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Clari5 AML Suite for Insurance supports anti-money laundering monitoring across customer onboarding, risk assessment, premium payments, policy changes, claims, surrenders and payouts. It connects relevant customer, policy, transaction, beneficiary and intermediary information to help identify suspicious patterns, investigate alerts with greater context and maintain documented decisions. This helps insurers strengthen risk-based AML controls across the policy lifecycle rather than relying solely on isolated transaction alerts.

Insurance companies may face money laundering risks involving large or unusual premium payments, third-party funding, premium overpayments followed by refund requests, early policy surrenders, repeated policy transactions, beneficiary changes and suspicious claims or payouts. Corporate policies may also present risks involving concealed beneficial ownership or high-risk relationships. Clari5 supports insurance-specific transaction monitoring, customer risk assessment and behavioural analytics to help identify activity that warrants investigation.

Clari5 combines configurable insurance-specific monitoring scenarios with customer behaviour profiling, historical comparisons, peer-group analysis and cross-policy aggregation. It can help identify unusual patterns over time, including activity that individual transaction rules may not flag. Risk scoring and explainable AI support alert prioritisation, helping investigators understand why activity was flagged. Detection effectiveness depends on data quality, scenario configuration and the insurer's risk profile.

Clari5 uses machine learning, risk scoring, behavioural analytics and configurable scenario tuning to help prioritise alerts and reduce unnecessary investigation effort. Its intelligent auto-closure capability can support the closure of eligible low-risk alerts under configured criteria and appropriate quality controls. The objective is to direct investigators towards higher-risk cases without removing necessary oversight. Insurers should validate detection performance, false-positive rates and missed-risk controls using their own historical cases before adopting the solution.

Yes. Clari5 supports agent and intermediary screening, activity and commission pattern analysis, and the identification of unusual concentrations or recurring risk indicators. It also supports monitoring of beneficiaries, payout recipients and third-party payment relationships. By connecting relevant parties and activity, the platform helps compliance teams investigate relationships that may be difficult to identify when information is spread across separate systems.

Clari5 supports structured case investigation, documented decision workflows, audit trails and AI-assisted drafting of Grounds of Suspicion narratives for suspicious transaction reports. The solution also supports reporting workflows, structured data validation and management information dashboards. AI-generated narratives require analyst approval before submission. Insurers remain responsible for determining whether a report is required and ensuring that its contents and submission comply with applicable Financial Intelligence Unit (FIU) requirements.

Clari5's insurance AML solution brief describes support for goAML-based reporting and configurable country-specific STR/CTR formats across multiple jurisdictions. The platform is designed to support insurers operating across different regulatory environments. Before implementation, insurers should confirm coverage for each operating country, including local reporting formats, submission requirements, applicable screening lists and the production status of the required capabilities. Regulatory requirements vary by jurisdiction, and the platform does not guarantee compliance by itself.

Clari5 is designed to integrate with insurance systems, payment channels and relevant external data sources. Its insurance solution brief identifies integration capabilities for core insurance platforms, banking partners and mobile money services such as M-Pesa, MTN Mobile Money and Orange Money. Actual integration requirements depend on the insurer's technology environment, available interfaces, data quality and processing needs. Technical discovery should establish the required integrations, implementation scope, data migration approach and expected performance.

Insurers should establish a baseline before implementation and measure outcomes such as false-positive rates, investigation turnaround time, alert ageing, STR preparation time, reporting quality and investigator productivity. They should also assess implementation and operating costs, integration effort and ongoing model governance. Clari5 supports alert management, investigation workflows and compliance reporting intended to improve operational effectiveness. Actual benefits should be validated through a defined pilot or agreed acceptance criteria rather than assumed from vendor estimates.

Insurers should assess insurance-specific detection capabilities, coverage across the policy lifecycle, explainability of AI decisions, regulatory reporting support, auditability, integration requirements, data security and implementation feasibility. They should also examine how the solution performs against their own risk scenarios and whether outcomes can be measured against agreed objectives. A structured evaluation with Clari5 can help insurers identify gaps in existing controls, validate relevant capabilities and determine whether the platform fits their operational and regulatory requirements.