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Girish Suryajoies

Principal UX Designer

Wayfare — AI-orchestrated travel

April 2026

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Wayfare is an AI-orchestrated travel platform that assembles an entire trip — hotel, airport transfer, ground transport, and payment — into one continuous itinerary instead of three separate bookings. Tell it where you're headed and why, and a travel agent AI builds the trip, then adapts it in real time: rebooking a transfer when a flight slips, holding a room past a late landing, settling payment without a card in sight. For business travelers, the same agent enforces company travel policy invisibly — approving in-policy bookings instantly and escalating only genuine exceptions — replacing the travel desk with a policy-aware AI that never sleeps.

Apps juggled per trip  4+

Travel booking market  $1.9T

Bookings needing manual approval  68%

Lost per trip coordinating transfers  3.5 hrs

Who we're designing for

Leisure traveler - Primary
Wants one seamless booking, without price or cancellation anxiety.

Business traveler - Primary

Needs a fast, in-policy booking without waiting on approvals.

Travel and finance admin - Secondary

Needs policy compliance and visibility without manual review.

Premium frequent traveler - Influencer

Values flexible cancellation and elite perks; drives referrals.

Go-to-market roadmap

Phase 1 Consumer launch  0-6 mo

  • Hotel, transfer, and ground transport in one checkout

  • Single in-app payment, simplified cancellation

  • Premium tier pilot: fee-free late cancellation

  • Target frequent leisure and solo business travelers

Phase 2  Business expansion  6-18 mo

  • re-approved corporate booking engine and policy layer

  • Admin console for spend caps and preferred vendors

  • Expense tool integrations and calendar sync

  • Mid-market pilots, 50 to 500 employees

Phase 3  AI at scale  18-36 mo

  • Automatic rebooking across hotel and transport

  • Predictive policy engine for entire trip types

  • Enterprise rollout with a travel analytics dashboard

  • Open marketplace for transport and hotel partners

UX use cases

Consumer  One-tap multi-leg booking

Enter a destination and dates; the AI assembles a hotel near the meeting or venue, an airport transfer, and ground transport into a single checkout with one price and one cancellation policy.

Business  Pre-approved corporate checkout

An employee searches within company-defined parameters; the AI approves and books instantly with no manager or travel-desk sign-off, escalating only genuine exceptions.

AI orchestration  Real-time trip adaptation

When a flight is delayed, the agent reschedules the airport pickup, notifies the driver, and adjusts the hotel check-in automatically.

Loyalty  Fee-free flexible cancellation

Premium members get one-tap cancellation up to departure, with the AI proactively suggesting rebooking options if plans change.

UX journey

1. Trip intent captured  AI

A simple prompt — "Chicago client meeting Thursday, need a hotel and airport pickup" — is parsed into structured requirements..

2. Itinerary assembled AI

The AI selects a hotel near the meeting, times the transfer to the flight's arrival, and bundles ground transport into one itinerary.

3. Policy check for business trips  AI

Corporate bookings are validated against company policy silently; only genuine exceptions are routed to a human approver.

4. One-tap confirm and pay

The traveler reviews the assembled trip and confirms with a single in-app payment — no separate checkouts.

5. Live trip monitoring  AI

Flight status, traffic, and hotel availability are tracked throughout the trip, with transfers adjusted automatically as things change.

Positioning and differentiation

One itinerary, not three bookings

Wins by treating the trip as one orchestrated unit, not a bundle of separate marketplace searches.

Policy-aware, not policy-blocking

Company travel policy is enforced invisibly by AI, not gatekept manually by a travel desk.

Adaptive, not static

The itinerary keeps working after checkout — real-time rebooking

Contact

Phone

+1 214 899 4396

Email

Reference

  • LinkedIn

Download (PDF File)

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