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AI Governance
Validating GenAI models for real-world use
A leading bank built a GenAI evaluation blueprint so every model could be trusted against strict standards for performance, safety and compliance before scaling to customer-facing operations.
70%
faster GenAI validation
The challenge
The bank needed to systematically assess GenAI models for accuracy, compliance and ethical standards before putting them near sensitive, customer-facing work.
How it ran on NayaOne
1
Production-like PoC
A secure sandbox to develop a RAG pipeline and evaluate multiple LLMs.
2
Compliance-aligned scoring
Validate outputs against internal compliance and business standards.
3
Repeatable blueprint
A reusable framework for trustworthy GenAI evaluation.
Outcomes
30%
reduction in factual inconsistencies
25%
more regulatory-aligned outputs
70%
faster validation of GenAI responses