Google Contact Center AI, often shortened to CCAI, has a new name. Google Cloud first rebranded it as Customer Engagement Suite with Google AI, and in January 2026 introduced Gemini Enterprise for Customer Experience (CX). If you are searching for “contact center AI” on Google Cloud, this is the product family you are looking for.
This guide explains what is in it today, what contact centers use it for and how to adopt it step by step without replacing everything at once. We update it as Google’s naming changes. Last updated October 2026.
Contact Center AI, Customer Engagement Suite and Gemini Enterprise for CX: the names explained
The same family of products has been sold under three names:
- Contact Center AI (CCAI): the original name, still common in documentation, partner material and search results.
- Customer Engagement Suite with Google AI: the rebrand that added generative AI to the family.
- Gemini Enterprise for Customer Experience (CX): the current name in Google Cloud’s documentation and on its product pages.
You will also still see older component names. Dialogflow CX, Agent Assist and the CCAI Platform all appear in Google’s documentation, and when a vendor says “CCAI” they usually mean this same family.
What is in Gemini Enterprise for Customer Experience?
Google’s documentation lists the building blocks below. You can adopt one or several of them.
Customer Experience Agent Studio (CX Agent Studio)
This is where you build AI agents that combine generative AI with deterministic, rules-based behavior. The generative part keeps conversations natural. The deterministic part makes sure the agent follows the steps your business requires, such as verifying a customer before it shares account details. Agents are built, tested and deployed for self-service over chat and voice.
Agent Assist
Agent Assist supports your human agents in real time with generated responses and coaching. Documented features include generative knowledge assist, summarization, smart reply and live translation.
Customer Experience Insights (CX Insights)
CX Insights analyzes your operations data to produce KPIs, inquiry topic categories and areas for improvement, including call drivers and sentiment. It gives supervisors and quality teams a view across all of your conversations rather than a small manual sample.
CCaaS (CCAI Platform)
For organizations that want a complete platform, Google offers Contact Center as a Service, called CCaaS (CCAI Platform) in the documentation. Google describes it as an AI-driven contact center platform built natively on Google Cloud. It queues and routes phone calls and digital interactions, works alongside your CRM, and uses the other Gemini Enterprise for CX products at its core.
If you already run a contact center platform, whether you can add the AI products to it, or whether a move to CCaaS makes sense, depends on your telephony and CRM stack. We confirm that during discovery.
Commerce agents and AI Commerce Search
For retailers and restaurants, Google also offers Commerce agents, which connect chat and voice interfaces to backend tools so an agent can handle complex requests, and AI Commerce Search, which provides search, browse and recommendations for digital properties. At its January 2026 launch Google highlighted a Shopping agent and a Food Ordering agent.
What contact centers use it for
- Self-service for routine requests: order status, appointment changes, account questions, with a handoff to a person when the agent should not continue.
- An assistant for human agents: suggested answers drawn from your knowledge base, and summaries after a call or chat.
- Quality and coaching at scale: analyzing conversations across the whole operation instead of a sample.
- Multilingual support: live translation for agents who do not speak the customer’s language.
- Retail and restaurant ordering: guided shopping and ordering across chat, voice and other channels.
How to adopt it: a practical path
This is the sequence we recommend. It keeps the first project small enough to finish and useful enough to learn from.
- Pick one or two use cases. Start where volume is high and the right answer is clear, such as order status or appointment changes, rather than your hardest queue.
- Audit your knowledge and data. An agent is only as good as the articles, policies and systems behind it. Clean up the knowledge base and decide which systems the agent may read from or write to.
- Decide on the platform. Map your telephony, CRM and routing, then decide whether to add AI to your current contact center or move to CCaaS (CCAI Platform).
- Design guardrails and escalation. Define what the agent may do, when it hands off to a person, and how conversations are logged and reviewed.
- Pilot with real traffic. Launch to a small share of contacts, with human review, and compare the results against your current baseline.
- Measure and expand. Track containment, handle time, transfers and customer satisfaction, then add intents and channels.
How Premier Cloud helps
If you need custom agents beyond the contact center, read our guide to Vertex AI, now called Gemini Enterprise Agent Platform. And if you are comparing this with Google’s AI platform for your own workforce, see how Gemini Enterprise differs from Gemini in Workspace and NotebookLM.
Frequently asked questions
Is Google Contact Center AI still a product?
Yes, under a new name. Contact Center AI became Customer Engagement Suite with Google AI and is now presented as Gemini Enterprise for Customer Experience (CX). The core capabilities remain: virtual agents, Agent Assist, conversation analytics and a contact center platform.
What is the difference between CCAI, Customer Engagement Suite and Gemini Enterprise for CX?
They are names for the same product family at different points in time. Use the current name when you search Google Cloud’s documentation, and the older names to find older articles and partner material.
Do we have to replace our contact center platform?
Not necessarily. Google offers its own CCaaS, but depending on your telephony and CRM stack you may be able to add AI to the platform you have. We confirm what is possible during discovery.
Will AI replace our human agents?
The documented design has the two working together. Virtual agents handle routine requests and hand off when needed, and Agent Assist helps people with generated responses, summaries and coaching.
How much does it cost?
Pricing depends on the products you use and your volumes. Check Google Cloud’s pricing pages for current rates, and we can help estimate costs for your volumes as part of discovery.
Where should we start?
With one use case and a pilot. Book a discovery call and we will help you scope it.
