About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Fenergo Combines KYC and Transaction Compliance to Provide Real-Time Customer Intelligence

Subscribe to our newsletter

Fenergo has released KYC & Transaction Compliance, an offering for fintechs – and later financial institutions – that combines the company’s KYC and transaction monitoring solutions to provide a single, integrated SaaS solution that continuously monitors customer profiles and detects suspicious transaction activities, including money laundering and terrorist financing, in real time.

KYC & Transaction Compliance for fintechs will debut in APAC and be more broadly available to financial institutions later this year.

By connecting KYC and transaction data, siloes across fintechs’ monitoring tools are eliminated, providing a holistic, 360-degree view of each customer profile, which receives continuous updates from entity data providers, screening providers, and transaction systems. A single API consumes data from these sources, allowing low-latency AI technology to rapidly analyse complex historical transaction data and flag suspicious activity. This should reduce false positives, saving fintechs time and money, and ensure their compliance with regional anti-money laundering (AML) regulations.

Christian Roberts, vice president of product at Fenergo, says: “The best way to protect against smarter crime is to deploy smarter tech. Our offering allows fintechs to gain the operational benefits of Fenergo’s KYC solution, along with AI-driven transaction analysis, to enable smarter, real-time transaction compliance.”

Insights from the transaction monitoring system can trigger events such as enhanced due diligence checks, a KYC data refresh, or adjusted risk ratings based on the outcome of true positive alerts, ensuring customer profiles stay up to date instantaneously.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

EBA Framework 4.3 Maps the Data Behind AMLA’s First Risk Assessment

The European Banking Authority’s Reporting Framework 4.3 gives financial institutions their first machine-readable view of the data that will support the EU’s selection of firms for direct anti-money laundering supervision. Published earlier this month, the framework marks an intermediate step towards the first formal risk-assessment and selection exercise by the Authority for Anti-Money Laundering and...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...