Strategy Mosaic: Benchmark Evidence for Trustworthy, Cost-Efficient AI Analytics
AI doesn't know your business. This benchmark shows what happens when you give it the context it needs, and what it costs when you don't.
AI analytics without governed context creates a false sense of precision.
When AI queries enterprise data, it's guessing at business rules it was never given. The result is answers that look valid but are materially wrong. This benchmark shows what changes when you give it a semantic layer: Mosaic returned correct answers across every query tested while direct SQL missed by 5–10×, all while significantly reducing token costs.
Inside the whitepaper
- Why AI produces wrong answers on enterprise data and why they look correct
- How Mosaic's deterministic SQL engine eliminates wrong answers caused by AI-generated business logic
- Live benchmark results across real insurance analytics queries
- Token economics: how Mosaic reduces token costs at both the query and agent level
- Why inefficiencies compound at agent scale — and how Mosaic addresses them
- ROI framework: calculate your projected savings
