Novobanco unifies fraud and AML prevention on Feedzai's AI-native platform to reduce investigation times and false positives
“Novobanco unifies fraud and AML prevention on Feedzai's AI-native platform to reduce investigation times and false positives” documents an Anti-Money Laundering & Compliance deployment in Retail at Novobanco. www.feedzai.com reports bank asset size: €46.4 billion; this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: www.feedzai.com
The Challenge
Novobanco operated with fragmented compliance processes, treating fraud and AML as separate domains across disconnected legacy systems. This siloed approach meant suspicious behaviors that spanned multiple systems were invisible, limiting risk detection effectiveness. The bank needed to consolidate KYC, AML, and fraud operations to gain holistic visibility across the customer lifecycle.
The Solution
Novobanco selected Feedzai as its strategic multi-year transformation partner, deploying its RiskOps platform to unify fraud detection, AML transaction monitoring, KYC/CDD, and watchlist screening in a single environment. The initial phase (2023) covered Digital Trust and Transaction Fraud for Banking across online and mobile channels; a 2025 expansion added Feedzai's full AML suite. Neterium was integrated to provide real-time watchlist screening with advanced algorithms that reduce false positives and rules maintenance overhead.
Results
The unified platform delivered higher-quality alerts with fewer false positives, significantly reducing unnecessary friction for legitimate customers. Investigation times accelerated and productivity improved across frontline risk teams, while the bank gained the ability to detect previously unseen cross-domain risks. Customer onboarding became faster and the bank strengthened its ability to adapt to new threats and evolving regulatory requirements without added operational complexity.
Key Takeaways
- Merging fraud and AML teams onto a single platform exposes risk connections that siloed tools cannot detect, improving both detection quality and operational efficiency.
- Modern watchlist screening with advanced algorithms dramatically reduces false positives and rules maintenance, freeing analysts for higher-value work.
- A phased partnership approach — starting with digital channel protection, then expanding to full AML integration — allows banks to modernize incrementally while building toward a unified risk ecosystem.
Details
- Industry
- Retail
- AI Technology
- Machine Learning & Predictive Analytics
- Company Size
- Enterprise
- Company
- Novobanco
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
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