Implementing ServiceNow AI Search in a large enterprise environment is not just a configuration exercise—it’s a strategic data engineering challenge. For architects and implementers, success depends on how well the underlying data is understood, structured, and optimized for intelligent retrieval.

In a recent engagement with a large client, our team applied a structured, three-phase data analysis framework that proved instrumental in delivering a high-performing AI Search solution. The approach was met with enthusiastic feedback from both the client and internal teams preparing for follow-up work. Here’s how we did it—and how you can replicate it.