1. Overview
In financial services and banking, voice AI provides 24/7, automated customer support for a wide range of needs. This vertical is unique due to the high-stakes nature of its interactions, such as fraud detection and large transactions, which demand extreme security, accuracy, and trust. The heavy regulatory environment (PCI DSS, GLBA, etc.) means compliance is a primary design constraint.2. Common Call Intents
This table outlines the most common reasons customers contact a bank or financial institution.3. Common Call Outcomes
This table lists the typical dispositions or final results of banking-related calls.4. Recommended Evaluation Criteria
This section breaks down key evaluation criteria into specific, measurable checks for monitoring and improving agent performance.Security & Compliance
Transactional Accuracy & Quality
5. Compliance & Regulatory Requirements
- Payment Card Industry Data Security Standard (PCI DSS): Governs the secure handling of credit card information.
- Gramm-Leach-Bliley Act (GLBA): Mandates the protection of customers’ non-public personal information (NPI).
- Telephone Consumer Protection Act (TCPA): Restricts the use of automated dialing systems for outbound calls.
- SOC 2: Service providers handling customer data should be SOC 2 compliant to ensure secure data management.
6. Key Performance Benchmarks
- First Call Resolution (FCR): 70-75%
- Average Handle Time (AHT): 4-6 minutes
- Customer Satisfaction (CSAT): 80% or higher