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What is interface.ai?

interface.ai is a leading AI banking platform that equips credit unions and community banks with intelligent agents for every major touchpoint. Its Voice AI replaces high call volumes with natural, automated support, consistently handling over half of customer calls without human intervention. Digital Chat AI agents extend this efficiency to online and mobile channels, providing personalized, conversational service while reducing call center strain. Employee AI transforms frontline staff operations by sourcing answers, completing backend tasks, and delivering contextual suggestions, resulting in tenfold productivity improvements. Fraud Prevention AI ensures member safety with advanced caller forensics and real-time threat detection, all without adding friction to the experience. The platform’s 40+ ready-made integrations with banking systems, CRMs, and payment gateways enable rapid deployment and instant operational benefits. interface.ai also offers industry-first performance-based pricing, so institutions only pay when measurable results are achieved. Award-winning managed services ensure seamless onboarding, while customers maintain the ability to make adjustments independently once live. Already trusted by over 100 credit unions and banks, it has supported 1.5 billion conversations and protected 16 million members. By uniting efficiency, security, and member satisfaction, interface.ai empowers financial institutions to innovate without compromise.

What is TOMIA?

To effectively manage financial risks and safeguard their reputations, it is essential for operators to address fraud in real-time, particularly in relation to roaming and international calls. Although many telecom providers have set up various preventative measures against fraud, the advent of new technologies reveals further weaknesses that require attention. The integration of defenses against these emerging threats is often a gradual process, causing operators to shift from conventional offline methods to leveraging network enforcement capabilities that can immediately stop fraudulent calls in progress. Systems based on Call Detail Records (CDRs), which depend on successful call logs, tend to neglect failed call attempts, which confines their effectiveness to a more reactive approach. Consequently, there is a growing urgency for operators to take proactive steps to tackle fraudulent activities throughout every phase of the calling process. For example, by monitoring the volume of call attempts made to known black-listed numbers, operators can effectively identify and intercept PBX hacked devices, as fraudsters often cycle through numerous numbers before achieving a successful connection. Additionally, this forward-thinking strategy allows for the detection of behavioral patterns that may signal larger fraud operations, thereby bolstering overall security measures. As fraud continues to evolve, the need for innovative solutions becomes increasingly vital for the telecommunications industry.

Media

Media

Integrations Supported

Fiserv

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

interface.ai

Date Founded

2016

Company Location

United States

Company Website

interface.ai

Company Facts

Organization Name

TOMIA

Date Founded

1999

Company Location

United States

Company Website

tomiaglobal.com/real-time-anti-fraud-raf

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Assistants

Not specified

AI Voice Agents

Not specified

Artificial Intelligence

Chatbot
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Banking

Not specified

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Social Media Integration

Conversational AI

Not specified

Fraud Detection

Not specified

Online Banking

Not specified

Categories and Features

Fraud Detection

Not specified

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