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Interface.ai

AI-powered virtual assistant tailored for banks and credit unions.

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What is Interface.ai?

Interface.ai is a voice-based AI assistant designed specifically for banks and credit unions. It automates routine customer interactions through phone channels, handling everything from balance inquiries to transaction processing. The platform uses voice biometrics for secure authentication, eliminating the need for traditional security question verification. Support spans over 100 languages, making it suitable for institutions serving diverse member populations. The primary goal is to reduce call centre costs whilst maintaining or improving customer service quality, with particular focus on handling member inquiries, account transactions, and fraud prevention. Unlike generic AI assistants, Interface.ai is built with banking domain knowledge and integrates with existing financial systems. The platform operates on performance-based pricing, meaning costs align with actual usage and results rather than fixed fees.

Key features

Voice-based AI assistant (Sphere)

Handles customer inquiries and transactions via phone interactions

Voice biometrics authentication

Secure caller verification using voice patterns rather than security questions

Multi-lingual support

Operates across 100+ languages for diverse member populations

Call centre automation

Routes and handles routine inquiries to reduce manual workload

Banking-specific AI model

Purpose-built natural language understanding trained for financial contexts

Performance-based pricing

Costs align with usage and outcomes rather than flat monthly fees

Pros & cons

Advantages

  • Purpose-built for banking rather than generic AI assistants, reducing implementation complexity
  • Voice authentication provides security without adding friction to the member experience
  • Supports extensive language diversity for institutions with international member bases
  • Reduces operational costs by automating high volumes of routine inquiries

Limitations

  • Requires integration with existing banking systems and customer databases
  • Limited to voice channel; separate solutions needed for web chat, email, or messaging platforms
  • Requires training period to optimise performance for specific institution workflows and member base

Use cases

Automating routine account inquiry calls to reduce call centre staffing needs during peak hours

Providing 24/7 member support for basic transactions and balance checks without human agents

Handling high-volume periods (month-end, quarter-end, tax season) without temporary hiring

Screening and routing fraud-related calls to appropriate human teams

Supporting multilingual member bases with consistent service quality across different languages

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Pricing

Custom (Performance-Based)

Contact for pricing

Pricing based on call volume, transaction processing, outcomes, and integration complexity

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