Auralis AI provides advanced and customized AI solutions for customer experience (CX) teams. Their conversational AI handles a significant portion of customer requests, drastically reducing costs and improving customer satisfaction. They offer integrations with major platforms and focus on data protection and privacy, adhering to strict standards. Auralis's AI agents are not created quickly; they require time and effort, resulting in higher-quality responses compared to market alternatives. Their pricing model charges only for successful conversations. They also offer a done-for-you AI transformation service to handle setup, training, testing, and monitoring.
Features & Capabilities
—Handles routine customer queries automatically.
—Provides real-time assistance to support agents.
—Manages ticket routing and prioritization.
—Delivers comprehensive analytics and insights.
—Continuously learns from interactions to improve performance.
—Supports over 100 languages with near-human accuracy.
—Offers ready-to-use integrations with popular platforms.
—Provides comprehensive APIs and webhook support for custom integrations.
—Implements enterprise-grade security including end-to-end encryption, real-time data anonymization, automated PII detection, and 24/7 security monitoring.
—Offers flexible pricing plans based on team size and needs, with options for monthly or annual billing.
—Provides customizable dashboards, detailed reports, and actionable insights.
Industry Focus
Banking, Fintech & InsuranceLogistics and Supply ChainSoftware and SaaSHealthcare and MedicalGovernment and UtilitiesRetail and Ecommerce
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Resolve 50%+ of technical issues without human involvement
Intelligent Escalation
Identify when human touch is needed and route appropriately
Example
Detect frustration, refund requests, or technical complexity → escalate to tier 2
✓
Humans handle only complex cases, improving job satisfaction and resolution quality
Architecture
Customer support agents combine LLMs with knowledge bases, ticketing systems, and escalation logic to handle customer inquiries autonomously while knowing when to hand off to humans.
LLM Core
Large language model for understanding and generating responses
