DONE: Simplified AI: Level up your risk decisioning

challenges and hope something lands! At the other end of the spectrum, many companies fail to launch AI projects off the idea board because they can’t pick a specific objective to start with. Your first AI project doesn’t need to be an enterprise-wide, all-or-nothing initiative – start small and get the whole company adjusted to the value AI can bring. To launch a successful AI decisioning project that shows value you need to start with a defined business challenge and focus in on one area where AI can quickly shine. Not only does this create business value, but it also helps drive business buy in. If you’re struggling to identify the best business problem to tackle first, one option is to work with a technology partner that is already working with businesses like yours to help them solve key challenges and drive value with AI. POWER-UP TIP: You don’t need vast amounts of internal expertise to launch an AI strategy across your decisioning! Selectively choosing the right partner to fill these knowledge gaps can be a cost-effective and time-saving way to get AI projects launched quickly. However, if you already have an in-house data science team, choose a technology partner that can easily migrate their existing models into more user-friendly technology.

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