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.Callers read out card numbers and account details on these calls. On the Growth plan you can turn on PII redaction to strip card numbers, SSNs, and other sensitive data from transcripts before they are stored.
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