Pleo Selects Lucinity to Provide Trusted AI-Powered AML Hub as It Continues to Scale

Copenhagen — June 14, 2022 — Pleo, the Danish spend-management company valued at $4.7 billion, has chosen Icelandic software developer Lucinity to serve as the central hub for its anti-money laundering (AML) and financial crime compliance work. The decision follows what both companies described as a rigorous selection process, during which Pleo looked for a transaction monitoring system that could keep pace with its rapid expansion without weakening the integrity of its AML controls.

Founded in 2015, Pleo provides businesses with smart payment cards and automated expense reporting, and is used by more than 20,000 companies across Europe. The company has been adding new customers at a fast clip across a range of industries, a growth curve that puts increasing pressure on the systems responsible for spotting suspicious financial activity.

A full compliance stack in one place

Rather than adopting a single point solution, Pleo is taking on Lucinity’s complete AML suite. The deployment covers four products that together span the life of a compliance investigation, from the first alert to the final regulatory report:

• Transaction Monitoring, which flags payment behavior that may indicate money laundering or other financial crime.
• Case Management, a workspace where analysts review alerts and document their findings.
• Actor Intelligence, which builds a picture of the individuals and entities behind transactions.
• SAR Manager, a tool for preparing and submitting suspicious activity reports.

According to the companies, Lucinity’s scalable products and its integration-friendly API were key reasons the platform fit a business growing as quickly as Pleo. Consolidating monitoring, investigation and reporting under one vendor is intended to give Pleo’s compliance team a single view of risk as transaction volumes climb.

AI as an aid to human investigators

Lucinity, headquartered in Reykjavík, markets its approach as “Human AI”: machine learning is used to surface patterns and prioritize work, while trained compliance staff remain responsible for judgment calls. The company says the combination helps reduce false positives, which are a persistent drain on AML teams that must manually clear large numbers of benign alerts. Its client base ranges from Tier-1 banks to younger FinTech firms.

Charlotte Lowry, Pleo’s Money Laundering Reporting Officer and Compliance Director, said the AI-powered software “drives a more intelligent and actionable approach to AML monitoring.” Lucinity founder and CEO Guðmundur Kristjánsson framed the deal as a match between two companies pursuing modern, progressive approaches to their respective markets.

From four hours to minutes

The most concrete efficiency gain highlighted in the announcement concerns regulatory reporting. Lucinity’s open architecture will connect directly with the Danish Financial Intelligence Unit (FIU), the authority that receives suspicious activity reports from regulated firms in Denmark. The companies say this integration shrinks the time required to review and file a SAR from roughly four hours to a matter of minutes.

For a compliance function handling a growing customer base, that difference is significant. SAR preparation has traditionally involved gathering evidence from multiple systems, writing a narrative and re-entering data into a regulator’s portal. Automating the hand-off to the FIU removes much of that repetitive work and leaves analysts more time for the investigative judgment that regulators expect.

Why it matters

The agreement reflects a broader shift in financial crime compliance, where fast-growing FinTechs are turning to AI-assisted platforms rather than legacy rules engines that tend to generate high volumes of false alerts. Scaling a payments business across European markets brings heavier regulatory scrutiny, and compliance capacity can quickly become a bottleneck if it depends solely on adding headcount.

The deal is also notable for its emphasis on keeping humans in the loop. Regulators have been cautious about fully automated decision-making in AML, and vendors such as Lucinity are positioning AI as a tool that augments analysts rather than replacing them. Direct integration with a national FIU points to another trend: the digitization of the regulatory reporting chain itself, which could make compliance faster for firms and give authorities more timely intelligence. How well such systems balance speed, accuracy and explainability is likely to shape how widely AI is trusted in financial crime prevention.