Explainable, Auditable AI

AI That Doesn’t Just Work — It Shows Its Work

Nevora delivers AI that’s transparent by design — every risk score, alert, or classification is backed by clear reasoning. Built for regulated environments, our models are not only high-performing, but also traceable, defensible, and audit-ready.

Transparent by Default

Every model decision is linked to features and rationale — making it easy for compliance teams to review, explain, and document why a case was flagged.

Audit-Ready from Day One

Our systems generate detailed logs and decision trails that align with internal policies and regulatory expectations — supporting seamless reviews, reporting, and exams.

Designed to Earn Trust

We don’t treat explainability as a checkbox. Our ML outputs are built to meet the scrutiny of legal, audit, and regulatory stakeholders — turning skepticism into buy-in.

Case Study: Explainable Machine Learning for Transaction Monitoring

Challenge

A Swiss private bank needed to modernize its AML transaction monitoring. Their rules-based system was overwhelmed with false positives, missing nuanced typologies and draining analyst time. ML-based approaches seemed promising, but internal stakeholders — especially compliance leadership — were skeptical about auditability and regulatory acceptance.

Solution

We designed a machine learning model tailored to the bank’s risk framework, trained on historical transaction data to detect structuring and layering behaviors. Every model output included clear rationales and feature contributions, ensuring analysts and auditors could trace each alert back to specific patterns. Compliance officers were closely involved in model validation, aligning it with both policy expectations and operational workflows.

Impact

The model reduced false positives by 70% while surfacing subtle, previously undetected risks. Its explainability won trust across compliance and audit teams — and critically, it became one of the first machine learning AML systems reviewed and accepted by FINMA, helping pave the way for regulator-backed AI adoption in Swiss banking.