The Day
This day is designed to help senior leaders understand what AI is, what the terminology means, and how the capability can be applied to real leisure leadership work. Tools such as ChatGPT and Claude will be used for live examples, but the purpose is wider than a product tutorial. Attendees will see how AI can support personal productivity, leadership preparation, research, finance, marketing, communications and decision-making, using practical workflows they can adapt to their own roles.
The programme is structured as a series of practical sessions rather than a fixed minute-by-minute timetable. This gives space to spend longer on the most valuable demonstrations and move quickly through areas that need less time. Breaks and lunch will be built into the day.
We start by making AI easier to understand. This session explains the main concepts leaders need to know, including machine learning, generative AI, models, assistants, agents and tools. Attendees will leave with a clearer view of what AI can and cannot do, how to assess new claims, and why ChatGPT is one way of accessing AI rather than the whole story.
AI can quickly become buried in unfamiliar terminology. This session introduces the terms leaders are most likely to hear, including model, context, tokens, hallucination, multimodal, RAG, agent and MCP. The aim is not to make anyone technical. It is to give attendees enough language to understand the conversation, ask better questions and make more confident decisions.
This is where AI becomes tangible. Using OpenAI's tools as the live vehicle, we will walk through examples from a senior leisure leader's working day: preparing for meetings, reviewing diary pressure, identifying emails that need decisions, drafting replies, finding useful context and preparing for board or executive conversations. Attendees will see how AI can support the flow of real work rather than sit apart from it.
AI becomes more useful when it understands the person using it. This session explores personalisation, memory, working preferences and model choice. Attendees will see how an AI assistant can ask the right questions about their role, priorities, communication style and decision-making preferences, then use that context to produce more relevant support.
This session explores how connected apps and files change what AI can do. We will look at how tools can work with email, calendar, documents and knowledge sources in simple, permission-aware ways. Attendees will understand how AI can help find context, prepare materials and summarise information without turning the process into a technical project.
Rather than asking AI from scratch every time, leaders can create reusable ways of working. This session focuses on skills, saved instructions and structured workflows that help produce more consistent outputs. Examples may include board updates, briefing notes, meeting preparation, marketing reviews, policy summaries and follow-up communication.
The day comes together through practical demonstrations across the kinds of work senior leisure leaders actually do. We will look at how AI can support finance questions, marketing review, research, service planning, operational analysis, organisational voice and management preparation. Attendees will leave with examples they can adapt to their own organisation.
The final session looks at what comes next. We will discuss how leaders can build confidence through personal use before considering wider team adoption, shared standards, connected systems and more agentic ways of working. Attendees will leave with a sensible view of what to try first, what to avoid and how to approach AI in a practical, responsible way.
By the end of the day