Senior Executive: Ready for AI transformation of business

You have spent decades building the judgement to make decisions other people can't — about where to invest, what to trust, and when to say no. AI does not change what that judgement is for; it changes what you need to know to apply it well. This programme is built to give you that, without asking you to become a data scientist. You need to know what question to ask, what red flag to spot, and what good looks like! Every topic is taught the way you actually make decisions: through a real business case, a real dilemma, and the questions a sharp leader would ask before committing budget or reputation to it. There is no code, no equations, and no assumption that you come from a technical or even a single industry background — the case studies span retail, finance, healthcare, manufacturing, logistics, and professional services, because the patterns that matter repeat across all of them. You’ll learn to build a compelling AI business case and quantify return on investment through practical examples. These may include reducing invoice-processing time by 40%, automating routine customer-service queries, shortening reporting cycles from days to hours, improving forecast accuracy, increasing employee productivity and identifying new AI-enabled revenue streams. You’ll learn how to estimate implementation and operating costs, calculate payback periods, and prioritise initiatives based on measurable outcomes. Key metrics include time saved, cost reduction, process efficiency, adoption rates, customer satisfaction, revenue growth, risk reduction and decision-making speed. This ensures AI investments deliver sustainable business value rather than becoming isolated experiments without clear commercial results. By the end, you will be able to translate business goals into AI-ready requirements, choose appropriate frameworks for your use case, and outline a measurable implementation plan for teams and stakeholders.