{"slug":"wonderful-cuts-enterprise-customer-service-costs-up-to-70-with-multilingual-gemini-voice-agents","url":"https://findausecase.com/use-cases/wonderful-cuts-enterprise-customer-service-costs-up-to-70-with-multilingual-gemini-voice-agents","title":"Wonderful cuts enterprise customer service costs up to 70% with multilingual Gemini voice agents","description":"Wonderful built enterprise-grade AI agents on Google Cloud's Gemini and Vertex AI that operate across voice, text, and email in dozens of languages and local dialects, expanding across EMEA markets including Arabic, Czech, French, Greek, Dutch, and Italian. Early deployments let contact centers handle thousands of simultaneous conversations, cutting enterprise costs by around 70% per minute of AI-handled call or chat, and one banking client built a promotional AI agent in four days versus the weeks it would have taken 50 people previously.","company":"Wonderful","industry":"Technology & Software","country":"Israel","aiCapabilities":["Conversational AI","Agentic AI"],"businessFunctions":["Customer Service & Support"],"technology":["Gemini","Vertex AI","Compute Engine","Cloud Storage","Google Kubernetes Engine (GKE)"],"deployment":"Public Cloud","problemStatement":"The majority of large language models are trained on English-language content, meaning many AI solutions are optimized for only a small share of the world's markets; one-size-fits-all gen AI could not adapt naturally to local languages and cultural expectations across the dozens of markets global enterprises serve.","solutionApproach":"Wonderful built enterprise-grade AI agents on Google Cloud's Gemini and Vertex AI that operate across voice, text and email in dozens of languages and local dialects, using a real-time multimodal voice pipeline that stitches together speech and reasoning models, a Zero Data Retention configuration for in-memory-only processing, and Compute Engine, Cloud Storage and GKE for its full Google Cloud deployment.","businessValue":"Early deployments helped contact centers handle thousands of simultaneous conversations, improving containment rates while reducing response times and costs, with every minute of a call or chat handled by an AI agent reducing enterprise costs by around 70%; one banking client created a promotional agent in just four days versus the several weeks it would have taken 50 people.","evidence":{"band":"high"},"sourceUrl":"https://cloud.google.com/customers/wonderful","dates":{"publishedAt":"2026-10-09T05:45:24.705Z","publishedAtSource":"pipeline","updatedAt":"2026-10-09T05:45:24.705Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/wonderful-cuts-enterprise-customer-service-costs-up-to-70-with-multilingual-gemini-voice-agents. Bulk republication requires permission."}