An ATM stops dispensing, a payment channel degrades, a fraud pattern shifts — and the bank learns about it when a customer complains. The AivaCore Platform is the layer that sees it first, correlates it across systems, and acts before the impact.
Legacy systems, siloed data and disconnected monitoring create blind spots. Incidents are detected late, correlated by hand, and escalated slowly — and every hour of delay costs money, availability and trust.
The platform does not replace what a bank already runs. It connects to it — reading the same data in context, and turning it into something a team can act on.
Real-time analysis of transactions to surface anomalies, reduce fraud exposure and keep compliance provable.
Behaviour-driven analytics across customers, staff and devices — including the insider case that rule-based systems rarely catch.
End-to-end visibility on availability, performance and incidents across the physical payment network.
Machine learning that anticipates failures, so a machine is serviced before it stops rather than after a customer finds it out of order.
Unified operational visibility for the people who have to arbitrate — dashboards built around exceptions rather than around vanity metrics.
Full-stack visibility across systems, data and operations, correlated end to end and mapped to what it costs the business.
Five layers, one direction. Data flows up from the systems the bank already runs, and comes back down as something a team can do something about.
Core banking, payments, cards, ATM and POS, internet and mobile channels, risk and third parties.
Transactions, events, logs, metrics, user behaviour and external feeds — normalised into one readable stream.
Contextual, real-time analysis: monitoring, detection, insight and prediction, applied to the same normalised data.
Operations, risk and compliance, IT and executives — each seeing the part that concerns them, with the same underlying facts.
We would rather say this plainly than let you discover it in a pilot.
The architecture is defined, the capability model is specified, and the domain knowledge behind it comes from twelve years inside banking operations.
A first bank. No pilot has run yet, and no detection or availability figure has been measured in production. Anything else would be a claim, not a result.
Through a software vendor or integrator already installed inside the bank — OEM or white-label — or through a design-partner pilot scoped small enough to be bought without procurement.
If your product is already inside a bank and your clients are asking for intelligence you do not have, that is exactly the conversation we want to have.