The rush to adopt AI tempts teams to wire experimental models straight into production data and workflows before anyone understands their failure modes. Keeping AI experiments in a sandbox — away from real data and live systems — contains the surprises until the tool has earned production trust.
“Prove the AI in a sandbox before you trust it with the real thing.”