Customer Experience Use Cases

Customer Experience
on Vertex AI

AI agents that transform customer interactions — conversational agents that understand intent, personalisation engines that predict needs, and contact centre AI that deflects volume at scale.

How customer experience agents on Vertex AI work

The three agents in this section cover customer conversations, personalisation and the contact centre. They use Gemini for understanding and generation, with Google Cloud services supplying the conversation, retrieval and recommendation layers.

The Conversational AI Agent is built on Vertex AI Agent Builder and Dialogflow CX and resolves customer queries across channels. The Personalisation Engine uses Vertex AI Recommendations AI and BigQuery ML to choose what to show each user. The Contact Centre AI service implements Google Cloud Contact Center AI, including Agent Assist, automated summarisation and virtual agents, to reduce handling time and after-call work.

The conversational and personalisation agents typically take 3 weeks. Contact Centre AI takes 4 to 6 weeks.

Which customer experience agent fits which job

AgentJob it doesMain Google Cloud servicesTypical delivery
Conversational AI AgentResolves customer queries autonomously across channelsVertex AI Agent Builder, Dialogflow CX, Gemini, Vertex AI Search, Cloud Run3 weeks
Personalisation EngineServes the right product, content or offer to each user in real timeVertex AI Recommendations AI, BigQuery ML, Gemini3 weeks
Contact Centre AISupports human agents and handles routine calls with virtual agentsGoogle Cloud Contact Center AI: Agent Assist, summarisation, virtual agents4 to 6 weeks

Frequently asked questions

Which agent should we start with?

Start with the problem that costs most today. Choose the conversational agent for slow response times, the personalisation engine for generic recommendations, and Contact Centre AI for high handling time and after-call work.

Does the conversational agent hand off to people?

Escalation to human agents is part of the design, and we agree the rules for it during scoping.

Do we need to use Google Cloud already?

The agents run on Vertex AI, so a Google Cloud project is required. If your data lives elsewhere, we scope how it reaches Google Cloud during planning.

How does this compare with Azure or Agentforce?

Our platform comparison guides cover when Vertex AI is the better fit. It tends to suit teams whose data is in BigQuery or who work in Google Workspace.

How is the work priced?

Each agent is delivered as a fixed-price build, scoped on a 30-minute call.

Ready to transform your customer experience with Vertex AI?

Book a 30-minute scoping call. We will identify the right CX use case and give you a fixed-price delivery plan.

Vertex AI Customer Experience Agents | Kovil AI