Global payments firm TransferMate has partnered with artificial intelligence compliance specialist Vivox AI to dramatically overhaul its anti-money laundering (AML) and sanctions screening operations, slashing deep-dive analysis times from 40 minutes to as little as two minutes in some cases.
The collaboration, which was detailed in a recent YouTube clip, took eight weeks from initial implementation to first production results, centres on deploying AI agents to automate the most labour-intensive elements of financial crime risk management. For TransferMate, which holds the largest non-bank licensing footprint in the world, the stakes are considerable. The firm’s compliance function is built around the principle of using regulatory rigour as a competitive advantage, keeping financial crime out of its systems without burdening legitimate customers with excessive controls.
The core challenge was one of consistency rather than capacity alone. With analysts spending between 30 and 40 minutes per activity on tasks such as bank statement analysis and invoice reconciliation, the bottleneck lay in the manual interpretation of unstructured data and the variability in quality that came with it. The goal was not simply to move faster, but to operate with greater certainty.
The decision to partner with Vivox AI was driven by a shared philosophy around human oversight. Rather than seeking to replace analyst judgement, the solution is designed to augment it through explainable intelligence and a full audit trail. Each AI agent operates in a fully traceable mode, producing decision descriptions and outputs structured to satisfy regulators and inspectors. The final call remains with the human analyst, and the system improves iteratively through that human feedback.
TransferMate’s priority throughout was not speed of deployment but defensibility. The firm sought efficiency gains that could withstand regulatory scrutiny, and the implementation reflected that. Rather than a wholesale rollout, AI agents were introduced progressively across different parts of the compliance workforce using a granular approach. Vivox AI invested significant time working directly alongside TransferMate’s analysts and internal champions, a process that proved essential to building the organisational trust needed for successful adoption.
The outcomes have exceeded initial expectations. Onboarding times have fallen sharply, false positive rates have decreased, and the detection of complex risk patterns has improved. Compliance staff have fundamentally shifted in how they spend their time, moving away from manual processing towards higher-order activities such as risk decisioning, escalation, and enhanced due diligence. The net result has been described as risk positive, with meaningful efficiency gains achieved without compromising compliance standards.
For the broader FinTech and RegTech sector, the partnership offers a clear signal of where AI adoption in regulated financial services is heading. Explainability, audit trails, and regulatory defensibility are no longer optional features but baseline requirements, and the most credible implementations are those where human judgement remains firmly at the centre.
Find out more by watching the full video here.
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