How do you prioritize your AI use cases?

Start with easiest thing you can build, deploy and most importantly measure business impact. Then tackle bigger, more ambitious projects later.

From my experience is based on your business vision and priorities, a good option is to choose the lowest-hanging fruit method, which involves identifying the use cases with the greatest impact on business results with the least effort involved. This means that you may sacrifice, in the short term, an ambitious project that takes too long to deliver results for one or more than one that offers a clear impact in a shorter timeframe. This will build confidence in the technology and allow you to pursue more challenging projects later.

You can create a decision matrix and have stakeholders support you in determining the degree of impact with the required effort.

Use cases are defined by the strategic objectives part of your strategy and defined following the variance required by current a future workflows.