What challenges did Wonderful face before AI implementation?

Deploy real-time multilingual voice agents with low latency, reliability, and security. Support high-quality customer service automation beyond English across many local markets and dialects. Scale AI agent operations cost-effectively while protecting sensitive enterprise data with Zero Data Retention.

What was the impact of the AI solution?

Early deployments helped contact centers handle thousands of simultaneous conversations. The company reports improved containment rates and reduced response times and costs. Wonderful says every minute of a call or chat handled by an AI agent can reduce enterprise costs by around 70%. A banking client created a promotional agent in four days, compared with several weeks of work previously required.

Source

GCPExploringEvidence: High75/100

Wonderful: Gemini + Vertex AI to deploy multilingual enterprise voice customer-service agents (ZDR, EMEA)

Use case typeCustomer service automationUpdated Jun 13, 2026

Wonderful builds enterprise-grade AI agents that operate across voice, text, and email for customer service and internal workflows across multiple languages and markets. The company uses Google Cloud to deliver low-latency multilingual interactions and to support rapid deployment and local adaptation for enterprise customers.

Organization: Wonderful
Industry: Tech & Comms
Location: United Arab Emirates
Published: May 2026

Reported outcomes

−70%

costCost savings

Strategic outcomes

New product / capabilityDeployed multilingual voice customer-service agentsRisk & complianceProtected sensitive data with in-memory handlingScale & capacityHandled thousands of simultaneous conversationsSpeed & agilityEnabled rapid promotional agent deployment

Catalog median for cost savings deployments: −40% across 177 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 70% decrease

Google Cloud Customer StoriesMay 15, 2026Customer storyInferred claimHigh evidence strength

Wonderful says every minute of a call or chat handled by an AI agent can reduce enterprise costs by around 70%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Wonderful
Provider: GCP
Maturity: Exploring
Linked source: Google Cloud Customer Stories

Wonderful also uses Gemini for AI-as-a-judge evaluation and for retrieval and reasoning tasks across complex policy and customer interactions

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Customer Service Automation
2Conversational AI
3Multilingual AI

Deploy real-time multilingual voice agents with low latency, reliability, and security.
Support high-quality customer service automation beyond English across many local markets and dialects.
Scale AI agent operations cost-effectively while protecting sensitive enterprise data with Zero Data Retention.

Wonderful began its Google Cloud journey with Gemini and Vertex AI.
Vertex AI is used for model orchestration, while Gemini powers the real-time voice pipeline across dozens of languages.
The solution leverages Google Kubernetes Engine, Compute Engine, and Cloud Storage for operations, and uses a Zero Data Retention configuration so data is handled in-memory only.
Wonderful also uses Gemini for AI-as-a-judge evaluation and for retrieval and reasoning tasks across complex policy and customer interactions.

Technologies

Gemini Vertex AI Google Kubernetes Engine Compute Engine Cloud Storage

Early deployments helped contact centers handle thousands of simultaneous conversations.
The company reports improved containment rates and reduced response times and costs.
Wonderful says every minute of a call or chat handled by an AI agent can reduce enterprise costs by around 70%.
A banking client created a promotional agent in four days, compared with several weeks of work previously required.

Architecture

Google Cloud deployment using Gemini and Vertex AI, with Google Kubernetes Engine, Compute Engine, and Cloud Storage. Vertex AI supports model orchestration, Gemini powers the real-time multilingual voice pipeline, and Zero Data Retention keeps processed data in-memory only.

Sources & evidence2

Evidence: High75/100Evidence strength