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AI has transformed our world, from personal lives to the business landscape. Every day, countless articles, videos and opinions flood the internet about how companies can leverage AI. Much of this information can be overwhelming or too generic to apply effectively. That’s why we asked Martin, our expert tutor from the AI for Senior Leaders course, to share his practical insights. With years of hands-on experience, Martin offers practical, no-nonsense tips for using AI effectively in business, especially at a strategic level. Here are his top five insights that can help leaders understand AI’s true value. 

Always Start with a Clear Business Need 

Martin stresses that while AI is the shiny new technology everyone’s eager to try, real success comes from focusing on business impact first. "If you are going to use AI for any genuine purpose, it should solve a core business problem, add value, and align with your organisation’s strategic priorities. Sure, you can start experimenting with tools like Midjourney or ChatGPT for quick wins, but long-term AI projects must begin with a clear business need." 

AI Projects Are Continuous, Not One-Off 

AI initiatives aren’t like traditional projects with fixed deadlines. “In most cases, AI projects have no end date. This is because they are data projects, and the data, the world around you, and your business is always changing. So, they are not like developing an app, or a specific project which does have an exact end date.” 

Recognise and Manage AI Bias 

“Always remember that AI is biased. It is trained on data and data inherently has biases. For example, the AI system that selects job candidates based on previous hiring data, and so chooses mainly white male candidates, or the Midjourney images that always show women who look like ‘models’ because they are training on images from the internet. There is bias, and you must be aware of it.” 

Understand AI as a Probability Engine and Manage Risk 

“When you ask AI to do something, it goes out, breaks what you are asking for into lots of data queries, and returns the answer that has the highest probability of being right. Now, this is fine if you are generating images - if one is slightly off, it’s okay because you can just rerun the prompt till you get it right - but in an autonomous system, such as a self-driving car, 90% right is almost as bad as 90% wrong. So, in any project, think about what your acceptable level of failure is.” 

Automate Repetitive Tasks to Free Up People 

“Sometimes the best place to start is by looking at your most boring, repetitive task. This might be something you do every day, or every month, that you don’t enjoy, and just saps your time. It might be writing notes from sales calls, updating CRM systems, or writing reports. Then, look for a way to get AI to solve that problem, or better still, look for one of your staff member’s most boring repetitive tasks, and solve that for them.” 

Martin’s insights show that AI’s value goes beyond technology; it’s about leadership, ethics and strategic application. If you’re a senior leader aiming to integrate AI thoughtfully, building these leadership skills is vital. Our AI for Senior Leaders course is designed to equip you with the knowledge and tools to do just that.