Ringg’s AI agents resolve up to 65% of customer calls with OpenAI

NewVerified

AI agents handle customer calls and messages across voice, chat, and web.

8.3 (61.406 score)

contactAPI Available

Overview

Ringg uses OpenAI's models to deploy multilingual AI agents that automatically resolve customer inquiries across multiple channels. It's built for contact centers and customer service teams looking to reduce operational costs while maintaining quality support. The platform resolves up to 65% of customer calls without human intervention.

Pros

Resolves up to 65% of customer calls automatically
Supports voice, chat, WhatsApp, and web channels
Works in multiple languages for global teams
Significantly reduces cost per customer interaction
Integrates with existing CRM and helpdesk systems

✕ Cons

Pricing not publicly available, requires direct contact
Success rates vary by industry and use case
May require fine-tuning for specialized customer contexts

Key Features

Multilingual voice and chat agents

Multi-channel integration

Call deflection and resolution

Human handoff capabilities

Analytics and reporting

Custom knowledge base training

Use Cases

Contact centers automating inbound customer support callsE-commerce reducing response time for order inquiriesHealthcare providers handling appointment and billing questionsSaaS companies managing common technical support requests

Best For

Customer Support TeamsHigh-Volume Call CentersGlobal Support OperationsE-commerce BusinessesSaaS Companies

Frequently Asked Questions

What is the pricing model for Ringg's AI agents?▾

Ringg uses a per-interaction or usage-based pricing model tied to call volume and resolution rates. Contact their sales team for custom quotes based on your call volume and specific requirements.

How difficult is it to set up and get started?▾

Setup involves connecting your communication channels (voice, chat, WhatsApp, web) and configuring your knowledge base, which typically takes days to weeks depending on complexity. The platform includes onboarding support to accelerate deployment.

What systems and channels does Ringg integrate with?▾

Ringg supports voice calls, chat, WhatsApp, and web channels, plus integrations with major CRM and helpdesk platforms. Custom API integrations are available for connecting additional business systems.

What are the main limitations of Ringg's AI agents?▾

The 65% resolution rate means complex or highly specialized issues still require human agents. Multi-language support, while broad, may have varying accuracy across less common languages.

What is the ideal use case for Ringg?▾

Ringg is best for high-volume customer support teams handling repetitive inquiries across multiple channels, such as billing questions, account lookups, and status checks. It's especially valuable for global teams needing multilingual support at scale.