Skip to main content
Cloud / Google Cloud / Products / Gemini Enterprise for CX - AI-Powered Customer Service

Gemini Enterprise for CX - AI-Powered Customer Service

Gemini Enterprise for Customer Experience (formerly Contact Center AI) automates customer service with AI agents, agent assist, and CX insights.

AI/ML
Pricing Model Usage-based (e.g. sessions/minutes), details via provider
Availability Global with EU regions
Data Sovereignty EU data residency available
Reliability SLA as published by the provider SLA

Gemini Enterprise for Customer Experience brings Google’s current AI models into customer service. Agentic solutions automate customer interactions and support human agents in real time.

What is Gemini Enterprise for Customer Experience?

Gemini Enterprise for Customer Experience is the current name for Google’s suite of AI products for customer service and commerce, previously marketed as Contact Center AI (CCAI) and briefly as Customer Engagement Suite. The solution is built on Google’s current Gemini models and lets businesses deploy AI agents across the entire customer lifecycle, from product discovery to post-purchase support.

The platform can connect to existing contact center infrastructure or run as a standalone, cloud-native solution.

Core Components

Commerce Agents

Prebuilt end-to-end agents for commerce use cases such as product discovery, ordering, and post-purchase support, with more complex reasoning capabilities.

CX Agent Studio

A tool for building custom AI agents with generative and deterministic capabilities, including a visual interface that can turn existing chat transcripts and documents into functioning agents.

Agent Assist

Real-time support for human agents: generated response suggestions, in-call coaching, and live translation.

CX Insights

Analysis of customer interactions to surface KPIs, trends, and improvement opportunities.

Typical Use Cases

Automated Customer Self-Service

Common requests such as order status, appointment booking, or product questions are handled automatically by AI agents, with complex cases handed off to human agents.

Real-Time Agent Assistance

Human agents receive relevant information and suggested responses during the conversation, which can reduce handle time.

Conversation Analytics for Quality Management

Automated analysis of customer interactions, instead of manual sampling, helps identify training needs and process improvements.

Benefits

  • Agentic approach: End-to-end AI support from first contact to post-purchase care
  • Faster implementation: Prebuilt agents and visual tools reduce development effort
  • Improved customer experience: Consistent responses and shorter wait times
  • Scalable: From smaller volumes to very high interaction counts

Integration with innFactory

As a certified Google Cloud Partner, innFactory helps you implement Gemini Enterprise for Customer Experience: needs analysis, agent design, integration with existing systems, and ongoing optimization.

Available Tiers & Options

Agent Assist

Strengths
  • Real-time suggestions for agents
  • Coaching and live translation
  • Reduces handle time
Considerations
  • Requires training data

CX Insights

Strengths
  • Conversation analytics
  • KPI and trend detection
Considerations
  • Requires sufficient conversation volume

Typical Use Cases

AI agents for customer service (chat, voice)
Live agent assistance and coaching
Customer conversation analytics
Automated customer self-service

Technical Specifications

Components Commerce Agents, CX Agent Studio, Agent Assist, CX Insights
Languages Multilingual, including German

Frequently Asked Questions

What is Gemini Enterprise for Customer Experience?

Gemini Enterprise for Customer Experience (previously Contact Center AI, and briefly Customer Engagement Suite) is Google's agentic solution for customer service and commerce. It combines customer-facing AI agents with support tools for human agents on a single platform built on Google's current Gemini models.

How does it relate to Dialogflow?

Dialogflow CX remains the underlying technology for many conversation flows and stays accessible via its APIs. Gemini Enterprise for Customer Experience is the broader, agentic solution layered on top, adding Agent Assist, CX Insights, and an agent studio for building custom agents.

What components does the solution include?

The core components are Commerce Agents for shopping and ordering use cases, CX Agent Studio for building generative and deterministic agents, Agent Assist for real-time support of human agents, and CX Insights for analyzing customer interactions.

How much does Gemini Enterprise for Customer Experience cost?

Billing is usage-based, for example by sessions or minutes used per component. Current prices and models are available through Google Cloud's official pricing documentation or via sales.

Can this solution be used in a GDPR-compliant way?

Google offers data processing in EU regions for this solution and provides a Data Processing Addendum along with compliance certifications. The specific configuration required for GDPR compliance depends on the individual use case.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.

Google Cloud Partner

innFactory is a certified Google Cloud Partner. We provide expert consulting, implementation, and managed services.

Google Cloud Partner

Similar Products from Other Clouds

Other cloud providers offer comparable services in this category. As a multi-cloud partner, we help you choose the right solution.

AWS

Amazon Augmented AI (A2I) - Human Review for ML

Amazon Augmented AI (A2I) enables human review of ML predictions. Human-in-the-loop workflows for AI quality assurance.

Pricing Pay-per-use: price per human review task
SLA SLA as published by the provider (A2I is part of Amazon SageMaker AI)
Compare →
AWS

Amazon Bedrock AgentCore - AI Agent Runtime

Amazon Bedrock AgentCore: serverless runtime and services to securely run, scale, govern and observe production AI …

Pricing Pay-per-use (consumption-based, …
SLA N/A
Compare →
AWS

Amazon Bedrock Agents (Classic): Status and Alternative

Amazon Bedrock Agents is now Bedrock Agents Classic and in maintenance mode. AWS recommends Bedrock AgentCore for new …

Pricing Pay-per-use (model tokens and connected …
SLA SLA as published by the provider
Compare →
AWS

Amazon Bedrock Data Automation - Structure Data

Amazon Bedrock Data Automation turns documents, images, audio, and video into structured outputs via API: for IDP, media …

Pricing Pay-per-use (per page / per image / per …
SLA N/A
Compare →
AWS

Amazon Bedrock Guardrails - Safety for Generative AI

Amazon Bedrock Guardrails filters harmful content, protects PII, and checks responses for factual accuracy, …

Pricing Pay-per-use (billed per evaluated text …
SLA SLA as published by the provider
Compare →
AWS

Amazon Bedrock Knowledge Bases: Managed RAG

Amazon Bedrock Knowledge Bases: a fully managed RAG service for precise, verifiable AI answers grounded in your …

Pricing Pay-per-use (embeddings, vector storage, …
SLA 99.9%
Compare →

80 comparable products found across other clouds.

Ready to start with Gemini Enterprise for CX - AI-Powered Customer Service?

Our certified Google Cloud experts help you with architecture, integration, and optimization.

Schedule Consultation