efficiency, and innovation.
- No programming, math, or AI background is expected.
Curriculum
Total Duration: 3 Hours
Introduction to Generative AI
- What AI and Generative AI are (in simple business terms)
- How Generative AI differs from traditional automation
- Why Generative AI matters now
How to Think about Generative AI from a Business Perspective
- AI as a business capability, not a technology project
- Value creation vs cost reduction
- Competitive advantage and differentiation
Launching Generative AI for Your Business
- Starting small vs scaling fast
- Internal pilots and proof of value
- Common leadership mistakes during launch
Ensuring You Have the Right Human Capital for GenAI Adoption
- New roles and skill shifts
- Business users vs AI specialists
- Change management and workforce readiness
Process to Ready the Business for Generative AI
- Process maturity and AI readiness
- Where AI fits into existing workflows
- Redesigning processes for AI collaboration
Platforms to Ready the Business for Generative AI
- AI platforms, data platforms, and cloud ecosystems
- Build vs buy decisions
- Integration with enterprise systems
Generative AI: Savior or Saboteur of the Digital Workforce?
- Productivity gains vs job displacement fears
- Augmentation vs automation
- Managing cultural resistance
Build a Generative AI Strategy and Project Roadmap
- Aligning AI with business goals
- Prioritization frameworks
- Short-term wins and long-term vision
Agentic AI – Is Your Organization Ready?
- What Agentic AI really is
- How it differs from chatbots and copilots
- Organizational readiness signals
Technical Essentials You Need (Minus the Coding)
- Models, data, APIs, and orchestration (conceptual view)
- What leaders must understand vs what they can delegate
- Asking the right technical questions
Spotting the Right Problems for Agentic AI
- Characteristics of good Agentic AI use cases
- Decision-heavy and workflow-heavy problems
- Red flags and poor candidates
Evaluating Solutions and Talking Tech
- How to evaluate vendors and proposals
- Translating technical claims into business value
- Avoiding hype-driven decisions
Ethics, Governance, and Risk in the Real World
- Data privacy and compliance
- Bias, hallucinations, and accountability
- Setting up governance without slowing innovation
Your Agentic AI Roadmap
- Phased adoption approach
- KPIs and success metrics
- Sustaining and scaling Agentic AI initiatives
Project: Agentic Expense Reporting System
- Business problem overview
- Agentic workflow design
- Decision points and controls
- Expected business outcomes
- Lessons for enterprise-wide replication