Customer Experience Use Cases

Customer Experience
on Azure AI Foundry

AI agents that resolve customer queries autonomously, personalise at scale, and engage consistently across every channel — built on Azure OpenAI, Copilot Studio, and Azure AI Search.

How customer experience agents on Azure AI Foundry work

The three agents here cover three jobs: answering customer questions from your own content, choosing what to show each customer, and keeping the conversation consistent across channels. All three use Azure OpenAI, with Azure AI Search or Cosmos DB as the memory layer and Semantic Kernel or Copilot Studio to orchestrate.

The customer service agent answers from your support documentation, product guides and policies, indexed in Azure AI Search, and hands off to a person using escalation rules such as sentiment thresholds, query complexity limits and VIP flags. The recommendation agent embeds your catalogue and live behaviour and serves results through Azure API Management. The omnichannel agent keeps shared conversation state across web chat, Teams and email.

Because the agents share the same data and orchestration layers, teams often start with one and add the others later. A Teams bot built in Copilot Studio can go live in under a day.

Which customer experience agent fits which job

AgentJob it doesData it usesWhere customers meet itMain Azure services
AI Customer ServiceAnswers customer questions and escalates what it cannot resolveSupport documentation, product guides, policies, order APIs, CRMThe support channels you chooseAzure OpenAI GPT-4o, Azure AI Search, Copilot Studio, Azure Communication Services, Application Insights
Personalised RecommendationChooses products or content for each userWeb and mobile behaviour signals, CRM history, product catalogueWeb, iOS and Android through an APIAzure OpenAI Embeddings, Azure AI Search vector index, Cosmos DB, Event Hubs, API Management
Omnichannel EngagementKeeps one consistent conversation across channelsShared conversation state, Dynamics 365Web chat, Teams, email and SMSCopilot Studio, Azure Communication Services, Dynamics 365, Service Bus, Azure OpenAI

Frequently asked questions

Which agent should we start with?

Start with the problem that costs you most today. Choose the service agent if support backlog is the issue, the recommendation agent if you have a catalogue and enough behavioural data, and the omnichannel agent if customers contact you in several places and get inconsistent answers.

How does the service agent avoid inventing answers?

It answers from the knowledge base we index for it, and escalation rules hand sensitive, complex or unhappy conversations to a person.

Can it work with our CRM and order systems?

Yes. The service agent connects to your CRM and order APIs, and the omnichannel agent is built around Dynamics 365.

How is conversation data handled?

On the omnichannel agent, conversation history is persisted with 90-day retention and GDPR-compliant deletion.

How is the work priced?

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

Ready to improve your customer experience with AI?

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

Azure AI Foundry Customer Experience Agents | Kovil AI