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Customer Support Agent iconAI Agent

Customer Support Agent

Customer Support Agent that automates customer service workflows using your data and tools.

The challenge

Support runs on office hours while customers write at midnight, so the queue is already deep before anyone logs in. Tickets are sorted and assigned by hand, the same issues are re-solved from scratch each time, and a customer who starts on chat has to repeat everything when they move to email.

The outcome

A Microsoft Foundry agent answers around the clock from approved knowledge in Azure AI Search, and Azure Logic Apps classifies, routes and resolves tickets without a person in the middle. Azure Communication Services keeps chat, email and messaging on one thread, so context follows the customer across channels.

At a glance

Type
ai agents
Category
business

Next step

Move from solution to engagement.

Build This Solution

01 — Architecture

End-to-end architecture

A message arrives on any channel at any hour. Entitlement is resolved, the intent and tier are classified automatically, and the Foundry agent answers from approved knowledge or acts through a tool. Everything it cannot close is raised as a ticket and routed with the full cross-channel thread attached.

CUSTOMERCustomerany channel, any hourCHANNELSCopilot Studiochannelweb · Teams · socialCommunicationServicesemail · SMS · chatAzure Static WebAppshelp centre widgetAPPLICATIONAzure APIManagementgateway · auth · SLAAzure Logic Appstriage & routingAI & AGENTMicrosoft FoundryAgentanswer · act · routeAzure OpenAImodelsreplies & summariesAzure AI Searchknowledge & ticketsAzure AI ContentSafetytone & policy guardDATA & RECORDSAzure SQLtickets & historyAzure Cosmos DBthread stateAzure BlobStorageattachments & logsRESOLUTION & INSIGHTDynamics 365 /CRMcustomer recordHuman agenthandoffcomplex ticketsPower BI / Fabricdeflection & CSATDEVOPS & DELIVERYGitHubsource control & CIDockercontainer buildContainer Registryversioned imagesAgent releasedeploy with rollback
Figure 1 — End-to-end reference architecture for a round-the-clock support agent on the Microsoft stack.
  • Customer: Customer
  • Channels: Copilot Studio channel, Communication Services, Azure Static Web Apps
  • Application: Azure API Management, Azure Logic Apps
  • AI & agent: Microsoft Foundry Agent, Azure OpenAI models, Azure AI Search, Azure AI Content Safety
  • Data & records: Azure SQL, Azure Cosmos DB, Azure Blob Storage
  • Resolution & insight: Dynamics 365 / CRM, Human agent handoff, Power BI / Fabric

02 — Workflow

Process & decision workflow

How a message becomes a resolved ticket at any hour — identify, classify, resolve and close, then branch. In-policy issues are answered or actioned with the source cited, while complex or out-of-policy contacts are routed to a human team with the whole cross-channel thread.

1ReceiveMessage arrives on chat, email or asocial channel2IdentifyCustomer, order and entitlement matchedto the thread3ClassifyIntent, urgency and support tier setautomatically4ResolveGrounded answer or a tool action, withthe source cited5EscalateAnything unresolved routed with the fullcontext6CloseResolution, tags and satisfactionrecorded on the ticketResolved& in policy?Path 1 · resolved by the agentAnswer and closeTicket closed with the source citedPath 2 · complex or out of policyRoute to a human teamAssigned with the full cross-channelthreadTicket updatedResolution, tags and channelrecordedKnowledge gap loggedUnanswered issue routed to anownerClosecustomer served
Figure 2 — Receive → identify → classify → resolve → escalate → policy branch → auto-close or human team.
  1. Receive: Message arrives on chat, email or a social channel
  2. Identify: Customer, order and entitlement matched to the thread
  3. Classify: Intent, urgency and support tier set automatically
  4. Resolve: Grounded answer or a tool action, with the source cited
  5. Escalate: Anything unresolved routed with the full context
  6. Close: Resolution, tags and satisfaction recorded on the ticket
  7. Path 1 · resolved by the agent — Answer and close: Ticket closed with the source cited
  8. Path 2 · complex or out of policy — Route to a human team: Assigned with the full cross-channel thread

03 — Components

Key Microsoft components

Round-the-clock support only works if the knowledge, the channels and the guardrails are all in one place — they stay on the Microsoft stack.

  • Microsoft Copilot Studio iconMicrosoft Copilot StudioChannel publishing to web, Teams and regional messaging apps.
  • Azure Communication Services iconAzure Communication ServicesEmail, SMS and chat with one thread per customer.
  • Azure Static Web Apps iconAzure Static Web AppsHelp centre and embedded support widget.
  • Azure API Management iconAzure API ManagementSecure gateway for CRM, order and entitlement APIs.
  • Microsoft Foundry Agent Service iconMicrosoft Foundry Agent ServiceAnswering, tool actions and escalation orchestration.
  • Azure OpenAI models iconAzure OpenAI modelsGrounded replies, multilingual answers and ticket summaries.
  • Azure AI Search iconAzure AI SearchRetrieval over knowledge articles and resolved tickets.
  • Azure AI Content Safety iconAzure AI Content SafetyTone, policy and regulated-language guardrails.
  • Microsoft Entra permissions iconMicrosoft Entra permissionsEntitlement resolution before any account action.
  • Azure Logic Apps iconAzure Logic AppsTicket creation, classification, routing and follow-up.
  • Azure SQL iconAzure SQLTickets, resolutions, tags and satisfaction records.
  • Azure Cosmos DB iconAzure Cosmos DBCross-channel thread and conversation state.
  • Azure Blob Storage iconAzure Blob StorageAttachments, screenshots and conversation archives.
  • Power BI / Microsoft Fabric iconPower BI / Microsoft FabricDeflection, backlog, resolution and satisfaction dashboards.

04 — AI

What the agent consumes

The capabilities the agent applies to every contact, and the line it does not cross.

AI capabilities embedded in the agent

  • Intent detection
  • Language detection
  • Sentiment analysis
  • Ticket classification
  • Priority and tier routing
  • Retrieval-augmented generation
  • Answer citation
  • Tool actions
  • Cross-channel thread stitching
  • Duplicate detection
  • Deflection analytics
  • Escalation routing

AI responsibility boundaries

The agent answers from approved knowledge and cites the source, and acts only through the tools it has been given. It does not invent policy, issue refunds or credits outside published rules, or handle payment details. Out-of-policy, angry or repeated contacts route to a human team with the full history, and every automated resolution stays reviewable.

05 — Personalization

Personalization & evolving process

The same methodology applies to every agent in the catalog. Tune the channels, the support template, the policy rules and the value model — the page structure stays identical.

Channel & coverage profile

Define the channels in scope, languages, hours of cover, entitlement tiers and the regional messaging platforms customers actually use. The personas are the customer, the support agent, the team lead and the knowledge owner.

06 — Impact

Key outcomes & business impact

Starting targets for the value case — validate each one against the customer baseline during discovery.

  • Coverage24/7Answers at midnight and on public holidays, not just office hours.
  • First responseSecondsNo queue before a customer gets a grounded answer.
  • Ticket deflection40%+Recurring issues resolved without reaching a person.
  • Channel continuityOne threadContext follows the customer from chat to email.

Illustrative improvement index

Manual baseline = 100. Illustrative targets, not a commitment — confirm against the customer baseline.

10010First response time10045Ticket backlog10055Cost per ticketManual baselineAI-assisted target
  • First response time: manual baseline 100, AI-assisted target 10
  • Ticket backlog: manual baseline 100, AI-assisted target 45
  • Cost per ticket: manual baseline 100, AI-assisted target 55

Related & recommended

Derived automatically from our solution knowledge graph.

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Technologies

What powers this solution.

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