Generative AI for Business: From Hype to Implementation

Half day Workshop

Course Overview

Generative AI has moved from novelty to necessity. In this practical session, leaders will cut through the noise to understand what generative AI can genuinely deliver for their organisation. We examine the capabilities and limitations of large language models, explore real deployment scenarios across industries, and address the critical questions of when to build, buy, or wait.

Session Outline

1. Generative AI Demystified

What generative AI actually is (and isn’t)
Large language models, image generation, and multimodal AI
The technology landscape: key players and platforms

2. Business Applications That Deliver Value

Content creation and knowledge management
Customer service transformation
Code generation and developer productivity
Document analysis and synthesis
Where generative AI struggles: current limitations

3. Implementation Considerations

Build vs. buy vs. API decisions
Data requirements and privacy implications
Integration with existing systems
Cost structures and ROI measurement

4. Risk and Governance

Hallucination and accuracy concerns
Intellectual property and copyright issues
Workforce implications and change management
Developing an AI acceptable use policy

5. Interactive Exercise: Opportunity Assessment

Participants identify three potential use cases
Evaluate feasibility, impact, and risk
Develop a recommendation for leadership

Outcomes for Participants

Distinguish between genuine capability and marketing hype
Identify high-value generative AI applications for their context
Understand the key risks and mitigation strategies
Articulate a business case for generative AI initiatives