Non-technical people are now generating massive amounts of data code through AI agents instead of waiting for BI teams, but this code lives everywhere—scattered across chats, laptops, and Slack—with no way to verify accuracy, reproduce results, or enforce standards. Traditional BI tools can't fix this because they're too rigid, leaving data teams stuck between chaos and lockdown.

• Millions of non-technical users are writing billions of lines of AI-generated code for analytics, replacing the old ticket-and-wait model with instant answers—and nobody wants to go back.
• The generated code is ungoverned and untraceable: there's no record of what context the AI used, which tables it queried, or what filters it dropped, making it impossible to verify if the numbers are actually correct.
• Data teams face a false choice: either let people generate whatever they want and abandon governance, or force them back into rigid BI tools that can't do much of anything.