2026 BENCHMARK REPORT
The blueprint for trusted AI analytics
Frontier models can query your data, but they can’t guarantee the answers. See what can — backed by a head-to-head benchmark against Claude Code.
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AI can access your data. Can you trust what it does with it?
Nearly every enterprise is exploring AI analytics, but just 7% have scaled it across the organization. Why? Because general-purpose AI doesn’t understand your business: your definitions, your rules, who’s allowed to see what, and the institutional knowledge that lives in your team’s heads.
We put that theory to the test. WisdomAI and Claude Code answered 30 real analytics questions on a real compliance data set. WisdomAI reached 93% accuracy with zero human intervention, 27% more accurate than Claude Code, answering 3x faster and at a 3.4x lower cost per question.
In this report, you’ll learn:
The six types of context AI needs and why most organizations only capture two
Why analytics needs a specialized harness to ensure reliable accuracy at scale
What to look for in an AI analytics vendor, and the red flags that won’t show up in a demo
“LLMs are a commodity. The real value add is how you build, maintain, and update the context, and how you call that context when needed.”
Volkan Oktem
VP of Analytics, Property Finder
ACCURACY
What happened when we tested WisdomAI against Claude Code
