When AI gets something wrong, the damage is not just technical. It can directly affect an organization's bottom line.That is why one question matters:

Can you trust the answer every time?

In a recent interview with Shashi Bellamkonda, Chata.ai VP of Growth Taisa Noetzold talked about why deterministic AI is becoming a more important part of modern analytics.

Many AI tools generate answers probabilistically. That creates uncertainty. For teams using AI analytics in real workflows, uncertainty becomes a problem fast.

Chata proprietary deterministic technology does not hallucinate. Chata generates the database query, and the database returns the answer. That gives teams reliable insights grounded in real data.

This changes more than accuracy. It changes how people work. Instead of checking outputs, questioning results, or slowing down decisions, teams can move faster with more confidence.

The interview also covered cost. Chata runs on CPUs rather than GPU-heavy architectures, creating a more efficient cost profile as usage grows.

The takeaway is simple. If your AI analytics platform cannot show why an answer is right, trust becomes a bottleneck. Deterministic AI removes that bottleneck.

Read the full interview here: The Same Answer Every Time Using AI: A Conversation with Taisa Noetzold of Chata.ai.