Spot anomalies earlier
The model helps identify unusual patterns in large volumes of data.
Fraud detection
Identify unusual transactions or claims for targeted review.
Manually reviewing every transaction or claim does not scale. Fixed rules can miss new patterns or generate too many unnecessary alerts. Fraud detection uses data to flag unusual patterns and prioritise cases for investigation.
From an isolated possibility to a useful application
An application only becomes meaningful when it fits a specific task and the information available to carry it out.
A signal is not proof of fraud and requires careful human assessment. That is why we decide in advance what the solution should and should not do, how the outcome will be checked and who remains responsible.
What it delivers
Prioritise investigations
Staff can focus on signals that need further assessment.
Keep evaluating performance
Monitoring shows how often signals prove useful or unnecessary.
Our approach
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Define the risk
We determine which unusual behaviour matters and what a signal means.
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Examine the data
We analyse historical examples and data quality.
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Develop the model and thresholds
We set up alerts with a focus on avoiding unnecessary notifications.
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Validate with experts
Specialists review signals and missed cases.
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Monitor
We track performance and changing patterns after deployment.
A good fit for your organisation
This service is relevant for financial institutions, insurers and organisations with high transaction volumes. The exact setup depends on the process, the available data and the risks associated with the application.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
Other solutions
One data platform for fragmented sourcesBring data from separate systems together in one place, where everyone sees the same figures.
Dashboard for day-to-day operationsSee how things stand on one screen, without having to build reports first.
Predicting when maintenance is neededPlan maintenance based on what the data says, not on a fixed schedule.
Frequently asked questions
This service addresses the following challenge: fraud detection uses data to identify unusual patterns and prioritise cases for investigation. How it works in practice depends on the process and the data available.
The service may be relevant to financial institutions, insurers and organisations that handle large numbers of transactions. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question you need to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge effectively and add complexity only when needed.
We define the scope of the application, check the results with users and put appropriate controls in place. Once it is in use, we monitor how it performs and adapt the solution when the data, its use or the context changes.
Discover what fraud detection could mean for your organisation
Want to explore where it makes sense to start with fraud detection? Together, we’ll assess the challenge, the available information and the requirements.