AI sprawl: Why your productivity trap is about to get expensive

The document argues that carriers should standardize core definitions, handling of unstructured inputs, and a single source of truth for decision logs to prevent sprawl; it emphasizes that new AI initiatives should inherit shared standards and oversight rather than relying on after-the-fact governance, framing the problem as a lack of AI foundation rather than merely missing policies.