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Make your airline
agent-ready.

AI agents are becoming a new interface for travel. Aviark gives airlines a governed layer that lets agents search, compare, book, and service airline products safely—without losing control of commercial policy.

aviark.commerce.offerIllustrative sample data
{
  "offer_id": "AVK-2026-06-15-SRA-0842",
  "carrier": {
    "code": "SRA",
    "name": "Sierra Atlantic"
  },
  "itinerary": {
    "origin": "LHR",
    "destination": "JFK",
    "departure": "2026-06-15T09:30Z"
  },
  "fare_family": "Business Flex",
  "price": {
    "total": 2847.00,
    "currency": "GBP"
  },
  "ancillaries": [
    "extra_bag",
    "lounge_access",
    "wifi"
  ],
  "change_policy": {
    "permitted": true,
    "fee": 0
  },
  "cancel_policy": {
    "permitted": true,
    "refund_type": "original_form"
  }
}

THE PROBLEM

Airlines aren't built for agents.

New demand channel, no interface

AI agents are emerging as a potential new demand and servicing channel for travel. But most airlines lack a standardized, governed interface for exposing products and servicing actions to autonomous agents.

Richer offers need structure

Airlines are investing in branded fares, bundles, ancillaries, and personalized offers through NDC. Agents need structured semantics to preserve that richness instead of flattening it.

Servicing is the hard part

Booking is just the beginning. Changes, cancellations, disruptions, refunds, and ancillary updates are where agents need structured workflows, permissions, and audit trails.

THE PLATFORM

Five layers. One governed interface.

Aviark sits above NDC and legacy airline systems — where supported, as airline-specific implementations vary — normalizing fragmented commerce into a consistent model that agents can use safely.

1

Airline Connectors

Airline-specific NDC implementations, legacy APIs, partner feeds, ancillaries, loyalty, and order systems, where supported.

2

Canonical Commerce Schema

Itinerary, offers, branded fares, fare families, ancillaries, fare rules, traveler eligibility, order state, servicing options.

3

Policy & Orchestration Engine

Eligibility checks, ranking logic, guardrails, identity, consent, airline-defined rules, and audit trails.

4

Agent Interface

Structured endpoints and tools for AI agents, airline front ends, and partner applications.

5

Execution Layer

Create order, hold, confirm, modify, cancel, refund request, and disruption workflows.

Airline systems below · AI agents above

HOW IT WORKS

From intent to order, structured and governed.

01

Traveler expresses intent

A traveler asks their AI assistant for a business trip with preferences, flexibility constraints, and loyalty context. Aviark converts this into a structured shopping request.

// Natural language → structured intent
{
  "intent": "business_trip",
  "origin": "LHR",
  "destination": "JFK",
  "dates": {
    "depart": "2026-06-15",
    "flex": 2
  },
  "cabin": "business",
  "preferences": [
    "refundable",
    "lounge"
  ]
}
02

Normalized offers returned

Aviark queries airline systems and returns normalized offers with fare families, baggage, refundability, change rules, ancillaries, total price, and source freshness.

// Illustrative — 3 offers, normalized
offers: [
  {
    fare_family: "Business Flex",
    price: 2847,
    change: "free",
    cancel: "full_refund",
    ancillaries: ["extra_bag", "lounge"]
  },
  {
    fare_family: "Premium Plus",
    price: 1290,
    change: "£150 fee",
    cancel: "voucher",
    ancillaries: ["seat_selection"]
  },
  ...
]
03

Agent explains tradeoffs

The agent compares options by tradeoff, not just price. Fare flexibility, ancillary value, loyalty earning, and change policies are surfaced in plain language for the traveler.

// Agent comparison summary
"Business Flex offers free changes
 and full refund — ideal for your
 flexible schedule.

 Premium Plus saves £1,557 but
 charges £150 per change with
 voucher-only cancellation."
04

Order created with audit trail

The traveler approves. Aviark creates or simulates the order, depending on airline integration and permissions, logs the action, and maintains a full evidence trail — including post-booking servicing like changes or cancellations.

// Illustrative — order + audit
{
  "order_id": "AVK-ORD-2026-8841",
  "status": "confirmed",
  "audit": {
    "action": "create_order",
    "approved_by": "traveler",
    "timestamp":
      "2026-06-15T10:14:22Z",
    "policy_check": "passed"
  }
}

WHY AVIARK

Built for airline commercial teams.

Not a chatbot. Not a generic API. Airline-side infrastructure for structured agent commerce — built for distribution, digital commerce, retailing, NDC/Offer-Order, and commercial transformation teams.

Channel Control

Expose airline products to AI agents under airline-defined rules. Control how offers, pricing, and policies are represented in every agent interaction.

Merchandising Preserved

Branded fares, ancillaries, bundles, and restrictions stay visible and structured instead of being flattened into a price-only comparison.

Faster Agent Readiness

Test AI-agent commerce without rebuilding the core airline stack. Aviark connects to existing NDC and legacy systems and adds the agent layer on top.

Servicing Consistency

Structured workflows for changes, cancellations, disruptions, refunds, and ancillary updates. Not just booking — the full post-booking lifecycle.

Governance & Auditability

Permissions, consent, policy enforcement, and full audit trails for every agent action. Airlines stay in control of what agents can do.

WHY NOW

The industry is moving.

Airlines are modernizing around offers and orders. AI agents are emerging as a new travel interface. Aviark connects the two.

IATA

Modern Airline Retailing is framed as the industry transition toward 100% Offers and Orders, supported by NDC, ONE Order, and related standards.

Riyadh Air

Described by partners as on track to become the first full-service carrier operating entirely on an Offer & Order framework, with real-time order management.

Google

AI Mode travel features will let users compare flights, refine options, and complete bookings through partners via agentic interfaces.

Sabre

Announced agentic-ready APIs and an MCP server for flights, hotels, and post-booking services, signaling GDS-level commitment.

PwC

Travel brands should expose real-time availability, pricing, ancillaries, loyalty, and payments through secure APIs for agentic commerce.

GET STARTED

Ready to make your airline agent-ready?

We're currently speaking with airline retailing, distribution, and digital commerce teams about agent-readiness assessments and pilot connector deployments.

Let's talk about what agent readiness looks like for your airline.

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