Conversational AI in banking: Use cases and benefits

• Conversational AI enables 24/7 banking support, reducing call volume by up to 40% and lowering per-call costs to approximately 35 cents compared to $9 for human agents.
• ElevenLabs' Eleven v4 Turbo, described as a voice model built for live conversation, achieved a median response time of 142ms in a September 2026 benchmark and supports over 90 languages and accents.
• Banks implement conversational AI for account onboarding, dispute resolution, and fraud alerts, using RAG for context-aware responses while prioritizing internal generative AI use to mitigate hallucination risks.
• Security and compliance are maintained through SOC 2 Type II, ISO 27001, and PCI DSS certifications, with Zero Retention Mode ensuring sensitive data is deleted immediately after processing.

Implementation and Metrics

• Key performance indicators include resolution rate, escalation rate, and compliance-adherence checks to track operational impact and service quality.
• Voice AI processing involves five stages: caller verification, understanding via Scribe v2 and Eleven v4 Turbo, rapid response, natural interruption handling, and timely human handoff.
• ElevenAgents provides four core controls for risk and compliance teams: deterministic workflow rules, full audit trails, complete visibility with simulation testing, and human intervention for sensitive cases.

Customer Case Studies

• Customers Bank, a $25 billion asset US bank, deployed three ElevenAgents-based agents for 24/7 support, onboarding, and staff coaching, with a phased rollout planned.
• Klarna launched a voice agent built with ElevenAgents, available to all 35 million Klarna customers in the US, resulting in up to 10x faster resolution for simple inquiries and reduced phone wait times.