Payment service providers

More payments, more risk

More and more payments are digital, and more of them run through payment providers. Criminals need ways to make their money look legitimate, and to move money they have stolen through fraud.

The AML rules were always there

AML rules have applied to payment providers for years. What is changing is how closely regulators check them. They look at whether you have controls in place, whether they are followed up and what you learn from them.

They also want to know who does the work. Do you have a financial crime team? How does it work, and what can it show as proof?

Much more at stake

When controls fall short, a fine is only the start. Your reputation and your liability are on the line, and in serious cases even your licence. Banks and other providers also want to know your compliance is in order before they work with you.

Only your own transactions

You see the payments that run through you. You do not see what the same user does at other providers or banks. Some patterns only show up across all of them.

How do you spot a pattern when you only see part of it?

Less to go on

You see what a user pays, to whom and how often. You often do not know who they are, what they do or what their income is. That makes it harder to tell what is normal for them.

What does normal look like for a user you hardly know?

Data that looks different

Your payment data looks different from a bank’s. Rules and tools built for bank accounts do not always fit it. They miss what matters, or flag what does not.

Is your detection built for your kind of data?

AI trained on your own data

Payment data is different from bank data. So your AI is trained on your own transactions. It learns what is normal for your users and flags what stands out.

The highest risks first

Rules and AI each look at different things. Together they give a risk score and a decision. The cases that need attention most go to the front of the queue.

Every decision explained

For every alert, your team sees what drove the score, down to a single transaction. That record holds up when a regulator asks.

Managed by us

Discai connects to your systems through APIs and checks transactions ex ante, before they are executed, or ex post. We keep a close eye on the AI every day and retrain it on your own data. One subscription covers the licence, the cloud, maintenance and retraining.

  1. 01 AML Monitoring Spot suspicious patterns in customer behaviour.
  2. 02 Payment Fraud Monitoring Soon Detect behavioural patterns to flag potential fraudsters and their victims.
  3. 03 KYC Risk Soon Optimise your periodic and event-driven due diligence and reviews through behavioural scoring.
  4. 04 Sanctions Screening Soon A contextual layer on top of sanctions list matching.
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