Financial Services & Banking
Risk analysis, fraud detection and regulatory reporting. Customer segmentation and personalised product offers, and being able to show a regulator exactly where a reported figure came from.
We work across seven sectors. The regulations differ, the systems differ and the vocabulary differs. What does not differ is that someone senior is being asked to act on a number nobody can trace.
Book a discovery call
Whichever industry you are in, someone will eventually ask you to show where a number came from. That is the same problem everywhere.
Where the demand is heading, based on what clients are asking us for now rather than on a trend report.
Fraud detection that uses models rather than fixed rules, and evidence packs that can be produced on demand rather than assembled before an inspection.
Predicting patient demand and capacity, with the access controls and audit trail that sensitive records require.
Personalisation that is actually measured, rather than assumed to be working because it was switched on.
Sensor data used for predicting failures, which only works once the data from the floor and the data from the ERP agree with each other.
ESG and sustainability reporting under real scrutiny, where the methodology has to be explainable and the figures traceable.
Statutory returns produced from the system rather than compiled by hand, so the same numbers come out the same way each time.
Data platforms bill by how much they process, and processing is electricity. So the work that lowers a cloud bill is usually the same work that lowers what a business draws from the grid: reading less data to answer the same question, retiring the overnight job nobody owns any more, and sizing capacity against real use rather than a worst case that never arrives.
We do not sell this as a sustainability programme. It falls out of doing the engineering properly, and it is worth naming because most organisations now report on it.