Organizations are struggling with how to move beyond AI POCs, be it GenAI or Agentic AI, because they are not architected correctly for these workloads, especially when it comes to unstructured data.

One of the best practices companies need to consider is starting from the end state – what are you trying to achieve and are you structured correctly? Since AI has exposed all the data quality and silos issues we haven’t fully addressed over the last 20 years, using an outcomes mindset aligns the organization to find immediate value while also addressing core data needs.