The AI data sprawl
Blog post from Hex
AI-assisted analytics has enabled nontechnical users to rapidly create dashboards, queries, reports, and applications in natural language, reducing reliance on slow traditional data-request processes. However, much of this work is generated with uncertain context and permissions, stored in fragmented locations, and lacks review, reproducibility, lineage, or clear metric definitions, making its accuracy difficult to assess. The resulting “AI Data Sprawl” consists of plausible but ungoverned analyses and code that data teams remain responsible for managing, while existing BI tools are seen as too rigid to solve the problem. Hex argues that organizations need systems combining AI agents with appropriate context, controls, collaboration, and governance, and says it is developing broader solutions beyond its current Generative Data Apps.
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