Deploying Compliance-Secure Conversational AI in Retail Banking
Designing and launching a generative customer service platform meeting EU AI Act High-Risk systems criteria and strict data privacy regulations.
The Challenge
The client aimed to leverage LLM-based customer service agents to handle account inquiries and support queues. Under the new EU AI Act guidelines, financial AI tools interacting with customer portfolios are classified as High-Risk systems. This requires absolute transparency, explainable responses, drift monitoring, and strict GDPR data governance before deploying to production.
Architecture and Operational Alignment
AI Governance Compliance Structure
The Solution
We established an AI governance model with automated prompt testing, compliance check-gates, and real-time response quality monitoring. An active filtering pipeline checks user requests and model replies for bias, toxic language, or PII leakage, blocking responses immediately if they violate security policies. LLM outputs are linked to audit logs to ensure full explainability during regulatory reviews.
LLM Token Usage Distribution by Service Area
Performance Metrics (KPIs)
| Key Performance Indicator (KPI) | Target | Actual Result | Status |
|---|---|---|---|
| Customer Satisfaction (CSAT) | > 15% increase | +22% CSAT | Target Exceeded |
| Automated Query Resolution | > 60% resolution | 68% resolved | Target Exceeded |
| Response Output Latency | < 1.5 seconds | 1.1 seconds | Highly Responsive |
| Compliance Audit Rate | 100% logging | 100% logged | Perfect Compliance |