AI Analytics Agents Need Guardrails, Not More Model Size
TNW, Thursday, March 19th, 2026
Picture a VP of finance at a large retailer. She asks the company's new AI analytics agent a simple question: 'What was our revenue last quarter?' The answer comes back in seconds...
Confident.
Clean.
Wrong.
That exact scenario happens more frequently than many organizations would care to admit. AtScale, which enables organizations to deploy governed analytics environments and semantic consistency, has found that simply increasing model parameterization alone cannot address the AI governance and context issues enterprises face.