FRAUD DETECTION
€200k – €4M
hidden fraud uncovered
SENTR connects detection, investigation, dispute resolution and model learning into one centralized risk operations platform. Run it alongside your current stack for 50 days — on your own data, at no cost — before making any decision.
WHAT MAKES SENTR DIFFERENT
"If you're processing 1,000+ transactions per day, you have fraud events. 50 days will show you whether your system is catching and resolving them — or just scoring them."
1,500 alerts a day. 70% false positives. The analysts who are best at this burn out the fastest — because they actually care and the system makes them feel like they're failing.
Head of Fraud, EU PSP
Every time a fraud case went to chargeback, someone was copy-pasting data from three different screens. 30% of my week being the human API between them.
Head of Risk Ops
We tried to explain our AI fraud model's logic to the regulator. Our vendor said 'the model is proprietary.' The regulator did not find that acceptable. Six months of remediation followed.
Compliance Director, regulated fintech
Detection is Stage 1. Most platforms never get past it. Here is what all five stages look like — and what the loop closing back to Stage 1 does to your fraud rate over time.
CLOSED-LOOP RISK INTELLIGENCE
Most fraud platforms produce a score. A score tells you what to do right now — it doesn't tell you whether that decision was right, what the chargeback outcome was, or how to adjust the model for the next transaction that looks similar. Closed-Loop Risk Intelligence connects every detection decision to its downstream outcome: the investigation finding, the dispute result, the model update. The loop is what turns your fraud stack from a reactive filter into an operational system that compounds.
Slide to explore all five stages
Every transaction scored in under 100ms. Against fraud patterns specific to EU payment environments. Every event — not just the ones that trigger a rule.
Auto-clear everything that doesn't need a human. Route what does. Analysts only see cases that require a decision.
Everything at case open — no tool switching, no copy-paste between screens. One view. One decision.
Fraud signal connects directly to the chargeback dispute. Evidence packaged and filed automatically to scheme requirements.
Every decision has a plain-English rationale. Not a score — an explanation. Readable by your regulator. Exportable in 45 minutes.
Intelligence compounds with every cycle
Every transaction scored in under 100ms. Against fraud patterns specific to EU payment environments. Every event — not just the ones that trigger a rule.
Auto-clear everything that doesn't need a human. Route what does. Analysts only see cases that require a decision.
Everything at case open — no tool switching, no copy-paste between screens. One view. One decision.
Fraud signal connects directly to the chargeback dispute. Evidence packaged and filed automatically to scheme requirements.
Every decision has a plain-English rationale. Not a score — an explanation. Readable by your regulator. Exportable in 45 minutes.
Continuous loop — every outcome sharpens the next decision.
The outcome of every dispute feeds back into Stage 1. The loop closes. At Day 50 of shadow mode, you have 50 days of compounding intelligence to tell you exactly what moving to SENTR is worth.
From August 2026, the EU AI Act requires any payment operator using automated decision-making systems — including fraud detection — to maintain an explainable AI audit trail. Fines for non-compliance: up to 7% of global annual turnover.
SENTR generates a full explainability log for every fraud decision — human-readable, regulator-ready, exportable in under 45 minutes. Shadow mode builds that baseline during the proof period. You do not need to be live on SENTR before August. You need to be able to demonstrate you are building toward compliance. Shadow mode starts that clock.
Mon–Sat · 09:00–18:00 CET · 20 minutes · No pitch deck · No follow-up sequence
If shadow mode is not the right fit for your operation, we will tell you on the call.