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LANCERProject Description
A financial services consultant focused on anti-money laundering (AML) compliance partnered with the Oodles platform to build an AI-powered risk detection framework. The client required an end-to-end architecture for scalable deployment across financial institutions to automate risk scoring, transaction checks, and regulatory audits.
Scope Of Work
The client sought Oodles for designing a customizable AI architecture for AML, CTF, and sanction compliance. Key goals included building modules for client profiling, transaction monitoring, chatbot-driven support, and audit trail visibility. Services spanned technical strategy, module-wise cost/time estimation, and architecture documentation.
Our Solution
solution architecture designed for credit institutions. The framework was planned around core components—risk scoring, real-time transaction monitoring, chatbot-based KYC support, and detailed audit logs—ensuring regulatory alignment and system scalability.
Key Features Implemented:
- Client Risk Scoring Engine: Evaluates customer profiles using ML models and real-time transaction behaviors.
- Transaction Monitoring: Flags suspicious activities using customizable rule-based triggers and anomaly detection.
- Chatbot for Compliance Support: Automates user interactions for onboarding, FAQs, and escalation handling.
- Audit & Logging Module: Maintains traceability of actions across the system for regulatory inspection.