AI Agent

Personalized Travel Agent

Personalized Travel Agent that automates customer service workflows using your data and tools.

The challenge

Building an itinerary means switching between supplier systems, checking travel policy by hand, and calling the traveller back with options that may already be sold out. Out-of-policy bookings are caught after the money is spent, and when a flight moves at midnight there is nobody there to re-plan it.

The outcome

Azure API Management reaches the supplier and distribution systems, Azure AI Search compares destinations and fare rules, and a Microsoft Foundry agent composes a costed itinerary inside policy and budget. The traveller confirms before anything is booked, and disruption surfaces options as soon as a booking moves.

At a glance

Type: ai agents
Category: specialized

Next step

Move from solution to engagement.

Build This Solution

01 — Architecture

End-to-end architecture

A traveller states dates, budget and preferences on any channel. The request passes through a secure gateway to supplier and distribution APIs, the Foundry agent composes a coherent itinerary inside policy and budget, and the traveller confirms before anything is booked. Exceptions and live disruptions go to a human consultant.

Figure 1 — End-to-end reference architecture for a personalised travel agent on the Microsoft stack.

02 — Workflow

Process & decision workflow

How a request becomes a booked trip — understand, search, compose, price and confirm, then branch. In-policy, available itineraries confirm and issue documents automatically, while an exception, a VIP traveller or a live disruption hands across to a consultant with the options already evaluated.

Figure 2 — Understand → search → compose → price → confirm → policy branch → auto book or consultant.

03 — Components

Key Microsoft components

Travel is a live pricing and constraint problem — search, composition and service all stay on the Microsoft stack.

Azure Static Web AppsBranded booking and self-service experience.
Azure Communication ServicesChat, SMS and proactive disruption notifications.
Azure API ManagementSecure gateway for distribution, supplier and payment APIs.
Azure Container AppsItinerary composition and pricing workers.
Microsoft Foundry Agent ServicePlanning, pricing and booking orchestration with tools.
Azure OpenAI modelsPreference extraction, itinerary narration and messaging.
Azure AI SearchRetrieval over destinations, fare rules and past trips.
Azure AI Content SafetyPolicy, tone and regulated-claim guardrails.
Azure Logic AppsBooking, ticketing, document issue and re-accommodation.
Azure SQLBookings, traveller profiles and financial records.
Azure Cosmos DBLive itinerary state, holds and conversation history.
Azure Key VaultSupplier credentials and integration secrets.
Azure Blob StorageTravel documents, vouchers and itinerary artefacts.
Power BI / Microsoft FabricAttach rate, policy compliance and satisfaction dashboards.

04 — AI

What the agent consumes

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

AI capabilities embedded in the agent

Preference extraction
Multi-supplier search
Constraint solving
Policy compliance checks
Live pricing lookup
Retrieval-augmented generation
Itinerary narration
Disruption re-accommodation
Upsell recommendation
Multilingual conversation
Sentiment-aware escalation
Workflow orchestration

AI responsibility boundaries

The agent plans, prices and books inside the configured travel policy and budget. It does not hold payment card data, waive fare rules or override supplier terms. Exceptions, VIP travellers and live disruptions transfer to a human consultant with the full itinerary and the options already evaluated.

05 — Personalization

Personalization & evolving process

The same methodology applies to every agent in the catalog. Tune the traveller profile, the booking template, the policy and the value model — the page structure stays identical.

Traveller & policy profile

Define whether travel is corporate or leisure, the regions, languages, travel policy and loyalty programmes in scope. The personas are the traveller, the booker, the consultant and the travel manager.

06 — Impact

Key outcomes & business impact

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

Time to itineraryMinutesA costed, policy-compliant plan instead of a callback.
Policy compliance95%+Out-of-policy options are flagged before they are offered.
Attach rate+25%Relevant transfers, stays and experiences offered in context.
Disruption response24/7Options are presented as soon as a flight or booking moves.