As insurance enters its agentic AI era, data quality is top of mind for CIOs, and for good reason. Asking AI agents to handle complex tasks, such as underwriting or claims processing, requires pinpoint data accuracy. Yet carriers and MGAs that wait for their data to be “clean enough” before deploying AI could be waiting forever.
Deploying agentic AI with confidence requires a different kind of data integration and hygiene strategy than what we saw during the Big Data era. The old instinct to clean everything once, store it centrally and serve it to whoever needs it is giving way to a new paradigm that preserves raw data and cleans it for specific use cases.