Global payments firm TransferMate is working alongside AI compliance specialist Vivox AI to dramatically overhaul its 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 pressure to get this right is considerable.
The core challenge the firm identified 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 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. TransferMate said Vivox AI “stood out because they’re aligned with our philosophy, not replacing judgment, but enhancing it with explainable intelligence, strong explainability, and an audit trail.”
Each AI agent operates in a fully traceable mode, providing decision descriptions, audit logs, and outputs structured to satisfy regulators and inspectors. Crucially, the final decision remains with the human analyst — and the system learns iteratively from that human feedback.
The implementation approach was deliberately measured. Rather than a wholesale rollout, a granular method was used to extend AI agents progressively across different parts of the compliance workforce. This caution paid off. When compliance staff engaged directly with the system — visiting the centre of excellence, working alongside the agents, and providing real-world feedback — trust in the technology grew organically. According to those involved, that trust-building process proved critical to the programme’s success.
The results have exceeded expectations. Onboarding times have reduced significantly, false positive rates have fallen, and the identification of complex risk patterns has improved. The compliance team’s day-to-day work has fundamentally changed in character: analysts have shifted away from processing and manual review towards interpreting data, making risk decisions, and conducting higher-quality enhanced due diligence.
For the broader FinTech and RegTech sector, this partnership illustrates a maturation in how AI is being adopted within regulated financial services. The emphasis on explainability, audit trails, and regulatory defensibility reflects the industry’s growing recognition that AI tools must be deployable not just in practice, but in front of a regulator.
Find out more by watching the full video here.
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