Proof of Concept: Intelligent Execution Layer for Banking Compliance
From Manual Oversight to Agentic Execution: Modernizing AML & Fraud Operations with Regulatory Precision and Zero Core Disruption
Client Background
In this Proof of Concept (PoC), we profile a representative California-based community bank serving 20,000–30,000 account holders. Operating within a complex regulatory landscape (CCPA, CPRA, and Federal AML requirements), the institution manages core retail and commercial banking services across a regional branch footprint.
Business Challenge
The bank faced a "speed-to-safety" paradox: while transaction volumes and AI-enabled financial threats increased, compliance remained tethered to manual, sequential human reviews.
- Operational Bottlenecks: Prolonged AML/fraud qualification cycles slowed service delivery.
- Scaling Friction: A linear relationship between transaction volume and staffing costs threatened profitability.
- Audit Strain: Evidence trails relied on manual documentation, making regulatory examinations time-consuming and variable in quality.
The Solution
CodeNinja deployed a modular, Agentic AI Intelligent Execution Layer designed to sit above existing infrastructure. This non-disruptive system integrates via APIs with core banking platforms (SAP, ERPs) and transaction monitoring tools.
The solution utilizes Autonomous Qualification Agents to evaluate low-to-mid-risk cases in seconds. Built with a "Regulatory-First" design, it includes an Audit & Explainability Engine that automatically generates human-readable decision logs, ensuring every automated action is transparent and defensible to regulators.
Measurable Outcomes
The deployment methodology projects a 14-week path to full production, yielding significant operational gains:
- 33% Faster Qualification Cycles: Reducing average review times from 45+ minutes to under 30 minutes.
- High-Volume Automation: Shifting routine low/mid-risk cases to AI agents, allowing analysts to focus on high-value investigations.
- Audit Readiness Transformation: Reducing quarterly audit preparation time from weeks to just a few days through automated evidence logging.
- Decoupled Scaling: Breaking the link between transaction growth and hiring needs, enabling sustainable expansion without overhead spikes.
