AI Use Case Ideation & Prioritization
Identify and vet ways that AI and automation can increase efficiencies, create moments of delight for stakeholders, and drive greater insights
Driver
We’ve all heard stories about dramatic results from Artificial Intelligence (AI) and automation efforts. But which AI use cases make the most sense for us? And where do we even start on the consideration process?
Outcome
The FlexPoint team isn’t trying to sell a particular AI product, so we don’t have an answer at the ready of which use case is best to pursue. Rather, we’ll work with you to identify where AI and automation can provide real value for your team, then pressure test it so you’re confident moving forward.
Approach
The FlexPoint team has identified starter use cases across industries and types of AI, to get your creativity started. We’ll review some of these together, discussing what seems like it can apply and just doesn’t fit for your team.
With a sense for the art of the possible in this space, we’ll turn to your team very specifically. Where are you making decisions intuitively because related data is too difficult to stitch together? Where are team members complaining about doing the same manual processes over and over again? Where are there moments of friction for customers, when we want there to be delight instead?
We’ll work through these and more exploratory questions to identify possible use cases. Then we’ll take time to vet ideas: looking at the data, processes, and customer journeys in greater detail, to see if AI can solve real headaches without creating new ones.
After rounds of discussion and analysis, we’ll deliver a list of prioritized AI use cases, with what it will take make them a reality.
(We can follow this up with AI Initiative Planning, once you’ve selected one or two use cases you’re ready for. Then you’ll have clear implementation steps, a change playbook, and success criteria to move forward with.)
Interested in learning more?
