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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. 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