AML Compliance
Customer and payment screening, transaction monitoring and investigation workflows.
Supplier popularity85%By Napier AI
Napier AI Transaction Monitoring
Rules and AI evidence connected to sandbox-tested transaction detection and analyst investigations.
The offering
What Napier AI Transaction Monitoring does
Transaction Monitoring evaluates activity with governed rules and AI-supported analysis, then connects alerts to cases and explanations. The current product describes a typology library, no-code rule authoring, automatic rule version history, sandbox testing and investigation context. Rule and AI scores can be compared as separate views of risk.
Supply consistent customer, transaction and history records, and define the actual gaming/payment scenarios to test. Evaluate alerts and missed-event cases on representative data before promoting changes. AI explanations support the investigator’s decision; they do not make a regulatory filing or player intervention automatic. Reporting and other Continuum components must be selected explicitly, and experimental capabilities are not assumed part of a production release.
Who should explore it?
Gambling AML teams validating transaction scenarios and reviewing explainable alerts.
- Detect configured suspicious transaction patterns
- Compare proposed rule changes before production approval
Documented capabilities
- Governed detection rules
- AI-supported activity analysis
- Rule version history
- Sandbox simulation/testing
- Case and investigation context
Reported in the linked public sources. We have not independently tested these capabilities.
Product details
- AML monitoring
- Transaction-pattern detection and investigation evidence, distinct from name screening.Source
- Detection design
- Typology library and no-code rules combined with AI-supported risk views; configuration is governed and versioned.Source
- Required records
- Customer transaction history and selected behavioural/watchlist context must be mapped to the implementation.Source
- Testing and cases
- Sandbox testing before promotion, with case workflow, audit trail and human-controlled review.Source
- Gaming use context
- Current gambling material addresses online sports wagering and iGaming AML challenges; actual connected sources must be established.Source
Delivery & commercial details
- Delivery & integration
- Map customer/transaction history, configure scenarios and case permissions, validate rule/AI evidence in the sandbox and define production promotion and escalation.Source
- Pricing
- Obtain monitoring-volume, rules/models, deployment, data integration, cases, reporting and support terms for the actual solution scope.
Confirm market availability, rights, service levels and contractual terms for your implementation. API availability alone does not establish a named integration.
Buyer questions, answered
Can rules be changed without going straight into production?
The product describes building and testing scenarios in a sandbox with production behaviour or buyer datasets, with version history and controlled promotion.
SourceDoes an AI explanation complete an investigation?
No. The product presents risk patterns and explanations within the analyst task, with human judgment in control. Define evidence review, escalation and any reporting steps separately.
Source