Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
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Using GPT‑5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT‑4.1.
Key facts
- Using GPT‑5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT‑4.1
- Ringg’s agents now handle more than 7 million connected calls each month, and its customers have an average customer satisfaction (CSAT) score of 4.8
- The company tested GPT‑5.6 Terra against alternatives like Gemini 2.5 Flash, and Terra came out on top
- Operating costs declined by 70% compared with its previous human-led workflow, while Ringg now completes more than 1,000 appointment bookings each day
Summary
GPT‑4.1. Lower costs vs. GPT-4.1 for selected workloads. When call volume rises, customer service operations typically scale by adding people, but this increases the cost and complexity of every interaction. These companies were not only struggling to answer more calls, their customer service agents were also battling fragmented, manual systems to help customers complete tasks, from buying insurance to booking appointments. That experience led Ringg to build an enterprise agent platform with high-efficiency models like GPT‑5.6 at its core, spanning voice, chat, WhatsApp, and the web.