To enable this reliability, we enforce a "Zero Trust" model on agent and LLM invocations.
Every single agentic loop of "perceive → reason → act → reflect" is traced and logged.
We impose transparency on Generative AI project during design time, not after deployment.
Humaineeti's responsible AI practice thus builds on 3 pillars:
We bring in industry standard frameworks to trace agent steps, tool invocations (MCP) and planning steps.
Our evaluation scoring judges response quality for agentic invocations and RAG responses on a broad scale of metrics such as: Correctness, Completeness, Safety, ToolCallEffectiveness among others.
We also provide offline, manual evaluation using ground truth datasets provided by the business.