The term ‘enterprise AI’ sounds like something big, doesn’t it? And indeed, it is a significant undertaking, particularly for organisations that are still coming to terms with the extraordinary pace at which AI has entered the mainstream, let alone working out how best to harness its potential.

For businesses looking to put AI to work, the prospect of navigating a complex data landscape, identifying the right technology and determining where meaningful value can be delivered can make it difficult to know where to begin. While there’s no denying that enterprise AI adoption is a big deal, it becomes a whole lot less daunting when you recognise that taking the first steps doesn’t require an enterprise-wide transformation programme from day one.

A more practical approach is to start with a clearly defined business objective and work outwards from there: understand the data landscape surrounding it, identify where AI could deliver meaningful value and put that thinking to the test before determining whether there is a case for something bigger.

This is the thinking behind the Fraxses approach to enterprise AI adoption: a staged path that allows your business to explore its potential before committing to enterprise-wide implementation.

Whether you’re already experimenting with AI or still considering where it could fit within your organisation, remember that the journey can begin with a small step rather than a giant leap. In our latest blog, From AI Ambition to Enterprise Adoption, we take a closer look at how the Fraxses approach can help you get started.