Verity: AI quality and trust framework by Rupali KumarVerity: AI quality and trust framework by Rupali Kumar

Verity: AI quality and trust framework

Rupali Kumar

Rupali Kumar

Goal

Enterprise AI used for sensitive, high-stakes decisions has to be right before it ships.

What we built

Verity, the framework we use to build and test AI features: multi-LLM verification that cross-checks results to cut hallucinations and bias, LLM-as-judge checks for factuality, grounding and tone, functional and data security testing, test automation that tracks LLM-side changes to prevent performance drift, and human-in-the-loop intervention points.

Outcome

Confidence in AI output before release, applied to our own products (RecruitSmartly) and to client AI features. It can be adopted for your AI features or adapted to your evaluation criteria.
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Posted Oct 29, 2026

Our framework for testing AI features: multi-LLM verification, LLM-as-judge checks, drift tests and human review points.