AML Investigation

When an alert triggers for potential money laundering, someone needs to investigate. This means tracing where money came from, where it's going, who controls the entities involved, and whether the activity aligns with stated business purposes. For simple cases—salary deposits, routine business payments, verified customer profiles—investigation takes 15-30 minutes. For complex cases, it takes days or weeks.

Complex investigations require analysts to piece together fragments from multiple systems. Customer profiles are in the CRM. Transaction histories are in the core banking system. Beneficial ownership documents are in the KYC archive. Corporate registry searches happen externally. Adverse media checks run through separate screening tools. Building a complete picture means manually aggregating data from six different sources.

Beneficial ownership investigations are particularly challenging. A customer lists ownership through three holding companies registered in different jurisdictions. Each holding company has its own ownership structure. Tracing these chains manually means requesting corporate documents, verifying registry information, and cross-referencing ownership percentages across multiple entities. A single investigation can consume two full days of analyst time.

Source-of-wealth investigations face similar complexity. A customer declares real estate income as their wealth source. Your analyst needs to verify property ownership, assess market values, confirm rental income matches bank deposits, and determine if the timeline makes sense. This requires external property searches, income verification, market research, and timeline analysis. Most banks lack the tools to do this efficiently.

Transaction network analysis happens rarely because it's too labor-intensive. Following money through intermediary accounts, identifying circular flows, mapping relationship networks between counterparties—these investigations require days of manual work. By the time an analyst completes the investigation, the scheme has often evolved or funds have already moved.

Documentation is inconsistent. Different analysts investigate differently. Some create detailed case files. Others write minimal notes. When regulators request investigation files three years later, you're hoping the analyst documented everything properly. Quality depends entirely on individual work habits, not systematic process.

Mirsad AI conducts full AML investigations with the same cognitive reasoning as experienced compliance officers, but with complete access to all data sources and systematic documentation of every investigation step.

Rasid handles initial investigation for every alert. It doesn't just see a transaction amount and counterparty name. It examines the customer's complete profile—occupation, income sources, business nature, transaction history, geographic connections, relationship networks. It assesses: Does this transaction make sense for this customer? Is the amount consistent with declared income? Does the counterparty align with stated business activities?

For a $150,000 wire transfer from a customer who works in construction, Rasid investigates: Is this customer an employee or business owner? What are their declared income levels? Do they have construction company contracts? Is the recipient a verified supplier or subcontractor? Does the payment timing align with project milestones? The system builds context, not just flags anomalies.

When context confirms legitimacy—construction company owner paying verified supplier for materials, invoice documentation matches payment amount, relationship history spans two years—Rasid clears the case with complete documentation. When context raises questions—payment to new entity in high-risk jurisdiction, amount exceeds normal project costs, no supporting documentation—Rasid escalates to Muhaqqiq.

Muhaqqiq conducts enhanced due diligence. For beneficial ownership investigations, it traces ownership chains across corporate structures automatically. A holding company in Cyprus owns a trading company in Dubai that controls the customer entity. Muhaqqiq maps the entire structure, identifies all beneficial owners, screens each for PEP status and sanctions, assesses cumulative risk, and determines if the structure indicates legitimate business or money laundering concealment.

For source-of-wealth investigations, Muhaqqiq analyzes documentation systematically. Customer declares inheritance as wealth source? Muhaqqiq verifies estate documentation, assesses asset valuations, confirms timeline consistency, cross-references with banking activity. Customer claims real estate income? Muhaqqiq validates property ownership, evaluates rental market rates, compares declared income against actual deposits.

Transaction network analysis happens automatically. Muhaqqiq traces funds through intermediary accounts, identifies circular flows between related entities, maps relationship networks among counterparties. When transactions flow from Entity A to Entity B to Entity C and back to Entity A through multiple intermediaries, Muhaqqiq recognizes the layering scheme and documents the complete network.

For trade-based money laundering, Muhaqqiq examines trade documentation systematically—invoices, shipping records, product descriptions, pricing, market comparables. When a customer imports automotive parts valued at 300% above market rates from a shell company in a high-risk jurisdiction, Muhaqqiq flags the discrepancy and evaluates if this indicates value transfer disguised as trade.

Muhtasib prepares complete Suspicious Activity Reports when investigations confirm money laundering indicators—unexplained wealth sources, complex beneficial ownership structures designed to obscure control, transaction networks indicating layering. It compiles all investigation evidence, documents the reasoning, applies jurisdiction-specific regulatory templates, and creates case files ready for your compliance officer's signature.

Investigation quality becomes consistent. Every case receives systematic analysis—beneficial ownership verification, source-of-wealth assessment, transaction network mapping. Quality doesn't depend on which analyst handles the case or how busy they are. The investigation standard is embedded in the system.

Investigation speed increases dramatically. What took senior analysts two days now completes in hours. Beneficial ownership chains are traced automatically. Source-of-wealth documentation is verified systematically. Transaction networks are mapped comprehensively. Your team receives investigation-ready case files, not raw alerts requiring research.

Detection improves because investigations go deeper. Muhaqqiq identifies complex ownership structures that manual reviews might miss. It recognizes trade-based money laundering through systematic pricing analysis. It maps transaction networks that individual analysts couldn't piece together. Sophisticated money laundering schemes get detected with better evidence.

Documentation becomes audit-ready by default. Every investigation includes complete reasoning—what was analyzed, what evidence was reviewed, what conclusions were reached. When regulators request files, you provide systematic investigation documentation, not scattered notes. Examination findings decrease because investigation quality is provable.

Your analysts transform from investigators to reviewers. Instead of spending days tracing beneficial ownership chains or mapping transaction networks, they review Muhaqqiq's complete investigations. They validate conclusions, apply institutional judgment, and handle complex cases requiring external coordination. The system learns from your decisions—every investigation your team reviews feeds back into the model.

Integration connects Mirsad to all investigation data sources—customer profiles, transaction histories, KYC documentation, corporate registries, beneficial ownership records. Complete investigation requires complete data access.

Weeks 1-2: API connectivity and data mapping. We integrate with your core banking system, CRM, KYC archive, and any external data sources you use for investigations. Test environment setup with historical case files for model calibration.

Weeks 3-4: Investigation workflow configuration. Your team defines escalation criteria, risk rating thresholds, and documentation standards. We calibrate investigation depth—what constitutes sufficient beneficial ownership verification, when source-of-wealth requires enhanced documentation, which transaction patterns trigger network analysis.

Weeks 5-12: Parallel testing. Both systems run independently. Your analysts continue investigating cases through existing processes. Mirsad investigates the same alerts simultaneously. You compare investigation quality, validate conclusions, and measure documentation completeness.

Go-live criteria: 98%+ investigation accuracy compared to your senior analysts, 10x investigation speed improvement, 100% complete documentation for all cases. Production deployment only after you validate investigation quality against your historical complex cases.

Your data remains in your environment. All customer profiles, transaction records, investigation files stay on your infrastructure. We push model updates and collect anonymized investigation pattern signatures—zero access to customer PII or case details.