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

Ringg's AI customer-service agents, powered by OpenAI's GPT-5.6, now autonomously resolve up to 65% of inbound customer calls across multiple languages and channels at roughly one-tenth the inference cost of GPT-4.1, a 90% cost reduction. The cost drop makes full voice deployment, not just text deflection, economically viable at enterprise scale, according to OpenAI.

OpenAI https://openai.com/index/ringg Ringg’s AI agents resolve up to 65% of customer calls with OpenAI Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated. Ringg's AI agents, powered by GPT-5.6, now resolve up to 65% of customer calls autonomously across multiple channels, reducing costs by 90% compared to GPT-4.1. This enables enterprise-scale deployments of multilingual conversational AI with significantly lower operational expenses. Voice/chat agents on GPT-5.6 are running at roughly one-tenth the cost of GPT-4.1 while autonomously resolving up to 65% of inbound customer calls across multiple languages and channels. That cost collapse makes full voice deployment—not just text deflection—economically viable at scale, so if you've been gating agent rollouts on per-call inference spend, the math has fundamentally changed and the deflection ceiling is now high enough to displace significant human support headcount.