Creating an Organisational AI Strategy

This is a 2-hour instructor-facilitated course that is delivered online, designed to help senior and executive leadership come up to speed with the current landscape of this exciting new technology. The course builds on the fundamentals as the foundation for creating a comprehensive AI Strategy.

Different types of Artificial Intelligence, such as Machine Learning and Generative AI are explored, before reviewing the two market leaders’ solutions—how they differ, and how they can be implemented securely in an organisation.

Chatbots and Assistants are explored, as well as the new area of Agentic AI—agents that can easily be set up to retrieve information or perform tasks; demonstrations are included for each of these, with discussion around potential use-cases.

Importantly, the course delves into the risks, issues and costs associated with using AI in an organisation, together with steps that can be taken to manage these.

Finally, time is spent exploring how AI can be implemented to align with, and support, overall business strategy. Keys steps and considerations are outlined to help attendees in becoming intentional about the use of GenAI, in order to gain real value from an investment.

The full PowerPoint slide deck will be provided to attendees after the session, forming a valuable guidance resource.

Topics Include:

The key concepts of A.I.

• Different types of AI explained.
• Overview of how Generative AI works; key terminology & concepts.
• Tokens – the basis of AI-usage costs.
• What are AI Models and why it’s important to understand the differences.
• Current state of AI progress, esp in the business context; market players

 The current tools available; pros & cons.

• Chatbots vs Assistants vs Agents - demos of each
• Prompting tips, for higher quality responses.
• GenAI - Image and video creation.

• Comparison of OpenAI ChatGPT and Microsoft Copilot

 Issues, risks & costs

• What AI is being used in your business? How to find out.
• Accuracy & hallucinations. Bias and other issues.
• Data leakage
• Potential impacts for stakeholders
• Security concerns
• Agent sprawl; agent bosses.

Business applications

• Alignment to business strategy
• Exploring use-cases.
• Build or buy? Current and emerging options.
• Connecting AI into your systems and other data sources.

Steps to your own AI Strategy

• Outline of main steps to building your strategy; key considerations
• Three tier model to support AI development in our organisation.
• How to create an AI Acceptable Use Policy; considerations.
• Realising the promised gains and ROI.
• Where is AI heading in next 6-12+ months? What to expect and how it may impact organisations.
• The future of work?