Review fraud and AML decisions in one workflow.

A payment alert may arrive without the onboarding evidence that explains the customer. A screening match may sit in a different queue from the transaction that triggered it. Investigators then rebuild the same timeline by hand.

Naiza keeps the relevant signals, rule result, reviewer action, and case evidence on one decision path. The institution retains control of its policies, thresholds, and escalation process.

Naiza is designed for banks, finance companies, payment service providers, fintechs, and digital lenders operating fraud and AML controls in Saudi Arabia and the Gulf.

Fraud and AML teams use the decisions and review queues; risk and compliance leaders define policy and oversight; technology teams own the event and system integrations.

APIs and SDKs pass onboarding or payment events to Naiza and return the resulting action to the originating workflow. Review outcomes can then be recorded against the same decision context.

The product documentation on naiza.ai contains the current integration detail; Limaz scopes the surrounding operating model and implementation work separately.

Naiza is built by Limaz for institutions that must operate under local regulatory expectations, bilingual operations, and high accountability for decisions that affect customers and the institution.

Where counter-fraud requirements, AML programs, or identity controls need broader system work, Limaz can implement around the product rather than leaving a platform disconnected from the operating model.