Napier AI launches AML tool after FCA Supercharged Sandbox testing

TL;DR:

  • London-based Napier AI has released Insights AI, a transaction monitoring capability that surfaces AI-driven explanations of suspicious customer behaviour for compliance analysts.
  • The product was developed through the FCA’s Supercharged Sandbox under Project Theseus, using novel frequency-based algorithms inspired by fluid dynamics in climate research.
  • The FCA sandbox programme continues to prove its value as a launchpad for UK-based compliance technology, with Napier AI now moving from testing to commercial deployment.

Napier AI, a London-headquartered financial crime compliance firm, has launched Insights AI — a new feature within its transaction monitoring platform designed to reduce the manual burden on anti-money laundering investigators.

What Insights AI does

Rather than simply flagging suspicious transactions, Insights AI provides compliance analysts with explanations of customer behaviour patterns and the activity behind each alert. The aim is to cut context-switching and manual analysis time by surfacing relevant signals directly within monitoring tasks.

The product emerged from Project Theseus, Napier AI’s initiative within the FCA’s Supercharged Sandbox. The project tested two approaches: pattern mining and fluid dynamics-based analysis. Chief Data Scientist Dr Janet Bastiman described drawing inspiration from climate research, applying the way water flows in rivers to how money moves through financial systems.

“We developed a methodology to detect the ripples in the transaction flow where money had been injected, even when sampling further downstream from the placement of illicit funds,” Bastiman said.

Regulatory collaboration

Napier AI’s FCA relationship extends beyond the sandbox. The company previously partnered with the regulator, the Alan Turing Institute and Plentitude on a synthetic data initiative to create realistic test datasets for money laundering detection. Bastiman now sits on the FCA’s Synthetic Data Expert Group.

This ongoing collaboration reflects a broader pattern of UK regulators actively supporting AI-driven compliance tools — a contrast to the more cautious approach seen in some European jurisdictions still finalising AI Act implementation timelines.

Looking forward

Chief Product Officer Will Monk described the launch as putting “the power into the hands of AML analysts to make the best possible human-in-the-loop decisions.” The next test for Napier AI will be demonstrating measurable improvements in detection rates and analyst productivity at scale. For UK financial institutions facing growing compliance demands, tools that can reduce false positive volumes while maintaining regulatory confidence will remain in high demand.