The Seven Steps for a Great AI Strategy

Are you feeling overwhelmed by AI and struggling with where to start?

You're not alone. We are bombarded with news, offers, and information about AI right now. Your manager or leadership team probably asked you to start using AI but without any specific direction.

It's great that you are thinking strategically about using AI in your business. With the sheer amount of solutions and all the data you can access, it couldn't be easier to get going. However, beyond simple co-pilot solutions, using AI in business can get quite complicated really quickly. It can also get very expensive.

Having a robust AI strategy within your business will reduce the risks to yourself and your organisation and hopefully create meaningful AI solutions that move your company forward.

In this guide, you will learn the seven steps you need to take to create a robust AI strategy. You also get access to a matrix that helps you prioritise your AI projects.

• Learn the benefits of having an AI Committee
• The Importance of Ethics and Governance
• Why a Data Strategy is also vital

Step 1. Form an AI Committee

As a first step when thinking about your AI strategy, it would be highly beneficial to create a dedicated committee. Members of this committee should be made up of various teams and departments to ensure there is diverse representation from across the whole of the business. Depending on your organisation, this might look something like this:

• Legal - are we adhering to local and international laws whilst abiding to industry regulations
• HR - are we ensuring our staff have the correct training and support
• IT - are we offering the right tools and platforms
• Finance - are we keeping within agreed budgets
• Data Science - are we creating well-produced AI solutions
• Domain Experts - are we creating projects that solve relevant business challenges

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